Explorium

What is Explorium?

Explorium is a B2B data platform built to serve as the data backbone for go-to-market (GTM) agents and strategies. It aggregates data from 100+ sources into a unified API, covering 146M+ business entities, 767M+ professional profiles, 90M+ geospatial datapoints, and 4,000+ data signals. Built with agentic workflows in mind, Explorium supports natural language queries, real-time event tracking, and customized signal creation — enabling both human teams and autonomous agents to make faster, more accurate business decisions.

Key Features

• Massive B2B Data Coverage

  Access 146M+ business entities and 767M+ professional profiles aggregated from 100+ trusted public and premium data sources, continuously refreshed for accuracy.

• AgentSource® API

  A structured API built specifically for agentic workflows, with clean IDs, smart error handling, MCP and SSE support — minimizing integration friction and accelerating agent development.

• Business & Prospect Enrichment

  Retrieve firmographic, technographic, financial, and operational data on companies, and enrich lead records with contact details, social presence, and professional history.

• Real-Time Event Tracking

  Monitor live business signals such as job changes, funding rounds, and tech stack shifts to surface timely outreach triggers and market opportunities.

• Natural Language Data Queries

  Agents can query business data using plain language, reducing the need for complex query logic and making data access more intuitive within automated pipelines.

• Customized Signal Creation

  Generate tailored data signals aligned to specific ICP criteria, enabling precise targeting, fit scoring, and personalized outreach at scale.

Use Cases

• GTM Agent Development : Engineering and product teams embed Explorium's API to build context-aware AI SDR agents that autonomously identify, research, and engage prospects.
• Sales Prospecting & Outreach : Sales teams use Explorium to discover target accounts, enrich lead records, and craft personalized messages based on real-time company and contact intelligence.
• Lead Scoring & ICP Fit : Revenue operations teams build scoring models using firmographic and behavioral signals to prioritize the accounts most likely to convert.
• Competitive & Market Intelligence : Analysts compare tech stacks, track funding events, and monitor hiring patterns to understand competitive positioning and market shifts.
• Data Enrichment for Analytics : Data science teams supplement internal datasets with external signals from Explorium to improve model accuracy and drive better predictive outcomes.

FAQs