Ideas beneath
the surface

AI has the potential to be transformative in driving efficiency and growth for businesses of all shapes and sizes. The two most significant hurdles to enterprise AI adoption are trust and expense. Solving these two issues will be critical to moving AI from “the lab” to the real world.

That’s why we’re investing in CTGT via Deepwater Venture Fund II.

CTGT has developed a platform that eliminates AI hallucination, while enabling AI model customization and training that’s far more efficient than current offerings. The company’s solutions allow for rapid enterprise AI deployment and foundational control over AI model behavior.

The near-term problem CTGT addresses is that enterprises are sitting on powerful AI models but can’t deploy them due to hallucinations and unpredictable behavior. A longer-term problem, however, revolves around the notion that the status quo of deep learning involves throwing more compute at models with the expectation that they will achieve true intelligence, which CTGT believes will lead to more complex models that we don’t meaningfully understand.

CTGT takes a fundamentally different approach, focusing on AI explainability, which is a set of processes and methods that help users understand how ML/AI models make decisions. Rather than black-box approximations, CTGT has developed breakthrough technology that understands how neural networks actually learn. This allows the company to automatically detect and eliminate hallucinations, as well as customize, train and deploy models up to 500x faster than the current state of the art solutions, with three nines of model accuracy.

Deepwater invested in CTGT’s recent $7.2M seed round. Co-investors in the round included Gradient Ventures (Google’s early-stage AI fund), General Catalyst, and Y Combinator, as well as angel investors like Paul Graham (Y Combinator co-founder) and Mike Knoop (Zapier co-founder).

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