Paris-Based AI Voice Startup Gradium Secures $70M in Seed Funding

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  <h2>Gradium Launches with $70 Million Seed Round to Revolutionize Audio Language AI</h2>

  <p id="speakable-summary" class="wp-block-paragraph">Gradium, a promising new startup emerging from the French AI research lab Kyutai, has officially launched, backed by a $70 million seed round led by a prestigious lineup of investors.</p>

  <h3>Investment Backing from Industry Leaders</h3>
  <p class="wp-block-paragraph">The funding round was spearheaded by FirstMark Capital and Eurazeo, with notable contributions from telecom billionaire Xavier Niel, DST Global Partners, Eric Schmidt, and several other prominent investors.</p>

  <h3>Innovative Audio Language AI Models</h3>
  <p class="wp-block-paragraph"><a target="_blank" rel="nofollow" href="http://gradium.ai">Gradium</a> specializes in developing advanced audio language AI models that deliver swift, ultra-low latency voice responses. Founded in September 2025 by Neil Zeghidour, a key member of the Kyutai team and former researcher at Google DeepMind, Gradium aims to enhance the speed and accuracy of voice models for developers.</p>

  <h3>Multilingual Support from Day One</h3>
  <p class="wp-block-paragraph">As a European startup, Gradium proudly provides multilingual support right from the start, covering English, French, German, Spanish, and Portuguese, with plans to expand further into additional languages.</p>

  <h3>Competing in a Crowded Market</h3>
  <p class="wp-block-paragraph">The competition is fierce, with major players in the field such as <a target="_blank" href="https://techcrunch.com/2025/03/20/openai-upgrades-its-transcription-and-voice-generating-ai-models/">OpenAI</a>, <a target="_blank" href="https://techcrunch.com/2025/05/27/anthropic-launches-a-voice-mode-for-claude/">Anthropic</a>, <a target="_blank" rel="nofollow" href="https://ai.meta.com/blog/llama-4-multimodal-intelligence/">Meta Llama</a>, and <a target="_blank" rel="nofollow" href="https://mistral.ai/news/voxtral">Mistral</a> already offering robust voice and speech recognition solutions. Well-funded startups like <a target="_blank" href="https://techcrunch.com/2025/10/29/elevenlabs-ceo-says-ai-audio-models-will-be-commoditized-over-time/">ElevenLabs</a> and numerous models on Hugging Face also saturate the market, making it clear that developers have many choices for AI voice capabilities.</p>

  <h3>The Growing Demand for Realistic AI Voices</h3>
  <p class="wp-block-paragraph">Nevertheless, the demand for Gradium's aim — delivering ultra-realistic voice expression and accuracy — is poised to increase as AI transitions from text-based interactions to more dynamic AI agents, finding applications across entertainment, work, and beyond.</p>
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This structured rewrite employs engaging subheadings and SEO-friendly formats to enhance visibility and clarity while retaining the key information from the original article.

Here are five FAQs about Gradium, the Paris-based AI voice startup that recently secured $70 million in seed funding:

FAQ 1: What is Gradium?

Answer: Gradium is a Paris-based AI voice startup focused on developing advanced voice technologies to enhance communication and user interactions across various platforms and devices.

FAQ 2: What does the recent $70 million seed funding mean for Gradium?

Answer: The $70 million seed funding will enable Gradium to accelerate its research and development efforts, expand its team, and enhance its product offerings, positioning the company for rapid growth in the AI voice technology market.

FAQ 3: Who are the investors backing Gradium?

Answer: Gradium’s seed funding round included a mix of venture capital firms and angel investors, with interests in AI, technology, and innovative startups that demonstrate strong growth potential.

FAQ 4: What applications does Gradium’s technology support?

Answer: Gradium’s voice technology can be integrated into various applications, including customer service solutions, virtual assistants, gaming, content creation, and more, aiming to improve user experience through natural and interactive voice engagement.

FAQ 5: How does Gradium ensure ethical AI voice technology?

Answer: Gradium is committed to ethical AI development by implementing guidelines for responsible AI usage, ensuring user privacy, and focusing on transparency in how its technologies are used and applied in various contexts.

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VCs Ditch Traditional Guidelines for a ‘Funky Era’ of AI Startup Investing

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  <h2>The Evolving Landscape of AI Startup Investments</h2>

  <p id="speakable-summary" class="wp-block-paragraph">Venture capitalists recognize that investing in AI startups demands a novel approach, distinct from previous tech innovations.</p>

  <h3>A New Investment Paradigm for AI</h3>
  <p class="wp-block-paragraph">"It’s a funky time," remarked Aileen Lee, founder and managing partner of Cowboy Ventures, during her appearance at TechCrunch Disrupt 2025. She emphasized that the rules of engagement have transformed, as some AI companies achieve "zero to $100 million in revenue within a single year."</p>

  <h3>What Investors Are Really Looking For</h3>
  <p class="wp-block-paragraph">Lee highlighted that Series A investors aren't merely focused on explosive revenue growth. "It’s an algorithm with different variables and different coefficients," she explained, detailing how aspects like data generation, competitive strength, founders' track records, and product technicality are measured.</p>

  <h3>Challenges in Securing Follow-On Funding</h3>
  <p class="wp-block-paragraph">Jon McNeill, co-founder and CEO of DVx Ventures, noted that even startups achieving rapid growth to $5 million often struggle to secure subsequent funding. "This game has changed, and it is changing dynamically," he asserted.</p>

  <h3>Raising the Bar for Seed-Stage Startups</h3>
  <p class="wp-block-paragraph">McNeill pointed out that investors are now applying rigorous criteria to seed-stage companies that were previously reserved for more mature entities. "Breakout companies often don’t have the best tech," he said, stressing that successful startups focus on effective go-to-market strategies.</p>

  <h3>The Balancing Act: Technology vs. Go-to-Market Strategy</h3>
  <p class="wp-block-paragraph">Steve Jang, founder of Kindred Ventures, contested the notion that a great go-to-market strategy outweighs technological prowess. "It’s not entirely accurate to claim that mediocre tech can triumph purely with strong marketing," he stated, reinforcing the need for a dual focus.</p>

