Managed Apache Iceberg tables and hosted agents for AI to work with data
Stage
Not given
Startup
Founded
Not given
2026
Based in
US
ES
Pricing model
Freemium
Freemium
Pricing
Free plan with 200 credits per month for public repositories and core features; Pro plan at $16/month ($192 billed annually) with 4000 credits per month and private repository support; Enterprise plan with custom pricing and credits as needed
Storage €0.10 per GB-month (5 GB free monthly), Compute €0.12 per CPU-hour (10 CPU-hours free monthly), AI tokens €2.50 per million (5 million free monthly). No request, ingress or egress fees.
Key features
Connect agents with MCP Server for automatic documentation capture
Self-documenting pull requests
Sync existing documentation from Notion, Confluence, Coda, or repositories
Generate documentation on demand
Custom documentation templates
Shared knowledge layer for team-wide agent learning
Integration with Slack and MS Teams for context requests
Analytics dashboards and observability
Managed Apache Iceberg tables with automatic maintenance and backups
Multiple data ingestion methods including files, APIs, webhooks, and scheduled URLs
Query with DuckDB, Spark, Trino, Polars, or PyIceberg
Public data catalogs served over a CDN
Automatic spatial clustering for geometry tables
FTP, FTPS and SFTP support for file uploads from cameras and devices
Corporate sign-in and granular access control for organizations
Audit trail and activity log for organizational use
What makes it different
Reduces agent token consumption by 50% through shared knowledge caching
Automatically maintains up-to-date documentation as code changes
Knowledge stays in human-readable Markdown format and is portable
Improves agent consistency across runs with shared knowledge layer
SOC 2 Type II certified for enterprise security compliance
Open table format: Apache Iceberg ensures your data remains portable and readable by any compatible engine
Agents keep what they observe, decide and do as persistent tables for learning across runs
Operated in Europe with data storage in Frankfurt and model inference in Paris
Pay only for what you use with no request, ingress or egress fees
Serverless platform with no servers or clusters to manage
Dosu
LakehouseBox