Company

The world’s most valuable data is still hard to reach.

Some of the most valuable data in the world lives inside private systems, legacy software, offline archives and real-world operations. Watt exists to make that data usable by AI.

Need dataGet data your models can use →Own dataPut your data to work →

The problem

The data AI needs next wasn’t built for AI.

01Offline archivesPaper records and scanned files

02Legacy systemsDecades-old software with no API

03Operational softwareWork orders, ledgers, field tickets

04Private databasesHeld inside the companies that made them

05Field workflowsDecisions made on site, rarely written down

What Watt does

Watt finds that data, makes it usable, and gets it to the people building with it.

01
Acquire.
Gain access to scarce, private and difficult-to-reach data.
02
Refine.
Turn raw, fragmented information into structured, usable, well-documented data.
03
Deliver.
Provide it in the form the buyer needs.

How we got here

We started by solving this problem at enormous scale.

For years Watt ingested, resolved, maintained and recomputed fragmented behavioral data on the US population. Keeping that much messy data accurate and current every day forced us to build the infrastructure this work depends on.

Raw data

Usable data

What that work built

The Signal Graph
Ingestion infrastructure
Identity and normalization systems
Provenance and metadata systems
Pipelines that turn messy raw data into something usable

Where we point it now

Private operational datasets
Industrial workflows
Offline records
Legacy systems
Proprietary business data

We built the refinery first. Now we are feeding it scarcer data.

What the refinery already runs

US adults: 288M
Signals: 172,000+
Of data: 2 PB
Refresh cadence: Daily

Where we go deepest

We go where the data is hardest to get.

Watt already covers the economy broadly. We go deepest where private, operational and offline data is hardest to reach, and where having it matters most.

Aerial view of well pads and access roads across open desert — Illustrative

Energy
Oil & gas · Mining · Midstream · Power
Manufacturing
Manufacturing · Contract manufacturing · Semiconductors
Construction
Construction · Mechanical & electrical · Project development
Transportation
Logistics · Freight brokerage · Shipping

How we think about data

What we hold to.

01
Scarcity matters
The most valuable data is often the hardest to access.
02
Provenance matters
You should know where data came from, how it was transformed and what rights travel with it.
03
Speed matters
Data creates no value until someone can actually use it.
04
Delivery should be flexible
The same refined data should be able to serve many endpoints and workflows.
05
Trust matters
Private data requires strong governance, security and clear rights.