  <h3>Marketing Sophistication is Key</h3>
  <p class="wp-block-paragraph">McNeill later clarified that while a solid product is crucial, founders must prioritize building robust sales and marketing strategies from the outset. "Investors are becoming more sophisticated in evaluating go-to-market approaches," he said.</p>

  <h3>The Pressure to Innovate Rapidly</h3>
  <p class="wp-block-paragraph">Lee mentioned that AI startups face unprecedented pressure to roll out product updates and features rapidly, preempting competitors. "If you look at OpenAI and Anthropic, you’ll need to match their pace and quality," she advised.</p>

  <h3>The AI Landscape: A Work in Progress</h3>
  <p class="wp-block-paragraph">Despite these pressures, panelists unanimously acknowledged that the AI sector remains in its infancy. As Jang put it, "There are no clear winners, even among LLMs. Competitors are right on their heels." This presents opportunities for new players to challenge established leaders.</p>
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This structure maintains the original content’s essence while enhancing readability and SEO optimization with well-structured headings.

Here are five FAQs related to the trend of VCs abandoning old rules for a more unconventional approach to investing in AI startups:

FAQ 1: What does it mean for VCs to abandon old rules in investing?

Answer: Abandoning old rules means that venture capitalists are moving away from traditional investment strategies and criteria, such as extensive market research and revenue forecasts. Instead, they are embracing a more open-minded approach, focusing on the potential of innovative ideas, unique technologies, and the creative vision of startup founders.

FAQ 2: Why are VCs investing in AI startups now more than ever?

Answer: The surge in AI innovations and applications has created exciting opportunities for growth. VCs recognize that AI is transforming industries, and investing early in these technologies can lead to substantial returns. The increasing demand for AI solutions in various sectors makes this a promising area for investment.

FAQ 3: What kind of startups are attracting VC attention in the AI sector?

Answer: Startups that demonstrate not only advanced technology but also creative and unconventional business models are gaining traction. VCs are particularly interested in companies that leverage AI in unique ways, such as improving user experience, automating complex processes, or creating entirely new markets.

FAQ 4: How can startups best position themselves to attract VC funding in this new investment climate?

Answer: Startups should focus on showcasing their innovative potential and scalability. Building a compelling narrative around the technology, its applications, and the team behind it can help. Additionally, demonstrating adaptability and responding to market changes quickly can resonate with VCs looking for future-proof investments.

FAQ 5: What are the risks of this new ‘funky’ approach to investing?

Answer: While this unconventional approach can lead to high rewards, it also comes with risks. VCs may invest in startups without the extensive due diligence traditionally required, which could result in funding unreliable or underperforming companies. Additionally, the rapid pace of change in the AI sector means that today’s hot technology might become obsolete quickly, adding further investment risk.

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Lovable Approaches 8 Million Users as Year-Old AI Coding Startup Targets Corporate Workforce Expansion

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    <h2>Lovable's Remarkable Growth: From 2.3 Million to Nearly 8 Million Users in Just Months</h2>

    <p id="speakable-summary" class="wp-block-paragraph">
        <a target="_blank" href="https://lovable.dev/" rel="noreferrer noopener nofollow">Lovable</a>, the Stockholm-based AI coding platform, is on the verge of reaching 8 million users, a significant leap from the <a target="_blank" href="https://techcrunch.com/2025/07/17/lovable-becomes-a-unicorn-with-200m-series-a-just-8-months-after-launch/">2.3 million</a> reported in July. CEO Anton Osika revealed that over “100,000 new products are created on Lovable daily,” showcasing the platform's rapid growth since its launch just a year ago.
    </p>

    <h3>A Closer Look at Lovable's Funding and Valuation</h3>

    <p class="wp-block-paragraph">
        Lovable has successfully raised a total of $228 million, including a notable $200 million round this summer, leading to a valuation of $1.8 billion. Speculations suggest that new investors may be interested in a $5 billion investment, though Osika emphasized that the company is currently not in need of additional capital and refrained from discussing future fundraising plans.
    </p>

    <h3>Examining Sustainability: Annual Revenue and User Engagement</h3>

    <p class="wp-block-paragraph">
        During a discussion at the Web Summit in Lisbon, Osika did not disclose Lovable's latest annual recurring revenue (ARR), though the platform achieved $100 million in ARR this past June. Concerns have been raised regarding the sustainability of the vibe coding trend, particularly following a report from Barclays indicating a 40% decline in traffic for Lovable since its peak earlier this year.
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    <h3>Strong User Retention and Growing Team</h3>

    <p class="wp-block-paragraph">
        Despite the drop in traffic, Osika noted that user retention remains robust, boasting over 100% net dollar retention. The company is also expanding its workforce, surpassing the 100-employee mark, and is attracting leadership talent from San Francisco to enhance operations at its Stockholm headquarters.
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    <h3>A Vision Beyond Coding: Empowering Non-Developers</h3>

    <p class="wp-block-paragraph">
        Lovable originated from GPT Engineer, an open-source tool created by Osika that gained popularity among developers. Recognizing a larger opportunity, Osika aims to transform how software is built, catering to the 99% of people without coding skills. "I realized we were going to revolutionize software creation," he stated, recounting the inspiration for Lovable.
    </p>

    <h3>An Eclectic User Base: From Fortune 500 Companies to Young Innovators</h3>

    <p class="wp-block-paragraph">
        Lovable’s platform attracts a diverse range of users; over half of Fortune 500 companies utilize it to “supercharge creativity.” Notably, an 11-year-old in Lisbon successfully built a Facebook clone for school, while a pair of Swedish entrepreneurs generate $700,000 annually from a startup launched on Lovable just seven months ago.
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    <h3>Addressing Security Concerns in Vibe Coding</h3>

    <p class="wp-block-paragraph">
        Security is a critical issue in the vibe coding arena. Osika acknowledged recent incidents, including a leak involving an app that exposed 72,000 images, and emphasized the company's commitment to enhancing security. "We are prioritizing the hiring of security engineers," he noted, explaining that Lovable conducts multiple security checks before deployment.
    </p>

