About

We're making the world's data usable by AI and monetizable by everyone.

Data is the most valuable resource on earth. Most of it is unusable by the systems that need it most. We're fixing that — building the infrastructure layer that lets AI agents reason on the world's private structured data at petabyte scale.

The Founding Insight

Built by people who solved this problem before.

Watt was founded by the engineers behind petabyte-scale reasoning systems at some of the world's most demanding institutions. Our CTO spent 15 years building data infrastructure for systematic trading — designing the same kind of non-deterministic reasoning systems that make LLMs so powerful, and so hard to build on top of.

The founding insight was simple: AI agents don't work like humans. They don't read a contact record and make a judgment call. They traverse graphs of interconnected signals. Legacy data tools were never built for that. We built something that was.

We unified 25,000+ upstream data sources across our broker network into a single traversable data model. Not aggregated fields — raw signals. The result is a data layer that AI agents can actually reason on, in milliseconds, at any scale.

Watt doesn't have data others don't have. What's different is how it's represented. Legacy tools compressed raw signals into ~300 pre-aggregated fields, filtered before you ever see them, designed for human analysts. Watt took the same underlying data and made it traversable by an AI agent — exposing 81,000+ signals per person instead of 300. One competitor spent $500K and six months trying to replicate the joining layer. They became a Watt customer instead.

250M+

Verified people

60M+

Businesses covered

81,000+

Total signals in graph

65B

Graph nodes

16T

Pre-computed relationships