| What it does | Shared memory for regulated companies and their AI agents
| The continual learning engine for AI agents
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| Stage | Not given
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| Founded | Not given
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| Based in | US
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| Pricing model | Freemium
| Freemium
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| Pricing | Team plan: $10/person/month with 14-day free trial, includes meeting recording, email and calendar enrichment, knowledge organized by topic, private scopes and projects, agent keys with custom permissions, import existing brain, and MCP for all agents. Enterprise plan: custom pricing for regulated a
| RELAI Free: $0. RELAI Enterprise: Custom pricing.
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| Key features | - Records and transcribes meetings with visible participant
- Automatically extracts facts from email and calendar
- Scoped access control with automatic sorting
- Private projects limited to members
- Agent API keys with read-only or read-write permissions
- Works with Claude, ChatGPT, Cursor, Codex over MCP
- Import existing brain from markdown, Obsidian, or GBrain
- Facts organized by topic with full history
- Raw email stays private to owner, team sees extracted facts only
- 180 days of email history imported on day one
| - 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
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| What makes it different | - Every fact is scoped automatically by sensitivity level and agents see only what their teammate can access
- Agents can write back to the same brain over MCP, updating shared knowledge in real time
- CASA Tier 2 security assessed and verified by Google for Gmail and Calendar access
- Onboard entire team in under 5 minutes with one-click Google sign-in
- Data never used to train AI models, privacy verified in policy
| - 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
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 2 ▼ −1 (down) since last check | 23 ● no change since last check |
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| Trust Flow (Majestic) | 9 | 13 |
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| Citation Flow (Majestic) | 26 | 25 |
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| Referring domains (Majestic) | 32 | 79 |
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Nysa
RELAI