    <h3>Competition and Collaboration in the AI Coding Space</h3>

    <p class="wp-block-paragraph">
        When discussing rivals such as OpenAI and Anthropic, Osika took a collaborative approach, stating that the market can support multiple successful platforms. His focus lies in maximizing human creativity and enabling anyone with good ideas to build businesses, rather than fixating on competition.
    </p>

    <h3>Building the Future of Software Development</h3>

    <p class="wp-block-paragraph">
        Osika aims for Lovable to become the ultimate software development platform, streamlining tasks such as user understanding and feature deployment through a user-friendly interface. "Demo, don’t memo,” reflects the modern approach to using Lovable, where teams can quickly prototype and test their ideas without extensive preparatory work.
    </p>

    <h3>A Balanced Approach to Startup Culture</h3>

    <p class="wp-block-paragraph">
        Despite the rapid growth and media attention, Osika remains grounded. He values a mission-driven team culture that prioritizes work-life balance over the typical hustle associated with Silicon Valley startups. "Our best team members care deeply about our mission," he remarked, acknowledging the challenges of startup life while emphasizing their commitment to a sustainable work environment.
    </p>
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This rewrite highlights essential points while ensuring clarity and SEO optimization through structured headings and engaging language.

Here are five FAQs regarding Lovable’s recent growth and focus on corporate employees:

FAQ 1: What is Lovable?

Answer: Lovable is an AI coding startup that provides tools and solutions to assist developers in writing and optimizing code. Recently, it has celebrated reaching nearly 8 million users, showcasing its rapid growth since its inception.

FAQ 2: What features does Lovable offer to its users?

Answer: Lovable offers a range of features including code completion, debugging assistance, and suggestions for code optimization. Its AI-driven tools are designed to enhance productivity and streamline the coding process for developers.

FAQ 3: Why is Lovable targeting corporate employees?

Answer: Lovable is focusing on corporate employees to expand its user base and meet the increasing demand for efficient coding solutions in the workplace. By targeting businesses, Lovable aims to provide teams with the tools needed to enhance collaboration and productivity.

FAQ 4: How can corporate employees benefit from Lovable’s tools?

Answer: Corporate employees can benefit from Lovable’s tools through improved coding efficiency, reduced errors, and better team collaboration. The AI capabilities can help teams streamline their development processes, making it easier for them to deliver high-quality software on time.

FAQ 5: What are Lovable’s plans for the future?

Answer: Lovable plans to continue expanding its user base, particularly among corporations, by enhancing its platform with new features and capabilities. The goal is to make coding more accessible and efficient for developers and teams worldwide as it continues to grow.

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Cluely’s Roy Lee Discusses the Ragebait Strategy in Startup Marketing

Mastering the Art of Going Viral: Insights from Cluely’s Roy Lee

Roy Lee from Cluely stresses the importance of viral marketing for startup founders.

Focus on Distribution in Supercharged Markets

At Disrupt 2025, Lee emphasized, “If you’re not entrenched in deep tech, it’s crucial to shift your focus to effective distribution strategies.”

Viral Marketing Isn’t for Everyone

Lee candidly noted that not all founders possess the innate qualities required for viral success. “If you have solid engineering skills, you might struggle to create engaging content — and that’s okay. For many, going viral might just not be feasible.”

Cluely: A Case Study in Controversial Success

This April, Cluely’s AI assistant gained traction through a bold, albeit false, claim that its undetectable features could “help you cheat on anything.” Despite being debunked by various proctoring services, the company swiftly attracted $15 million from Andreessen Horowitz, rising to prominence in the competitive AI assistant landscape.

Controversy as a Strategy

Lee shared his knack for generating attention, often through controversy. “I excel at presenting myself in provocative ways,” he revealed onstage, “which tends to ignite strong reactions from people.”

The New Currency: Attention Over Reputation

For Lee, the rules of social media have changed significantly. “In today’s world, reputation is fading,” he stated. “While some might cling to traditional standards, influencers like Sam Altman and Elon Musk dominate the conversation.”

Embracing Extreme Authenticity

“It’s crucial to adapt to a shifting landscape where authenticity and personal engagement matter,” he added, recognizing the evolving dynamics of audience interaction.

The Jury’s Out on Revenue Numbers

Although Lee was hesitant to disclose Cluely’s financial metrics, he shared, “I’ve learned to keep revenue figures private; if you’re thriving, few discuss it, but if you’re struggling, it’s all anyone talks about. I’ll say we’re performing better than I anticipated, though we’re not the fastest-growing company out there.”

Here are five FAQs regarding Cluely’s Roy Lee and the ragebait strategy for startup marketing:

FAQ 1: What is the ragebait strategy in startup marketing?

Answer: The ragebait strategy involves creating provocative content that elicits strong emotional reactions—especially anger or outrage—from the audience. By tapping into controversial topics or polarizing opinions, startups can generate buzz, increase engagement, and drive traffic to their platforms.

FAQ 2: How can startups effectively implement the ragebait strategy?

Answer: Startups can implement this strategy by identifying trending issues or debates relevant to their target audience. They should craft engaging content—like articles, social media posts, or videos—that presents a bold stance or challenges popular beliefs, encouraging discussions and shares.

FAQ 3: Are there risks associated with the ragebait strategy?

Answer: Yes, there are potential risks. While it can drive immediate engagement, using ragebait can alienate some audience members or damage a startup’s reputation. It’s crucial to balance provocation with authenticity and ensure that the content aligns with the brand’s values.

FAQ 4: How does the ragebait strategy differ from traditional marketing tactics?

Answer: Traditional marketing often focuses on positive messaging and building long-term relationships with consumers, whereas the ragebait strategy prioritizes quick, electrifying reactions that lead to immediate visibility and engagement. This divergence means startups using ragebait must be prepared for both positive and negative feedback.

FAQ 5: Can the ragebait strategy be used sustainably in marketing?

Answer: While the ragebait strategy can yield quick results, relying solely on it isn’t sustainable. It’s important for startups to balance ragebait tactics with genuine, value-driven content that fosters loyalty and trust. Creating a diversified marketing approach will help sustain engagement over time.

