PIELake is an OSDU-native data foundation built on Databricks. Unify wells, seismic, GIS, and subsurface data into a governed, AI-ready lake — so agents and engineers get answers, not queries.
PIELake is the OSDU-native data foundation that sits between Databricks and your PIEScale applications. It handles schemas, entitlements, and domain data management so your teams never build that plumbing again.
PIELake unifies wells, geology, geophysics, and operations data across open industry standards into a single AI-ready foundation.
Complete well lifecycle from spud to production
2D/3D volumes, horizons, attributes, and faults
Basins, fields, boundaries and well locations in spatial context
Grids, fluid models, completions, and production history
Laboratory measurements, petrophysical analysis
Log curves, distributed temperature sensing, acoustic data
Real-time data, production monitoring, facility data
Broad industry interoperability across all major formats
PIELake on Databricks demonstrates broad alignment with core OSDU services and release milestones. Open standards, native Databricks foundation, enterprise-ready evolution path.
PIELake adds ready-to-use capabilities on top of Databricks — so you get agentic ingestion, AI-guided discovery, and scientific visualization without building from scratch.
Natural-language guided ingestion, orchestrated with Genie and Databricks Jobs. No SQL. No custom scripts.
Assess source data early to improve trust, reduce rework, and speed up subsurface ingestion. Catch issues before they reach your lake.
Search, discover, and map subsurface data in natural language. Genie fetches directly from Lakebase through MCP — governed and secure.
Natural-language access to seismic data, visualized directly in PIEScale. Petabyte-scale seismic, one governance model.
Put subsurface elements in geospatial context with interactive, scalable map-based exploration. One spatial foundation for energy and mining.
Domain agents turn proprietary subsurface data into actionable insight. Every capability is driven by personas asking real questions of their proprietary data.
Non-OSDU applications read and contribute data through PIEScale, with no changes to the applications. Format translation, schema mapping, and OSDU compliance — all handled automatically.
Zero-copy access to on-prem files through Qumulo, enriched by PIEScale and exposed to apps and AI agents through MCP. Nothing moves.
Files stay on-prem in Qumulo. Nothing is moved to the cloud.
PIEScale adds metadata as data reaches PIELake on Databricks.
Genie and 3rd-party agents query through MCP. Governed and secure.
Whether you're building apps, connecting AI assistants, or running agent-to-agent workflows — PIELake meets you where you are.
Full OSDU-compatible REST APIs. Build applications, integrate pipelines, and query subsurface data at enterprise scale with standard OSDU service contracts.
Model Context Protocol lets AI assistants like Genie One query PIELake directly. Natural language → governed data access. No SQL, no custom connectors.
Domain agents (Well, Seismic, Geobodies, Reservoir) coordinate through A2A protocols. Complex multi-domain workflows execute autonomously with full traceability.
Building OSDU compliance on Databricks from scratch takes months. PIELake gives you schemas, entitlements, DDMS, and agentic workflows — ready to deploy.
See how PIELake unifies complex subsurface data and turns it into governed, AI-ready context for engineers, applications, and autonomous agents.