Watt unifies 25,000+ data sources 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.
Consumer Identity
Name, age, household composition, education, interests, and 12,000+ demographic signals unified across sources. Part of Watt's unified signal graph.
FedEx · USPS · 250M+ verified identities
Business Identity
Firmographic data, org charts, funding history, technology stack, and headcount signals for 300M+ companies. Part of Watt's unified signal graph.
Firmographics · transactions · 60M+ verified entities
Clickstream + Search
Browsing intent, keyword affinity, and research patterns to surface in-market signals in real time. Part of Watt's unified signal graph.
50B+ daily intent signals
Transaction Data
Purchase behavior, spend patterns, category affinities, and wallet-share estimates across retail and digital. Part of Watt's unified signal graph.
Itemized receipt-level purchase data
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
Coverage
% of US adults with 1,000+ data points
95%
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Density
Median data points per identity
81,000+
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Accuracy
Channel-verified activation rates across email, phone, and MAID
67%
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Freshness
Reasoning graph recalculates daily. 30% of underlying signals refresh daily; all outputs reflect the latest calculation.
<24hr
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Trillions of behavior and intent signals. Tied to verified identities. Built to trigger action across your GTM stack.
0M+
Verified people
0M+
Businesses covered
0+
Total signals in graph
0B
Graph nodes
0T
Pre-computed relationships
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.”
— Mike Audi, Co-founder & CTO
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.
Non-deterministic query planning
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.
SOC 2 Type II in progress
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.
Available on all plans.
The team
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 — the same non-deterministic reasoning challenges that make LLMs hard are the ones he's been solving since 2008.
Mike Audi
Co-founder & CTO
Previously built Tiki — petabyte-scale knowledge graphs for systematic trading funds including Point72 and Citadel. 15 years designing reasoning systems for non-deterministic environments.
Data for any use case
AI Lead Intelligence
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.
AI Sales Engagement
Personalize outreach at scale using real behavioral data — search intent, content affinity, recent company events — not just job title and company name.
AI CRM
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.
AI SDR
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.
AI Sales Enablement
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.
Privacy by design
Data minimization and purpose limitation baked in at the architecture level.
On-staff legal
Dedicated legal team specializing in data privacy, CCPA, and GDPR compliance.
AUP + ToS + Privacy Policy
Clear acceptable use policies with enterprise MSA available on request.
We'll map your agent architecture and show you what's possible with 81,000+ signals per person.