Comp AI CRM
An agentic CRM for sales teams with AI research agents that automate pipeline management and follow-ups
Recommended for
- Idea-Stage
- Pre-Seed
- Seed
SSIE
Stage Fit Recommendations
Following data shows why Comp AI CRM is recommended for listed teams. The Fit Score represents the percentage fit of Comp AI CRM to each company stages, as calculated by the SSIE.
Stage
Fit Score
Fit Reasons
Idea-Stage
$0
68- Autonomous agents research contacts and companies
- Connect Google and Microsoft mail accounts
Pre-Seed
$0–$10k MRR
77- Evidence-backed facts reach CRM records
- MIT licence permits commercial use
Seed
$10k–$100k MRR
82- Admins review connected tools before agent use
- Agents schedule their own follow-up checks
Description
Comp AI CRM is a customer relationship management platform designed for sales agents. It uses durable research agents to read team inboxes, enrich company and contact data, and create automated workflows. The system keeps every record current without manual input. Agents can research companies, track changes, and book follow-ups autonomously. The product integrates with existing email systems to maintain pipeline visibility. A GitHub repository is available for the open-source codebase.
FAQs
Comp AI CRM runs durable research agents that investigate contacts and companies, enrich records with observed evidence, and schedule follow-up checks. Weaker findings become suggestions for a person to review.
Yes. The agent can work from CRM history, including threads, meetings and signature blocks. External web research and enrichment sources are optional and add further places for the agent to look.
Yes. The project is open source under the MIT licence and its setup guide documents a self-hosted deployment using Bun, Docker and Postgres, with separate app, API and agent services.
No. Its security policy says signed-in users can read and write every record, with no roles or per-record permissions. It is designed for one organisation of authenticated internal users.
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Reviewed by a human. SSIE Fit Scoring.
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