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Deepcon

Integrates docs, code, web, and deep research to deliver token-optimized, accurate context for coding agents.

deepcon.aiAINov 2025

A context retrieval tool that integrates documentation, code, web, and deep research to provide coding agents with accurate, token-optimized context. It solves the problem of agents working with incomplete or stale information by delivering precise, up-to-date context quickly. The product targets developers and engineering teams using AI coding agents like Claude Code, Codex, and Cursor, typically in mid-market to enterprise settings. It is positioned as a high-accuracy, token-efficient alternative to traditional deep research methods, with a benchmark showing 90% accuracy and low token usage.

Key features

  • Search 10,000+ official docs
  • Query decomposition for precise retrieval
  • Real-time sync with latest docs
  • Token-optimized delivery
  • Multi-source intelligence (docs, web, code)
  • Deep research integration
  • Benchmark-verified 90% accuracy
  • Supports Claude Code, Codex, Cursor
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GTM channels
  • API
  • Docs
ICP
  • Software developers
  • Engineering teams
  • Enterprises