Explee | AI search for companies and people

What

Explee is an AI-first B2B data platform for searching companies and people, with a stated database of 103M+ companies and 536M profiles. It is designed for go-to-market teams that need prospecting data, market segmentation, founder and executive discovery, and signals about company activity.

The product appears positioned as a lower-cost GTM intelligence provider that combines company search, people search, web search, and autonomous deep research agents. Based on the page, its core workflow is to let users define targeting criteria, search across company and person datasets, and retrieve contacts, leadership details, and recent company activity.

Features

• Company search across 103M+ companies — helps teams identify targets using filters such as business type, geography, team structure, and category examples shown on the site.
• People search across 536M profiles — supports prospecting by job title, seniority, industry, and company attributes to find relevant decision-makers.
• Verified email discovery — Explee states <3% email bounce rate and says emails are ZeroBounce verified, which is useful for improving outbound data quality.
• CEO and founder lookup by domain — returns names, LinkedIn profiles, and emails of CEOs, founders, or directors from a company domain.
• Company contacts enrichment — provides phones, emails, physical addresses, and social profiles from a domain input for broader account research.
• Company Pulse monitoring — surfaces recent blog posts, news, social activity, and product updates with an activity score, recent activity date, and confidence indicator.

Helpful Tips

• Validate how often company and people records are refreshed, since the page emphasizes avoiding stale lists but does not detail update frequency.
• Test search relevance on a narrow segment first, especially for lookalike and category-based targeting, to confirm data coverage in your market.
• Compare the deep research agent outputs with your existing enrichment workflow, because the page lists pricing per run but does not fully explain result structure or depth.
• Review the API documentation and compliance FAQ before operational rollout if you plan to embed the data into outbound, CRM, or internal research processes.
• If email accuracy is central to your use case, independently sample bounce rates and match rates against your target geographies and job functions.

OpenClaw Skills

Explee could likely fit well into the OpenClaw ecosystem as a data source for prospecting, account research, and market-mapping workflows. Likely OpenClaw skills could include an ICP discovery agent, a territory-planning agent, a founder-finder skill, or a trigger-based outbound research workflow that pulls company pulse data and converts it into prioritized account lists.

Combined with OpenClaw, this kind of product could help sales, growth, recruiting, and market intelligence teams move from static list building toward continuously refreshed targeting. A likely use case would be an agent that watches for relevant company activity, identifies matching decision-makers, enriches account records, and prepares research briefs for human review; this workflow is a reasonable inference, not a confirmed native integration from the page.