| What it does | Semantic context layer that helps AI agents understand your business data accurately
| The AI backend that gets better with every run
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| Stage | MVP
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Not given
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| Pricing | Not given
| Free: 500 credits/month, one workspace. Team: $49/month, 3,000 to 80,000 credits/month (fee scales with credits chosen). Enterprise: Custom pricing with volume-discounted usage, customer workspaces via API, pooled credits with spend limits per customer.
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| Key features | - 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
| - Agent delivery via app, Slack, Claude, ChatGPT or events
- Automatic agent versioning from underperforming runs
- Stack review and consulting services
- Organization API with webhooks and delivery history
- SSO and SAML on Enterprise plan
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| What makes it different | - 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
| - Outcome-driven improvement: runs are scored against your goals and underperforming versions automatically improve
- Hands-on engineering: optional stack reviews and agent builds for customers who want expert implementation
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 9 ▲ +1 (up) since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 1 | 0 |
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| Citation Flow (Majestic) | 24 | 0 |
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| Referring domains (Majestic) | 29 | 0 |
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Kanlet
Levain Labs