🪴 Brain

Clay

2 min read

Clay

A go-to-market data platform with a spreadsheet-like UI sitting on top of 100+ enrichment providers. You drop in a list of people/companies and Clay waterfalls across data sources to fill in emails, firmographics, signals, and social profiles — then uses AI to research and personalize outreach. It’s the modern “enrichment + prospecting” layer that replaces stitching together a dozen separate data APIs by hand.

Description

  • Waterfall enrichment — try multiple providers in sequence to maximize fill rate (email, phone, firmographics).
  • 100+ integrations — one interface over many data vendors and tools.
  • AI research/personalization — Claygent agent researches accounts and writes tailored copy.
  • Signals — job changes, funding, hiring, tech-stack triggers.
  • Spreadsheet UX + API — tables and automations; usable as a data backend.

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Reasoning for

Clay is planned for the Jakub Głąb Agent System — the enrichment layer for building contact/company context behind the agent’s research and outreach skills. It fits because the agent already operates over a structured entity-wiki; Clay’s waterfall enrichment is a natural upstream source to populate and refresh those entities with verified contact and firmographic data. It sits alongside scraping-based approaches (Bright Data, Firecrawl) and pure-API enrichment (People Data Labs): Clay is the orchestration layer that can combine many of those sources with AI on top, rather than a single data vendor.

Alternatives considered

  • People Data Labs — raw person/company enrichment API; Clay can sit on top of PDL and others rather than replace them.
  • Bright Data — scraping/datasets at scale; Clay is enrichment-orchestration + outreach, not raw scraping infra.
  • Apollo.io / Instantly — bundled B2B database + sequencing; Clay is more flexible/composable across sources.
  • Manual API stitching — full control, far more maintenance; Clay’s value is collapsing that into one interface.

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