Watt Data
AI-native data enrichment for sales intelligence
Founded
2020
Starting Price
Custom
Category
Sales Intelligence
Last updated February 10, 2026
About Watt Data
Watt Data is an AI-native data enrichment platform that gives sales and marketing teams access to 250M+ consumer identities and 60M+ business identities with real-time intent signals. Built with MCP integration for AI agents, it surfaces behavioral and intent data to help teams target the right person at the right time.
Pros & Cons
Pros
- Massive data scale with 250M+ consumer and 60M+ business identities
- AI-native architecture with MCP integration for direct AI agent access
- Real-time intent signals unlike static databases — live behavioral data
- Natural language queries eliminate need for SQL or complex filtering
- Combines identity, behavior, and intent signals in one platform
Key Features
Semantic Search
Process natural language queries to build dynamic audiences based on intents and behaviors — no SQL required
Intelligent Enrichment
Surface behavioral and intent signals for individuals using 50K+ daily intent signals per identity
ICP & Persona Analysis
Auto-analyze customer lists to perform advanced Ideal Customer Profile and persona analysis
Audience Generation
Create audiences using intent signals, ICP lookalikes, geo-filters, and various identifiers
MCP Integration
Model Context Protocol interface lets AI agents and LLMs (GPT, Claude) query data directly
Real-Time Intent Signals
Track purchases, content downloads, event attendance, and competitive moves as they happen
AI-Ready Data Pipeline
1.4 trillion AI-consumable data points designed to plug directly into AI workflows and sales automation
Pricing
Custom
Custom
- 250M+ verified consumer identities
- 60M+ verified business identities
- Real-time intent signals
- Semantic search API
- MCP integration for AI agents
Best For
AI-Powered Lead Scoring
Feed real-time intent signals into AI agents to automatically score and prioritize leads based on buying behavior
Sales Intelligence Enrichment
Enrich CRM records with external behavioral data like competitive research, content consumption, and event attendance
Dynamic Audience Building
Build targeted prospect lists using natural language queries instead of complex database filters
AI SDR Workflows
Power AI sales development reps with real-time data on who to target and why, routing only sales-ready prospects to humans
