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We strip away noise and complexity to turn your data into clear directional and meaningful results leveraging artificial intelligence.
Chance to win a Samsung FRAME TV
Through strong, strategic Data & AI partnerships, Frame delivers innovation that scales — aligning with leading platforms to drive real business outcomes and long-term enterprise transformation.
Trusted by operators across oil & gas, midstream, chemicals, and utilities.
Industry research shows only about a third of enterprises report sustained, enterprise-wide AI impact. In energy and industrial operations the gap is widest: OT and IT data are siloed, assets span decades of legacy systems, and pilots stall before they ever run on real data.
The problem is not access to models. It is the absence of senior engineering embedded in the operational context to take AI from demo to production.
Frame builds on the Databricks Data Intelligence Platform as the data foundation and ML runtime for energy AI.
Unify fragmented OT and IT data into a governed Lakehouse with Unity Catalog and Delta Live Tables.
Predictive maintenance, well and asset performance modeling, and real-time operational analytics that run on live data.
Autonomous monitoring, regulatory filing, and work-order agents built on Databricks plus Claude reasoning and Azure connectors.
Role-based access, audit logging, human-in-the-loop checkpoints, and model governance designed for safety-critical, regulated operations.
A senior engagement lead and FDEs work on-site, map your highest-value use case, and scope the build.
Weeks 1–3
Embedded senior engineers ship a live production system on real data, used by real operators. The first system goes live in roughly 70 to 90 days.
Weeks 4–12
Add use cases and platform layers. Frame becomes your preferred ongoing AI delivery partner.
Ongoing
The person who scopes the work builds it. No junior teams, no offshore handoff, no slideware.
Forecast equipment failure and generate work orders before downtime hits.
Model well and asset performance on real-time operational data.
Automate crude and gas scheduling, custody transfer, and nomination reconciliation.
Real-time monitoring across assets with automatic exception surfacing.
Automate EPA, FERC, SEC, and NERC reporting and ESG disclosures.
Claude-powered processing of contracts, permits, and HSE documents.
Demand forecasting, outage prediction, and crew dispatch optimization.
Decision support across capacity, price signals, and contractual constraints.
A Gulf Coast midstream operator was managing crude nominations by hand across three disconnected systems, with roughly 40% of the scheduling team’s time lost to reconciliation. Frame embedded on-site, and by week 5 had a Databricks pipeline ingesting all three systems in real time with validation rules built alongside the scheduling team. By week 10 the system was live in production: 60% less reconciliation time, and nomination errors caught in the first two weeks that would otherwise have triggered penalties.
The only FDE firm built exclusively for energy and industrial. Domain depth that takes years to develop and cannot be bought with a partnership announcement.
No pilots. No junior delivery teams. Every engagement is scoped and delivered as a production system by senior practitioners.
Fluent across Databricks, Azure, and Claude, so you get the best architecture for your problem, not the one a single vendor sells.
Book a 20-minute working session with a Frame engineering lead. We will talk through your data, your Databricks environment, and where AI can reach production fastest.
Book before the summit ends.