Built For Interviewers, Tech Leads, And Managers

CRM intelligence you can defend in a technical review.

CRMind is an entity-first search and enrichment system. It resolves organizations to canonical records, ranks evidence by relevance, freshness, and trust, and returns structured outputs with citations so decisions can be audited.

Find engineers at Stripe Account brief for Notion Hiring signals at Vercel

Pipeline Score Lens

Semantic relevance86%

Freshness72%

Source trust79%

Authority68%

System Tree

User Query
  -> Entity Resolver
    -> Canonical Company/Person
      -> Retrieval Layer
        -> Vector Search
        -> Keyword Search
      -> Ranker (freshness + trust)
        -> Agent Synthesis
          -> Citation Formatter
            -> Structured JSON Output

Entity Resolution

Every workflow starts by resolving raw text to a canonical company/person to prevent noisy retrieval.

Citation-First Output

Every claim is expected to map back to source evidence. Empty evidence yields explicit degraded responses.

Operational Workflows

Use dedicated pages for search, signals, enrichment, and agent traces with one consistent navigation model.

How to use CRMind in 3 steps

1. Query precisely

Start with an account or person intent: role, company, and signal type.

2. Inspect evidence

Review citations and confidence before acting. Treat degraded as a data gap, not a fact.

3. Operationalize

Save entities, monitor signals, and enrich lead batches for outbound workflows.