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Co-Founders of Eightfold Secure $35M for Viven, an AI Startup Creating Digital Twins for Accessing Unavailable Co-Workers

Revolutionizing Workplace Communication: Viven’s Digital Twin Technology

In today’s fast-paced work environment, effective communication is critical. However, when key team members are unavailable—whether on vacation or working across time zones—productivity suffers. Viven aims to change this dynamic.

Introducing Viven: A Game-Changer in Workforce Accessibility

Founded by Ashutosh Garg and Varun Kacholia, the minds behind the $2.1 billion AI recruiting startup Eightfold, Viven leverages the latest advances in Large Language Models (LLMs) and data privacy technologies to address these challenges. This innovative digital twin startup allows employees to access vital information from colleagues, even when they are not present.

Viven Emerges from Stealth Mode with Robust Backing

Recently launched, Viven secured $35 million in seed funding from prominent investors like Khosla Ventures, Foundation Capital, and FPV Ventures, marking a significant step in transforming workplace communication.

How Viven Creates Personalized Digital Twins

Viven builds a specialized LLM for each employee, essentially crafting a digital twin by analyzing their internal documents, including emails, Slack messages, and Google Docs. This allows other team members to query a colleague’s digital twin for immediate insights on shared projects, enhancing collaboration.

The Assurance of Privacy: Pairwise Context Technology

A critical concern is privacy, as employees often handle sensitive information. Viven addresses this through “pairwise context and privacy,” enabling LLMs to expertly manage what information can be shared and with whom, ensuring confidentiality while promoting accessibility.

Maintaining Integrity: Safeguards Against Inappropriate Queries

Viven’s system is designed to understand personal contexts, filtering out sensitive topics and protecting employee privacy. Each user has access to their digital twin’s query history, acting as a deterrent against inappropriate inquiries.

Strong Demand: Early Adoption by Major Enterprises

Viven is already in action at several enterprise-level clients including Genpact and Eightfold, demonstrating its potential to reshape workplace dynamics. Both Garg and Kacholia continue to balance their efforts between leading Eightfold and Viven.

Facing Competition: Viven’s Unique Market Position

Garg asserts that Viven stands alone in the digital twin market for enterprises. His discussions with Vinod Khosla confirmed the absence of direct competitors, which led to Khosla’s investment.

Future Landscape: Anticipating Market Changes

While there are no immediate rivals, Garg acknowledges that other tech giants like Anthropic, Google, Microsoft, and OpenAI could eventually explore similar offerings. Viven aims to maintain its edge through its innovative pairwise context technology.

Sure! Here are five FAQs based on the fundraising news about Viven, the AI digital twin startup co-founded by Eightfold’s founders:

FAQ 1: What is Viven?

Answer: Viven is an AI digital twin startup focused on creating virtual representations of co-workers, allowing users to query unavailable team members for insights, knowledge, and decisions, enhancing collaboration and productivity.

FAQ 2: How much funding did Viven raise?

Answer: Viven successfully raised $35 million in funding, which will be used to further develop its technology and expand its market reach.

FAQ 3: Who are the co-founders of Viven?

Answer: Viven was co-founded by the founders of Eightfold, a company known for its innovative approaches in AI and talent management, leveraging their expertise to drive Viven’s vision.

FAQ 4: What problem does Viven aim to solve?

Answer: Viven addresses the challenge of accessibility to knowledge and expertise when co-workers are unavailable. By creating digital twins, Viven enables teams to glean valuable insights even in the absence of key personnel.

FAQ 5: How does Viven’s technology work?

Answer: Viven’s technology utilizes AI to create digital replicas of individuals based on their knowledge, communication styles, and decision-making patterns. This allows users to interact with these digital twins to access information and insights as if they were conversing with the actual co-worker.

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Nvidia’s AI Dominance: Exploring Its Major Startup Investments

Sure! Here’s a rewritten version of your article with engaging headlines and SEO optimization:

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  <h2>Nvidia: Leading the Charge in AI Investments</h2>
  <p id="speakable-summary" class="wp-block-paragraph">No company has harnessed the AI revolution as effectively as Nvidia. Since the launch of ChatGPT and the wave of competitive generative AI services, Nvidia has seen its revenue, profitability, and cash reserves soar. With a market capitalization of $4.5 trillion, the company’s stock has skyrocketed, marking it as a formidable player in the tech industry.</p>

  <p class="wp-block-paragraph">As the premier manufacturer of high-performance GPUs, Nvidia has leveraged its increasing fortunes to bolster investments in AI startups.</p>

  <p class="wp-block-paragraph">In 2025, Nvidia has already engaged in 50 venture capital deals, surpassing the 48 completed in all of 2024, according to PitchBook data. Notably, these figures do not include investments made through its corporate VC fund, NVentures, which has also accelerated its investment pace significantly during this period.</p>

  <p class="wp-block-paragraph">Nvidia aims to enrich the AI landscape by investing in startups that are viewed as “game changers and market makers.”</p>

  <p class="wp-block-paragraph">The following list showcases startups that have raised over $100 million since 2023 with Nvidia as an investor, arranged from the highest to lowest funding amounts.</p>

  <h3>The Billion-Dollar Funding Contenders</h3>

  <p class="wp-block-paragraph"><strong>OpenAI:</strong> Nvidia made its first investment in ChatGPT’s creator in October 2024, contributing a $100 million stake in a monumental $6.6 billion funding round, valuing the company at $157 billion. Although Nvidia did not take part in OpenAI’s March $40 billion funding round, it later declared plans to invest up to $100 billion over time to foster a strategic partnership aimed at deploying robust AI infrastructure.</p>

  <p class="wp-block-paragraph"><strong>xAI:</strong> In December 2024, despite OpenAI’s advice against investing in competitors, Nvidia joined in on xAI's $6 billion funding round led by Elon Musk. It also plans to invest up to $2 billion in xAI’s anticipated $20 billion funding effort.</p>

