The problem isn't reasoning. It's data.

Even the best agents fail because they can’t tell what matters or how information across documents, databases, and teams connects. Even advanced agents end up guessing like a smart new hire… and often guessing wrong. Even a trivial task is impossible if you don't know the right metric to look at or understand which version of a document is final.

Some companies have the engineering staff to teach agents about specific data sources, but this process is time-consuming for each newly onboarded agent and only available to the largest, most tech-enabled companies.

This problem hits humans too. Onboarding a new teammate or trying to understand another team’s data is slow and confusing because the information architecture doesn’t exist.

The future we believe in

A data platform designed for both AI and people, for companies of all sizes

In the future, every business large and small will have AI workers that interact with company data as naturally and reliably as humans do.

The winners of the AI era won’t be the ones with the best agents—they’ll be the ones with the best data layer for those agents to operate on.

No-code and accessible

Aware of what matters and how it’s all related

Connected to structured and unstructured sources

A shared knowledge layer that agents and humans can both rely on

Uniting technology and real-world experience

Baylee Feore

Baylee Feore

Co-Founder & CEO

Head of Engineering at Hinge; led 70 engineers across all products. Built three apps listed as Best New App on the App Store.

Sagar Bhatt

Sagar Bhatt

Co-Founder & President

Deployed $4 billion in investor capital over 13 years in the real estate industry across asset classes and geographies.

James Feore

James Feore

Co-Founder & CTO

AI Tech Lead at Microsoft. Governor's appointee to Washington State Technology Services Board. Senior operations manager and Engineer Officer in the US Army.

Next steps

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