Demand forecasting
Prepare historical demand and operating data for forecasting workflows, then compare outputs against actuals.
//Energy & Utility
AI for energy operations.
Connect operational knowledge with the work that keeps infrastructure running. Help teams prepare forecasts and coordinate maintenance using the data sources approved for each task.
Discuss your workflow//Where it fits
Asset maintenance
Bring equipment records and work history together to help teams prioritize maintenance reviews.
Outage response
Surface relevant runbooks and coordinate follow-up tasks as teams assess an operational incident.
Compliance filings
Assemble supporting records and prepare draft filing materials for internal approval.
//Products
Built on your DataObserve stack.
Scientist
Prepare operational data and build repeatable forecasting workflows.
Sense · Sense
Investigate application and service telemetry in context.
Flow
Coordinate maintenance cases and response approvals.
Start with an agreed operational boundary and validated data sources. Authorized operators retain control of safety-critical decisions and physical infrastructure.
// FAQs
Working with energy & utility teams.
Can we begin without changing control systems?
A pilot can focus on approved records, historical data or advisory workflows. Any operational-system integration is scoped separately.
How are forecasts evaluated?
Agree on a baseline and relevant accuracy metrics, then evaluate the workflow against held-out historical data before operational use.