  <p class="wp-block-paragraph"><strong>Mistral AI:</strong> Nvidia increased its investment in this French language model developer with a €1.7 billion ($2 billion) Series C round in September, at a remarkable post-money valuation of €11.7 billion ($13.5 billion).</p>

  <p class="wp-block-paragraph"><strong>Reflection AI:</strong> Nvidia spearheaded a $2 billion funding round in October for Reflection AI, a startup aimed at competing with Chinese firms by offering cost-effective open-source models.</p>

  <p class="wp-block-paragraph"><strong>Thinking Machines Lab:</strong> Backed by Nvidia among others, Mira Murati’s startup raised a $2 billion seed round, achieving a $12 billion valuation.</p>

  <p class="wp-block-paragraph"><strong>Inflection:</strong> Nvidia was a key investor in Inflection’s $1.3 billion round in June 2023. However, Microsoft acquired its founders less than a year later, shaping a complex future for the company.</p>

  <p class="wp-block-paragraph"><strong>Nscale:</strong> After raising $1.1 billion in September, Nvidia further supported Nscale with a $433 million SAFE funding in October, enabling the startup to build data centers for OpenAI’s Stargate project.</p>

  <p class="wp-block-paragraph"><strong>Wayve:</strong> Nvidia participated in a $1.05 billion funding round in May 2024 for this U.K. startup dedicated to self-learning autonomous systems, with additional investment slated.</p>

  <p class="wp-block-paragraph"><strong>Figure AI:</strong> In September, Nvidia took part in a Series C funding round valuing the humanoid robotics company at $39 billion.</p>

  <h3>The Hundreds of Millions Club</h3>

  <p class="wp-block-paragraph"><strong>Commonwealth Fusion:</strong> Nvidia contributed to an $863 million funding round in August 2025 for this nuclear fusion-energy startup alongside notable investors like Google.</p>

  <p class="wp-block-paragraph"><strong>Crusoe:</strong> Engaging in a $686 million funding round in November 2024, this startup focuses on building data centers with various big-name collaborators including Nvidia.</p>

  <p class="wp-block-paragraph"><strong>Cohere:</strong> Nvidia features prominently in multiple funding rounds for this enterprise AI model provider, including a recent $500 million Series D round.</p>

  <p class="wp-block-paragraph"><strong>Perplexity:</strong> Nvidia also backed this AI search engine through various rounds, including a $500 million round, keeping its momentum intact as the company’s valuation surged.</p>

  <h3>Significant Fundraising Deals</h3>

  <p class="wp-block-paragraph"><strong>Ayar Labs:</strong> Nvidia invested in a $155 million funding round for Ayar Labs, which focuses on developing optical interconnects for enhanced AI compute efficiency.</p>

  <p class="wp-block-paragraph"><strong>Kore.ai:</strong> This enterprise AI chatbot developer raised $150 million in December 2023, with Nvidia among the participating investors.</p>

  <p class="wp-block-paragraph"><strong>Sandbox AQ:</strong> In April, Nvidia backed Sandbox AQ in a $150 million round, which expanded the company’s valuation to $5.75 billion.</p>

  <p class="wp-block-paragraph"><strong>Hippocratic AI:</strong> This healthcare-focused AI startup successfully raised $141 million in January, marking Nvidia’s commitment to healthcare innovations.</p>

  <p class="wp-block-paragraph"><strong>Weka:</strong> In May 2024, Nvidia supported a $140 million funding round for Weka, emphasizing growth in AI-native data management.</p>

  <p class="wp-block-paragraph"><strong>Runway:</strong> Nvidia participated in Runway’s $308 million round, further solidifying its investment in generative AI technologies for media.</p>

  <p class="wp-block-paragraph"><em>This article was originally published in January 2025.</em></p>
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Here are five FAQs related to Nvidia’s investment in AI startups:

FAQ 1: What is Nvidia’s role in the AI startup ecosystem?

Answer: Nvidia is a leading player in the AI sector, providing essential hardware and software tools. The company invests in AI startups to foster innovation, support emerging technologies, and expand its ecosystem, leveraging its GPUs and AI frameworks.

FAQ 2: What types of startups does Nvidia typically invest in?

Answer: Nvidia invests in a diverse range of AI startups, including those focused on machine learning, data analytics, autonomous vehicles, healthcare technologies, and creative applications. This variety allows Nvidia to enhance its portfolio and support groundbreaking advancements in AI.

FAQ 3: How does Nvidia’s investment strategy benefit its business?

Answer: By investing in AI startups, Nvidia gains early access to innovative technologies and ideas, which can be integrated into its products. This strategy not only broadens Nvidia’s technological capabilities but also positions it as a key player in shaping the future of AI.

FAQ 4: Are there any notable success stories from Nvidia’s investments in startups?

Answer: Yes, several startups backed by Nvidia have achieved significant success. For instance, companies specializing in AI for healthcare or autonomous driving have leveraged Nvidia’s technology to create groundbreaking solutions, showcasing the potential impact of Nvidia’s strategic investments.

FAQ 5: How can startups approach Nvidia for investment opportunities?

Answer: Startups interested in seeking investment from Nvidia can typically submit their proposals through the company’s venture capital arm or during specific innovation events. It’s essential for startups to demonstrate how their technology aligns with Nvidia’s goals and the AI landscape.

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Manny Medina’s AI Agent Startup, Paid, Secures Impressive $21M Seed Funding for Results-Based Billing

Manny Medina’s New Venture Paid Secures $21.6 Million Seed Round

Manny Medina, the visionary behind the $4.4 billion sales automation platform Outreach, has captivated investors with his latest startup, Paid.

Successful Seed Round Boosts Company’s Valuation

Paid has successfully closed an oversubscribed $21.6 million seed funding round led by Lightspeed. Coupled with a €10 million pre-seed round raised in March, the London-based startup has accumulated a remarkable $33.3 million before even reaching its Series A stage. Sources indicate that Paid’s valuation now exceeds $100 million.

Innovative Approach in the AI Landscape

Emerging from stealth mode in March, Paid presents a unique contribution to the AI ecosystem. Rather than offering agents directly, the company empowers agent developers to charge clients based on the tangible value provided by their algorithms. This concept, often referred to as “results-based billing,” is gaining traction in the AI space.

