| What it does | Manage the verified knowledge, permissions, and proof behind every AI answer.
| Semantic context layer that helps AI agents understand your business data accurately
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| Stage | Not given
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| Pricing model | Freemium
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| Pricing | Starter $29/month (1 workspace, 3 team members, 3 collections, 250 documents, 1 AI Application). Pro $99/month (3 workspaces, 10 team members, 20 collections, 2,500 documents, 5 AI Applications). Team $249/month (10 workspaces, 30 team members, unlimited collections, 15,000 documents, 20 AI Applicat
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| Key features | - Verified knowledge management with ownership, review dates, and source tracking
- Permission-based access control per AI application
- Citation-backed answers and source coverage checks
- Answer testing in Answer Playground
- Hosted documentation publishing with custom domains
- Knowledge Health scoring and monitoring
- Source change detection and monitoring
- Import and governance of existing docs and files
| - 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
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| What makes it different | - Separates verification and permissions from retrieval, deciding what is reviewed and safe before AI uses it
- Enables different AI applications to have different knowledge boundaries from one governed source
- Provides audit trail showing sources, verification, and permissions behind every answer
- Prevents AI hallucinations through source requirements and refusal when knowledge is missing
- Publishes documentation directly from verified sources keeping it aligned with AI knowledge
| - 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
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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) | 26 ▲ +1 (up) since last check | 8 ● no change since last check |
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| Trust Flow (Majestic) | 21 | 1 |
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| Citation Flow (Majestic) | 19 | 24 |
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| Referring domains (Majestic) | 13 | 29 |
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Wiki
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