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
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Pricing model
Paid
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Pricing
Ember at €18/month for 2 Profiles and 250 asks per day, or Campfire at €52/month for 8 Profiles and 800 asks per day. 7-day trial available; card required at checkout.
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Key features
Organize documents into projects and folders
Control agent access with Profiles
Return exact passages with citations
Evidence support scoring
Agent notes and discoveries
Support for PDF, Word and Markdown documents
Task assignment and workflow
Export in Open Knowledge Format
CLI and API access
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
Returns exact passages from documents instead of generating answers
Provides evidence support scores with each result
Flexible document access control per agent
Export your knowledge base and documents
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
Takibi Base
Kanlet