Can AI Finally Be Trusted? Ex-Humane Leaders Launch $25 Million Valuation Venture to Fix the Problem!

We recognized a critical gap in the market for a product that could deliver that level of accuracy.

As organizations increasingly rely on AI for critical decision-making, the pervasive issue of inaccuracies in AI-generated information has become a significant concern. Addressing this challenge head-on, former Humane executives Brooke Hartley Moy and Ken Kocienda have launched Infactory, an AI fact-checking venture that recently raised $4 million at a $25 million valuation.

Infactory is designed to provide a trustworthy solution for enterprises by offering an AI search engine that can accurately query both internal databases and the open web. This focus on transparency and reliability aims to alleviate the common frustrations faced by businesses let down by existing AI solutions. “Many industries, including finance, healthcare, and media, require high-quality, precise answers derived from their data,” explained Hartley Moy, now the CEO of Infactory. “We recognized a critical gap in the market for a product that could deliver that level of accuracy.”

Hartley Moy and Kocienda, who were key players at Humane before their departure in May, recognized the limitations of consumer-focused AI products. Their experiences highlighted the need for solutions tailored specifically to enterprise needs. “Building this kind of product was never going to be a fit at a consumer hardware company,” Hartley Moy noted.

Infactory’s approach involves using advanced AI technologies to help businesses obtain accurate information quickly. For instance, a doctor could use Infactory to verify potential drug interactions by querying internal patient data, receiving reliable answers with sourced citations. Kocienda emphasized the importance of this feature, stating, “That answer has to be right, and that information exists in the data that this company has built up.”

The company’s seed round was led by Bee Partners with participation from Andreessen Horowitz and other investors. While most of the funding came from institutional investors, Hartley Moy confirmed that Infactory also utilized a small special-purpose vehicle (SPV), a funding type commonly used by AI companies.

Currently in its alpha phase, Infactory is collaborating with design partners to refine its product before a broader launch later this year. The startup’s innovative data preparation methods enhance AI’s ability to analyze enterprise data, ensuring accurate responses rather than speculative guesses. “There are many businesses that are not part of AI-native companies who want to be participating in this ecosystem,” Hartley Moy said.

With many existing AI chatbots falling short on reliability, Infactory’s founders are committed to creating a solution that prioritizes transparency. “At no moment is there a black box where a question goes into an LLM and an answer comes out without understanding its source,” Kocienda said.

As the demand for trustworthy AI solutions grows, Infactory is well-positioned to fill the void, catering to organizations eager for reliable tools that can enhance their operations in an increasingly data-driven world. The market for AI-powered solutions is projected to exceed $1 trillion in revenue over the next decade, underscoring the importance of this timely and critical initiative.

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Picture of Anshika Mathews
Anshika Mathews
Anshika is the Senior Content Strategist for AIM Research. She holds a keen interest in technology and related policy-making and its impact on society. She can be reached at anshika.mathews@aimresearch.co
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