Security platform for governing and protecting enterprise AI agents
Semantic context layer that helps AI agents understand your business data accurately
Stage
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MVP
Founded
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Based in
ES
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Pricing model
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Pricing
Free plan: $0/month with 100,000 requests/month. Standard plan: $49/month with $49 usage credit included and $0.0003 per request beyond included credit. Enterprise plan: Custom pricing with committed volume and discounts. Additional features priced separately: Smart routing at $0.0002 per execution,
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Key features
Agent Posture Management
AI Red Teaming
Prompt injection protection
Multi-turn injection protection
PII & secret detection
<100 ms latency real-time enforcement
On-premise, SaaS, or hybrid deployment
Split-plane architecture for data sovereignty
Connects to 15+ data systems including Snowflake, Databricks, BigQuery, Redshift, dbt, Airflow, Tableau, Looker, Power BI and Postgres
Extracts structural metadata including databases, schemas, tables, views, columns and relationship lineage
Provides Web-UI, MCP server and REST APIs for accessing semantic context
Automatic incremental updates with configurable sync schedules from on-demand to daily or weekly
Role-level access controls and data classifications including PII, PHI and SPII
Only reads metadata without accessing or moving actual data from systems
Integrates with quality monitoring tools including Monte Carlo, Anomalo and Bigeye
What makes it different
Handles 20K+ requests per second per node with linear scaling
Unified policy enforcement across homegrown, third-party SaaS, and endpoint deployments without custom integration work
Eliminates confident AI mistakes by grounding agents in semantic context instead of having them guess from table names
Reduces AI token costs and speeds up answers by resolving schema and joins once upstream instead of in each agent query
Ensures consistent answers across all agents and teams using the same definitions and business logic
Provides complete traceability and auditability of AI decisions with documented context and ownership