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
Freemium
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Pricing
Free: recording, notes, transcripts, speaker names and search on unlimited calls, plus live guidance and write-ups on 2 calls a week. Pro: $15 a month or $144 a year ($12 a month), includes live guidance and write-ups on every call, research briefs, and answers when you ask mid-call. New accounts ge
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Key features
Records calls without joining as a bot
On-device transcription in English and 24 European languages
Hidden from screen sharing on Mac and Windows
Automatic summaries and follow-up emails
Connect Claude or ChatGPT to read your meetings
Quick notes timed to the second during calls
Research briefs on who you're meeting
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
Records without a bot joining the call
Audio transcribed and stays on your computer
Live guidance appears under your camera to maintain eye contact
Note-taking is free with no meeting limits
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
Aside
Kanlet