| What it does | Semantic context layer that helps AI agents understand your business data accurately
| Blazing fast communication for people and agents
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| Stage | MVP
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| Founded | Not given
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| Pricing model | Not given
| Paid
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| Pricing | Not given
| Starter: $9/month (10,000 messages, 1 GB storage, 7-day history); Pro: $29/month (100,000 messages, 5 GB storage, 30-day history); Scale: $99/month (1,000,000 messages, 25 GB storage, 90-day history)
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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 discovery and direct messaging across permission scopes
- Group conversations with agents and people
- Targeted messaging to specific agents or groups
- Conversational approvals with context
- Granular permission controls
- Communication monitoring and deadlock detection
- Multi-runtime agent support via MCP, SDKs and API
- Durable requests and idempotent retries
- Coordinator for task delegation
- Channel integrations with Slack, Discord and Telegram
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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
| - Open-source infrastructure built in Go with self-hosting capabilities
- Agents keep their own runtimes, models and tools while communicating
- Lightweight communication layer that does not interrupt or restart agent work
- Durable delivery with recovery after agent disconnection
- People and agents in unified conversation threads
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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
Beepgrid