A Revolutionary Pricing Model for AI

Medina emphasizes that Paid enables agent developers to monetize the margin savings delivered to their clients. This innovative pricing model marks a departure from traditional software fees, moving away from the per-user pricing structures prevalent in the SaaS era.

Why Traditional Payment Models Fall Short

The conventional per-user fees are ineffective as agent developers incur usage costs from both model providers and cloud services. Without a clearer pricing strategy, underlying financial pressures could lead to unsustainable business models, a challenge frequently faced by startups in the coding space.

Measuring Value in a Quiet AI Workforce

Medina notes that “if you’re a quiet agent, you don’t get paid.” Effective infrastructure is crucial for agents to be compensated for their contributions. As agents operate in the background, demonstrating their effectiveness becomes essential for securing their continued engagement.

The Risks of Traditional Billing and Market Hesitation

Adopting a monthly fee for a limited number of credits poses significant risk to agent developers. Many businesses hesitate to invest in AI solutions that yield minimal value. A recent MIT study revealed that approximately 95% of enterprise AI projects fail to produce tangible benefits, with only 5% making it to production.

Driving Engagement with Effective AI Solutions

Businesses are reluctant to pay for agents that generate more emails that often go unread.

Early Adoption and Success Stories

One of Paid’s initial clients is Artisan, a popular sales automation startup. Artisan’s CEO, Jaspar Carmichael-Jack, will be discussing these developments at TechCrunch Disrupt next month.

Paid is also gaining traction among SaaS companies eager to leverage agents for growth, having recently signed ERP vendor IFS as a client.

Lightspeed’s Confidence in Paid’s Vision

Alexander Schmitt from Lightspeed shared that the firm has invested over $2.5 billion in AI infrastructure and application layers over the past three years, observing firsthand the high failure rates of AI pilots. He believes the crux of the issue lies in the inability to attribute value to agents’ contributions.

A Unique Market Positioning with Future Potential

Schmitt perceives Paid as a distinctive player in the market, highlighting its innovative approach as unprecedented in the industry. As Paid’s model gains traction, increased competition in results-based billing for agents could stimulate a significant shift in how AI solutions are utilized.

New investor FUSE, along with existing investor EQT Ventures, also participated in this latest funding round.

Here are five FAQs regarding Manny Medina’s startup, Paid, which uses a results-based billing model and has recently raised $21 million in seed funding:

FAQ 1: What is Paid’s business model?

Answer: Paid operates on a results-based billing model, meaning clients only pay for tangible outcomes achieved through the services provided. This aligns the company’s incentives with the success of its clients, creating a win-win scenario.

FAQ 2: Who is the founder of Paid and what is their background?

Answer: Paid was founded by Manny Medina, an entrepreneur with a proven track record in the tech industry. Prior to launching Paid, Medina was involved in several successful startups and has expertise in leveraging AI for business solutions.

FAQ 3: How much funding has Paid recently raised?

Answer: Paid has successfully raised $21 million in seed funding, which will be used to enhance its technology, expand its team, and further develop its results-based services.

FAQ 4: What industries can benefit from Paid’s services?

Answer: Paid’s results-based billing approach can benefit various industries, particularly those that rely heavily on measurable outcomes, such as marketing, sales, and customer service. Its services can be tailored to meet the specific needs of different sectors.

FAQ 5: How does Paid ensure the quality of its results?

Answer: Paid employs robust analytical tools and AI technologies to track performance and outcomes effectively. By focusing on data-driven results, the company ensures it delivers value to clients while maintaining accountability for the services rendered.

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Sources: AI Training Startup Mercor Aims for $10B+ Valuation with $450 Million Revenue Run Rate

Mercor Eyes $10 Billion Valuation in Upcoming Series C Funding Round

Mercor, a pioneering startup facilitating connections between companies like OpenAI and Meta with domain professionals for AI model training, is reportedly in talks with investors for a Series C funding round, according to sources familiar with the negotiations and a marketing document obtained by TechCrunch.

Felicis Considers Increasing Investment

Felicis, a previous investor, is contemplating a deeper investment for the Series C round. However, Felicis has chosen not to comment on the matter.

Targeting a $10 Billion Valuation

Mercor is eyeing a valuation exceeding $10 billion, up from an earlier target of $8 billion discussed just months prior. Final deal terms may still fluctuate as negotiations progress.

A Surge of Preemptive Offers

Potential investors have been informed that Mercor has received multiple offer letters, with valuations reaching as high as $10 billion, as previously covered by The Information.

New Investors on Board

Reports indicate that Mercor has successfully onboarded at least two new investors to assist in raising funds for the impending deal via special purpose vehicles (SPVs).

Previous Funding Success

The company’s last funding round occurred in February, securing $100 million in Series B financing at a valuation of $2 billion, led by Felicis.

Impressive Revenue Growth

Founded in 2022, Mercor is nearing an annualized run-rate revenue (ARR) of $450 million. Earlier this year, the company reported revenues soaring to $75 million, later confirmed by CEO Brendan Foody to reach $100 million in March.

Projected Growth Outpacing Competitors

Mercor is on track to surpass the $500 million ARR milestone quicker than Anysphere, which achieved this goal approximately a year post-launch. Notably, Mercor has already generated $6 million in profit during the first half of the year, contrasting with its competitors.

Revenue Model and Clientele

Mercor’s revenue stream is primarily generated by connecting businesses with specialized experts in various domains—such as scientists and lawyers—charging for their training and consultation services. The startup claims to supply data labeling contractors for leading AI innovators including Amazon, Google, Meta, Microsoft, OpenAI, Tesla, and Nvidia, with notable income derived from collaborations with OpenAI.

Diversifying with Software Infrastructure

To expand its operational model, Mercor is exploring the implementation of software infrastructure for reinforcement learning (RL), a training approach that enhances decision-making processes in AI models. The company also aims to develop an AI-driven recruiting marketplace.

