Spend controls, budgets and approvals for AI agents
The continual learning engine for AI agents
Stage
MVP
Not given
Founded
Not given
Not given
Based in
Not given
Not given
Pricing model
Freemium
Freemium
Pricing
Free plan: $0 during early access with 2 seats and 3 agents. Planned paid plans: Builder at $49/month with 5 seats and 25 agents; Scale at $199/month with 25 seats and 250 agents. Self-hosting is free.
RELAI Free: $0. RELAI Enterprise: Custom pricing.
Key features
Onchain allowances and epoch budgets
Escalation through reporting tree
Session keys with automatic expiration
Constitutional governance with veto windows
Declared flows and human gates
Slack and Telegram supervision
Visual org builder and workspace
Apache-2.0 open source contracts and SDK
Inference budgets for model and API calls
Integration with Coinbase AgentKit and Safe
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
Bounded blast radius: compromised agents can only spend remaining epoch allowance on whitelisted targets
Passkey root stays on user's device; cloud holds only scoped, expiring session keys
Fully self-hostable open protocol with Apache-2.0 licensing
Approval workflows follow real organizational structure, not smart contract code
No token or cryptocurrency knowledge required to use the cloud platform
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
LaCrew
RELAI