Controlled database access and security layer for AI agents
Agent optimization layer that automatically optimizes agent workloads to extend context windows and reduce costs
Stage
Not given
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Founded
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Based in
ES
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Pricing model
Freemium
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Pricing
Free tier: 30 successful calls per month. Pay Per Use: Managed AI €0.10 per question, BYOK €0.02 per question, Guard €0.01 per check. Enterprise: custom pricing.
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Key features
Routes - define tables and columns agents can query with plain-language guides
Guard - check and approve every INSERT, UPDATE, or DELETE before execution
Read-only database connections with role-based access
REST API, MCP, and A2A protocol support
Support for Postgres, MySQL, MariaDB, and Supabase
Typed multi-question answers in one request
Data Map generation and review
Full query tracing and audit logs
BYOK - Bring your own LLM key from OpenAI, Google, Anthropic, or xAI
Automatically removes redundant and stale context from agent workflows in real time
Reduces token usage by 37–67% across agent workloads
Maintains baseline pass rates and success rates without code changes
Extends context windows for longer-running workflows
Zero code changes required for integration
Continually monitors and learns agent workloads
What makes it different
No data copying - agents query your database where it lives, data never moves
No code needed - set up routes, agents, and Guard rules through the dashboard without YAML or coding
Per-agent access control with clearcut boundaries
Exact rule enforcement with no model-based decisions at check time
Pay-per-success billing - you only pay for successful queries
Reduces agent inference costs by 37–67% while maintaining the same success rates
Works transparently with zero code changes required
Focuses optimization on removing wasted tokens while keeping success rates high
Enables teams to take on more ambitious problems with the same resources
Induction