Facing Competitive Challenges

Mercor’s journey isn’t without competition; firms like Surge AI are also seeking funding to bolster their valuation significantly. Additionally, OpenAI’s newly launched hiring platform poses potential competitive pressures in the realm of human-expert-powered RL training services.

Co-Founder Insights

In response to inquiries, CEO Brendan Foody stated, “We haven’t been trying to raise at all,” and noted that the company regularly declines funding offers. He confirmed that the ARR is indeed above $450 million, clarifying that reported revenues encompass total customer payments before contractor distributions, a common accounting practice in the industry.

Leadership and Growth Strategy

Mercor was co-founded in 2023 by Thiel Fellows and Harvard dropouts Brendan Foody (CEO), Adarsh Hiremath (CTO), and Surya Midha (COO), all in their early twenties. To help drive the company forward, they recently appointed Sundeep Jain, a former chief product officer at Uber, as the first president.

Legal Challenges from Scale AI

Mercor is currently facing a lawsuit from rival Scale AI, which accuses the startup of misappropriating trade secrets through a former employee who allegedly took over 100 confidential documents related to Scale’s customer strategies and proprietary information.

Maxwell Zeff contributed reporting

Sure! Here are five frequently asked questions (FAQs) based on the topic of Mercor’s valuation and financial performance:

FAQs

1. What is Mercor’s current valuation?

  • Mercor is targeting a valuation of over $10 billion as it continues to grow in the AI training startup sector.

2. What is Mercor’s current revenue run rate?

  • The company has a revenue run rate of approximately $450 million, indicating strong financial performance and growth potential.

3. What does a $10 billion valuation mean for Mercor?

  • A $10 billion valuation suggests that investors believe in Mercor’s potential for significant future growth and its strong position in the AI training market.

4. How does Mercor plan to achieve its ambitious valuation?

  • Mercor is focusing on scaling its AI training solutions, attracting top talent, and potentially expanding its market reach to enhance its product offerings and customer base.

5. What factors contribute to the high valuation in the AI startup sector?

  • High valuations in the AI sector typically result from rapid advancements in technology, increasing demand for AI solutions across various industries, and investor confidence in the profitability of such innovations.

If you have more specific inquiries or need further information, feel free to ask!

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Why is an Amazon-Backed AI Startup Creating Orson Welles Fan Fiction?

Fable’s Ambitious AI Quest to Recreate Orson Welles’ Lost Footage

On Friday, Fable, a startup dubbed the “Netflix of AI,” unveiled its bold plan to reconstruct the elusive 43 minutes of Orson Welles’ iconic film “The Magnificent Ambersons.”

Why This 1942 Classic Matters to a Modern AI Startup

Why is a company that recently secured funds from Amazon’s Alexa Fund focusing on a film from over 80 years ago? Fable has developed a platform enabling users to create animated content using AI prompts. Although they’re starting with their own intellectual property, Fable aims to expand into Hollywood IP, previously being used to create unauthorized “South Park” episodes.

Unveiling an AI Model for Long-Form Narratives

Now, Fable is rolling out a new AI model designed to weave intricate narratives. Over the next two years, filmmaker Brian Rose—who has dedicated five years to reconstructing Welles’ vision—plans to utilize this technology to remake the lost footage from “The Magnificent Ambersons.”

A Tech Demo Without Film Rights

Remarkably, Fable has yet to secure the rights to the film, rendering this endeavor a prospective tech demo unlikely to reach public viewing.

The Significance of “Ambersons” in Film History

One might wonder, why choose “Ambersons”? Even cinephiles recognize Welles’ second film often stands in the shadow of its more famous predecessor, “Citizen Kane.” While the latter is frequently hailed as the greatest film of all time, “Ambersons” is regarded as a lost masterpiece, marred by studio cuts and an incongruous happy ending.

Casualties of Artistic Vision

This sense of loss is likely what drew Fable and Rose to the project. The film’s current legacy—a reflection of Welles’ talent and the crippling interference he faced in Hollywood—underscores why “The Magnificent Ambersons” is still a topic of discussion today.

The Welles Estate’s Response

However, Fable’s oversight in not contacting Welles’ estate has sparked criticism. David Reeder, who oversees the estate for Welles’ daughter Beatrice, labeled the project an “attempt to generate publicity on the back of Welles’ creative genius,” concluding it will lack the “uniquely innovative thinking” characteristic of Welles.

Estate’s Critique and the Role of AI

Reeder expressed displeasure not solely at the project itself but at the lack of courtesy shown to the estate. While he noted that they have embraced AI technology to create a voice model for brand work, this endeavor appears different.

Artistic Integrity Versus Technological Innovation

While some might argue that consulting Welles’ heirs could legitimize the project, I stand skeptical. My interest in this “Ambersons” is minimal, much like my disinterest in witnessing a digitally recreated Welles marketing modern products.

Past Attempts to Revive Welles’ Work

This isn’t the first effort to posthumously refine or complete Welles’ films, but previous attempts utilized actual footage shot by Welles. Fable’s approach combines AI with traditional filmmaking; contemporary actors may portray original cast characters, digitally altering their faces post-production.

Rose’s Intent to Honor Welles’ Vision

Despite the questionable ethics behind this announcement, Rose seems genuinely committed to honoring Welles’ vision. Rose lamented the loss of a beautiful four-minute tracking shot, of which only 50 seconds remain in the current version.

AI Cannot Replace True Artistic Legacy

While I resonate with his sense of loss, I believe this tragedy is one that AI cannot mend. Regardless of how seamlessly Fable and Rose manage to recreate a scene, it will undeniably be their interpretation, not Welles’. The essence of Welles’ “The Magnificent Ambersons,” destroyed by RKO over 80 years ago, remains lost without a miraculous rediscovery of footage.

Sure! Here are five FAQs with answers regarding the Amazon-backed AI startup and its creation of Orson Welles fan fiction:

FAQ 1: Why is an Amazon-backed AI startup creating Orson Welles fan fiction?

Answer: The startup aims to explore the intersection of AI and creative writing by leveraging Welles’ unique storytelling style. The project illustrates how AI can generate compelling narratives inspired by classic figures, breathing new life into historical contexts while engaging contemporary audiences.

