Watt unifies the behavioral graph into a single traversable data model. Your agents don't join tables — they navigate a reasoning graph designed for non-deterministic queries at petabyte scale.
Data domains
Watt's graph covers signal categories spanning intent, purchase, lifestyle, financial, demographic, employment, political, content, household, affinity, and more — for people, and tech stack, hiring signals, industry, and others for businesses. They're not separate silos. They're intermingled in a single traversable graph.
Name, age, household composition, education, interests, and 12,000+ demographic signals unified across sources. Part of Watt's unified signal graph.
Firmographic data, org charts, funding history, technology stack, and headcount signals for 300M+ companies. Part of Watt's unified signal graph.
Browsing intent, keyword affinity, and research patterns to surface in-market signals in real time. Part of Watt's unified signal graph.
Purchase behavior, spend patterns, category affinities, and wallet-share estimates across retail and digital. Part of Watt's unified signal graph.
Signal categories evolve as new data is onboarded. Use Watt Chat to discover what's available for your use case.
Entity Roadmap
DMV data already acquired. Household and location entities next.
Benchmarks
The graph
Trillions of behavioral and intent signals, tied to verified identities. Built to trigger action across your GTM stack.
Architecture
Watt's data architecture has two layers.
The base graph — a heterogeneous information network — stores nodes (people, businesses, emails, mobile IDs) connected by edges that represent relationships. Unlike a table, it captures how things relate, not just what they are.
The reasoning graph sits above it. Every day, Watt calculates five types of relationships across the entire base graph: top predictors, top discriminators, top co-occurring, top exclusionary, and top absentee. The result: 16 trillion pre-computed relationship outcomes, recalculated daily.
This is what makes sub-second petabyte-scale queries possible. Your agent doesn't traverse raw data — it traverses a pre-computed map of how everything in the graph relates to everything else.
All data describes not itself — it describes how it relates to everything else in the world.
Differentiators
Data isn't stored in flat tables — it lives in a traversable graph. Agents navigate relationships between identities, companies, and signals without upfront schema knowledge. The graph adapts to the query.
A production-hardened Model Context Protocol layer with rate limiting, audit logging, and role-based access. Drop Watt into any agent framework with a single config line — no custom glue code required.
Ship Watt under your own brand. Custom domains, your API surface, your documentation. Customers interact entirely with your product — Watt powers it invisibly from below.
Provenance
Watt was founded by the engineers behind petabyte-scale reasoning systems at some of the world's most demanding institutions. The same non-deterministic reasoning challenges that make LLMs hard are the ones we've been solving for fifteen years.
Data for any agent
Enrich every inbound lead with 50,000 data points the moment they hit your CRM. Know funding stage, tech stack, org size, and buying signals before the first touchpoint.
Personalize outreach at scale using real behavioral data — search intent, content affinity, recent company events — not just job title and company name.
Keep your CRM clean and current automatically. Watt continuously refreshes contact and account data, flags stale records, and surfaces high-intent accounts in your pipeline.
Power autonomous outbound agents with the richest identity data available. Your AI SDR qualifies, personalizes, and prioritizes across millions of prospects — without hallucinating company details.
Give reps and agents the full picture on every account — org charts, decision-maker signals, competitive tech stack, and deal risk indicators — surfaced at the moment it matters.
Data minimization and purpose limitation baked in at the architecture level.
Dedicated legal team specializing in data privacy, CCPA, and GDPR compliance.
Clear acceptable use policies with enterprise MSA available on request.
We'll map your agent architecture and show you what's possible with 120,000+ signals per person.
