| What it does | Semantic context layer that helps AI agents understand your business data accurately
| Cloud agents you can watch, on the AI you already pay for
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| Stage | MVP
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| Founded | Not given
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| Based in | Not given
| US
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| Pricing model | Not given
| Freemium
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| Pricing | Not given
| Free plan with 20 credits/month (about 4 hours of machine time). Starter at $30/mo with 400 credits/month (about 80 hours). Pro at $75/mo with 2,000 credits/month (about 400 hours). Max at $120/mo with 4,000 credits/month (about 800 hours). 1 credit equals 12 minutes on default Small devbox. Medium
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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
| - Watch cloud agents in real-time with live terminal and file tree
- Automated PR reviews with before/after screenshots
- Video recording of agent actions
- Scheduled automations daily or weekly
- Live port previews for each port the agent opens
- REST and WebSocket API for tasks and automations
- Isolated Firecracker microVMs per task
- Skills from repository SKILL.md files
- Reply by email to pause and resume agent tasks
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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 devboxes you can watch, not sealed boxes
- Runs on your own AI provider account with no second bill
- Pay only for compute, with no per-task fees or surprises
- Code never used for training
- Machines destroyed after use, never reused
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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 | 31 ● no change since last check |
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| Trust Flow (Majestic) | 1 | 7 |
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| Citation Flow (Majestic) | 24 | 22 |
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| Referring domains (Majestic) | 29 | 48 |
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Kanlet
Aether