Managed Apache Iceberg tables and hosted agents for AI to work with data
Stage
Not given
Startup
Founded
Not given
2026
Based in
GB
ES
Pricing model
Not given
Freemium
Pricing
Not given
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
AI-native applications for operational workflows
Lattice knowledge layer for operational context
Integration with existing systems
Governance and access controls
Blueprint process for opportunity identification
Enterprise-grade security and compliance
Managed service or self-hosted deployment options
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
Go from prototype to production in days
Outcome-based pricing - pay when it works
Captures tribal knowledge and makes it reusable across teams
Integrates with existing systems without replacement
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
Cogna
LakehouseBox