Frame is an energy and industrials professional services firm. Senior practitioners embed inside your operations and ship live production AI on Databricks. First system live in about 10 weeks.
Databricks partner · Databricks Accelerate funding available · Houston-based
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.
The person who scopes the work builds it. No junior teams, no offshore handoff, no slideware.
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.
Big SIs dilute energy depth across hundreds of thousands of staff and hand off to junior teams. Generic AI boutiques cannot navigate OT, regulatory complexity, or the realities of energy operations. Frame was built to fill exactly that gap.
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.
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