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Brainpot AI vs RELAI

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Brainpot AI compared with RELAI
Detail Brainpot AIRELAI logo RELAI
What it doesShared memory for your team's AI tools The continual learning engine for AI agents
StageNot given Not given
FoundedNot given Not given
Based inSE Not given
Pricing modelFreemium Freemium
PricingFree: up to 10 team members, 1 page, 50 facts. Small Teams: €9/month (4 team members included, +€3 per extra), 200 pages, 5,000 facts. Large Teams: €49/month (20 team members included, +€2 per extra), unlimited pages, 50,000 facts. Yearly billing available at €90/year and €490/year. RELAI Free: $0. RELAI Enterprise: Custom pricing.
Key features
  • Shared fact management across team AI tools
  • Granular read and write permissions per page
  • Export as Markdown or JSON
  • Per-workspace encryption
  • Works with Claude, ChatGPT, Cursor, Copilot and MCP-compatible tools
  • No installation required, connector-based setup
  • API support for automated exports
  • Sealed pages unreadable even to Brainpot staff
  • Capture signals from code, requirements, and production traces
  • Build and maintain EvalsWiki as versioned behavioral knowledge
  • Find missing eval coverage and unclear expectations
  • Generate complete evals with scenarios, environments, and evaluators
  • Optimize harness across prompts, tools, workflows, and code
  • Multi-objective optimization for quality, cost, latency, and KPIs
  • Model selection, migration, and routing with evaluation
  • Regression-controlled improvement with evaluation evidence
  • Versioned storage in repository with pull requests
What makes it different
  • No token costs; Brainpot runs no AI and integrates with existing tools
  • Full data control with 90-day grace period after cancellation
  • Company cannot read customer content by design
  • Never trains AI on customer data or shares it
  • Works with any AI tool that supports MCP protocol
  • Turns failures into replayable learning environments
  • Prevents regressions by keeping previous evals in the loop
  • Integrates with existing observability stacks and traces
  • Preserves business intelligence versioned in repository
  • Adapts harness to model changes without redefining use cases
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)Not checked yet no change since last check23 no change since last check
Trust Flow (Majestic)013
Citation Flow (Majestic)025
Referring domains (Majestic)179

5 details filled in for both companies.

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