Former Humane Executives Launch AI Startup Infactory with $25M Valuation
Two former executives from the AI hardware company Humane are making headlines again, this time for launching a new venture focused on artificial intelligence software. Brooke Hartley Moy, who previously led strategic partnerships at Humane, and Ken Kocienda, former head of product engineering, have teamed up to debut Infactory, a fact-checking AI search engine. After leaving Humane following the lukewarm debut of its AI Pin, Moy and Kocienda raised $4 million in seed funding, which has already pushed their startup's valuation to an impressive $25 million.
Infactory is designed to address the growing need for accuracy and transparency in enterprise-level AI tools. Unlike many generative AI models that have come under fire for producing unreliable or fabricated results, Infactory’s tool focuses on delivering trustworthy, high-quality answers. It can search a company’s internal database and the open web to produce verifiable information, and it’s particularly useful in industries like finance, healthcare, insurance, SaaS, and media, where accuracy is crucial. According to Kocienda, the startup's CTO, Infactory’s AI is built to identify when it doesn’t have enough data to answer a question rather than providing an incorrect or fabricated response—a problem many current AI models struggle with.
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Moy, now CEO of Infactory, explained that while their experience at Humane involved consumer-focused AI products, Infactory’s mission was always aligned more with enterprise needs. The startup's focus on accuracy and explainability makes it well-suited to industries that rely on factual data, such as medical information or financial transactions. For example, in a healthcare setting, Infactory could assist a doctor in verifying potential drug interactions from internal databases, ensuring that the response is both accurate and sourced from reliable information.
The seed funding round was led by Bee Partners and included participation from Andreessen Horowitz, further validating investor interest in Infactory’s approach to AI. Infactory also utilized a special-purpose vehicle (SPV) to secure funding, a model increasingly common in the AI startup ecosystem.
With its alpha version currently being tested, Infactory plans to incorporate feedback from design partners before launching more broadly. Both Moy and Kocienda are clear in their vision: Infactory is built to handle the rigorous demands of enterprise AI, ensuring that businesses receive factually correct and verifiable information. This attention to detail and refusal to rely on the so-called “black box” approach of other large language models sets Infactory apart in an increasingly competitive AI landscape.
As the market for AI chatbots and tools is predicted to reach over $1 trillion within the next decade, Infactory is positioning itself as a key player focused on delivering trustworthy AI solutions. This focus on high standards for accuracy and transparency could make it a game-changer in enterprise AI applications.
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