| What it does | Semantic context layer that helps AI agents understand your business data accurately
| Open-source, self-hostable platform for building and governing AI agents across multiple channels
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| Stage | MVP
| Startup
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| Founded | Not given
| 2025
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| Based in | Not given
| IN
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| Pricing model | Not given
| Open source
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| Pricing | Not given
| Free to run, fork and build on commercially under Business Source License 1.1; paid hosted plans from $0 to $79 USD
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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
| - Human approval workflows
- Multi-channel support (WhatsApp, email, voice, web)
- Retrieval and graph memory
- Guardrails and governance with budgets
- Browser automation
- Role-based access control
- OpenAPI and Swagger tool import
- Agent skill learning
- Sealed audit log
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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
| - Runs on laptop, server, or Kubernetes—same images everywhere from release
- Complete governance embedded in platform and SDKs with approval, budgets, audit
- Open standards: MCP, A2A, AG-UI, OpenTelemetry, OIDC, OpenAPI
- Business Source License allows commercial use and forking
- Console in 22 Indian languages
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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 | 8 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 1 | 0 |
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| Citation Flow (Majestic) | 24 | 11 |
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| Referring domains (Majestic) | 29 | 2 |
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Kanlet
VegaDūta