Databricks Built-On Partner
Physics-grounded energy AI,
on the data you already govern.
Applied Computing brings Orbital, the foundation model for energy, to your governed data on the Databricks Lakehouse. Physics-grounded AI for your plant, without giving up control of your data or intellectual property.
The partnership
An open foundation
for industrial AI
Databricks powers innovation through its open Lakehouse platform. By unifying data engineering, analytics, and machine learning, it lets organisations harness their information at scale and build reliable, production-grade AI.
Applied Computing builds Orbital, the foundation model for the energy industry. Orbital is data-aware and physics-grounded. It learns from your plant’s real operating data, and turns it into trusted, explainable operational decisions.
Energy operators put AI to work on their plants using the data they already control.
Recognised by Databricks
Applied Computing is a Databricks Built-On partner in the BrickBuilder Partner Network.
What the partnership unlocks
Industrial AI, on your terms
Orbital runs alongside your existing Databricks data engineering and machine learning infrastructure, on governed data you control. No rip-and-replace, and no loss of control over your data or IP.
Unity Catalog governance, Delta Lake reliability, and full lineage keep the data feeding Orbital current, complete, and auditable, so its recommendations stay grounded and trusted.
Orbital Data Connect gives you an AI-ready data foundation that Orbital can draw on from day one. Your operational data arrives current, complete, and governed, ready to turn into decisions.
How it works
Orbital Data Connect brings three kinds of operational data together into one governed environment on the Databricks Lakehouse: time-series telemetry, structured records, and engineering documents. Hover any block to see what it does, or step through the path below to follow the data from the plant to the people who use it.
Data Sources · On-Premise
Time-Series Data
Process historians / OPC UA · Live + historical readings · Port 4840 | HDA | Subscriptions
Structured Data
Lab, maintenance, ERP, production · Scheduled sync
Engineering Documents
Procedures, shift logs, drawings · Made searchable for AI
L3.5 Firewall
Secure IPsec tunnel to cloud
Databricks Lakehouse
Governed data platform · access controls + audit trail
Delta Lake
Tables / Volumes
Unity Catalog
Governance · Access
Lakebase
Low latency / OLTP
Lakehouse Federation
Zero-copy ingestion
Lakeflow Connect
Standard connectors
AI Services
AI Gateway / MLflow
VPN Gateway
IPsec · encrypted tunnel
Orbital Data Connect
Metadata Discovery
Time-Series Ingestion
Stream + batch
Structured Data Sync
Document Processing
Vector Search
Fault-Tolerant Pipeline
Gap Detection → Backfill → Deduplication → Unified layer
Monitoring
Health | Gaps | Alerts
Checkpoint Engine
Exactly-once | Recovery
AI & Analytics
Orbital
Foundation model for energy
Prediction
Forecasts outcomes, flags off-spec early
Optimisation
Finds safe, efficient operating points
Scenario Modelling
Tests conditions with explainability
Root Cause Analysis
Links issues back to drivers
Hover any block to see what it does, or step through the path.
The partnership in action
Joint Platform
KBR INSITE®
powered by Orbital
KBR and Applied Computing launched KBR INSITE, bringing physics-grounded AI to optimise assets from design through operations. The platform runs on a Databricks Lakehouse foundation that provides structured ingestion, governance, and full data lineage.
Customer Deployment
Upstream intelligence
on Databricks
Orbital Data Connect is the data integration layer in an upstream deployment, accessing datasets through Databricks alongside Lakeflow Connect and Lakehouse Federation.
From our partners
An open ecosystem, by design
Databricks
The energy transition requires moving from vision to value at an unprecedented speed. This partnership shows how open ecosystems enable energy companies to adopt best-in-class AI without sacrificing control of their data or intellectual property.”
Julien Debard
Director of Energy and Utilities, Databricks
Applied Computing
Operators should never have to trade control of their data for access to the best AI. By building Orbital on the Databricks Lakehouse, we put a physics-grounded foundation model to work on data that stays governed, traceable, and owned by the operator.”
Dan Jeavons
President, Applied Computing