FAQ 2: What technology is the startup using for this project?

Answer: The startup utilizes advanced natural language processing and machine learning algorithms to analyze Welles’ works. This allows the AI to mimic his writing style and themes, crafting original stories that pay homage to his creative legacy.

FAQ 3: How is the fan fiction being distributed or presented?

Answer: The generated fan fiction is likely published online through various digital platforms, including the startup’s website and potentially through Amazon’s e-book services, allowing easy access for fans and readers.

FAQ 4: What are the potential implications of AI-generated literature?

Answer: AI-generated literature raises questions about authorship, creativity, and the future of storytelling. It can democratize content creation, allowing more voices to be heard, while also sparking discussions about the role of traditional writers and the authenticity of AI-generated works.

FAQ 5: Can readers interact with or influence the AI’s storytelling process?

Answer: Some interactive features may allow readers to provide input or suggestions, leading to personalized narratives. This approach would enhance engagement and make the storytelling experience more dynamic, inviting readers to participate in the creative process.

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Next Round of VC Judges Confirmed for Startup Battlefield 200 at Disrupt 2025

Strengthening the Panel: Introducing More Judges for Startup Battlefield 2025

The Startup Battlefield 2025 is set to enhance its judging panel with a fresh wave of powerhouse investors. Following an impressive introduction of our initial wave of venture capitalists, we’re thrilled to unveil more industry leaders who will engage with founders, tackle critical questions, and ultimately help select this year’s champion, who will walk away with a $100,000 prize at TechCrunch Disrupt happening from October 27–29 at Moscone West in San Francisco.

Continuing the legacy of renowned investors from previous years, this new cohort is armed with the insights and expertise capable of shaping a founder’s future in just one Q&A.

Meet the next group of investors ready to challenge and inspire on the Disrupt Stage. Get your ticket now and save over $650! Join us for this electrifying pitch competition live.

TechCrunch Disrupt 2025 Startup Battlefield judges Thomas Krane, Charles Hudson, Nicolas Sauvage, Katie Stanton, Santi Subotovsky

Meet the Latest Judges for Startup Battlefield 200

Introducing our second wave of five influential VCs who will help determine this year’s Startup Battlefield champion, with additional investors on the horizon. Visit our Disrupt speaker page to familiarize yourself with our judges.

Thomas Krane, Managing Director, Insight Partners

Thomas Krane, a managing director at Insight Partners, has been shaping the firm since 2012, focusing on areas such as cybersecurity and application software. His investment portfolio includes successful IPOs like Tenable and JFrog, alongside strategic exits including Recorded Future and Adaptive Shield. A Phi Beta Kappa graduate with a master’s in astrophysics from the University of Pennsylvania, Thomas embodies a powerful blend of intellect and investment savvy.

Charles Hudson, Managing Partner, Precursor Ventures

Charles Hudson is the visionary behind Precursor Ventures, specializing in early-stage investments in innovative software and hardware companies. Known for investing in founders over products, Charles has supported over 400 enterprises and raised more than $250 million across four funds, playing a pivotal role in the success stories of companies like The Athletic and Bobbie Baby.

TechCrunch Disrupt 2022 Charles Hudson
Image Credits: Haje Kamps/TechCrunch

Nicolas Sauvage, President, TDK Ventures

Nicolas Sauvage leads TDK Ventures, managing a $350 million fund aimed at early-stage companies pushing the frontiers of digital and energy innovation. Under his guidance, TDK Ventures has invested in over 45 startups, including several unicorns since its inception in 2019.

Widely recognized in the venture capital community, he has been featured on the GCV Powerlist for six consecutive years, ranking No. 17 among the top 150 heads of corporate venture capital and is a proud Kauffman Fellows program inductee.

Katie Stanton, Founder and General Partner, Moxxie Ventures

Katie Stanton founded Moxxie Ventures, specializing in supporting early-stage ventures. With extensive experience at top tech companies including Google and Twitter, she also held roles in the Obama administration. As a founding partner of #Angels, Katie has invested in over 100 startups, including industry leaders like Airtable and Calm.

Santi Subotovsky, General Partner, Emergence Capital

Santi Subotovsky drives innovation at Emergence Capital, leading landmark investments in companies like Zoom. He is not just a key player in venture capital but also contributes actively to several boards and initiatives aimed at nurturing startups across various landscapes.

Disrupt: The Launchpad for Lasting Tech Innovations

Prepare for an unparalleled global pitch-off this October 27-29 as TechCrunch Disrupt 2025 unites over 10,000 startup and VC leaders at San Francisco’s Moscone West. While the startup landscape continuously evolves, Disrupt remains the premier venue where inventive founders introduce groundbreaking innovation. Participate in engaging sessions, forge strategic partnerships, and experience the excitement of the live Startup Battlefield. Grab your ticket today before prices increase!

Here are five FAQs regarding the VC judges for Startup Battlefield 200 at Disrupt 2025:

FAQ 1: Who are the confirmed VC judges for Startup Battlefield 200 at Disrupt 2025?

Answer: The confirmed VC judges include leading investors from top venture capital firms. A detailed list of their names and affiliations will be released soon on the Disrupt website.

FAQ 2: What criteria do the VC judges use to evaluate startups in Startup Battlefield 200?

Answer: Judges evaluate startups based on several criteria, including innovation, market potential, business model viability, team expertise, and traction. They are looking for compelling pitches that highlight these aspects.

FAQ 3: How can startups apply to participate in Startup Battlefield 200?

Answer: Startups can apply through the official Disrupt website. The application process typically involves submitting an online form detailing the business concept, team background, and market strategy.

FAQ 4: Will the VC judges provide feedback to the participating startups?

Answer: Yes, VC judges often provide valuable feedback during and after the pitch sessions. This feedback can be crucial for startups to refine their business models and strategies.

FAQ 5: Is there an opportunity for networking with the VC judges at Disrupt 2025?

Answer: Absolutely! Disrupt 2025 will host various networking events where startups can connect with VC judges and other industry leaders, promoting relationships that may lead to future investment opportunities.

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