Fewer outages, lower maintenance costs.
Agents and predictive models that keep plants running, assets maintained and employees answered, across energy, utilities and manufacturing.
What agents change in energy and manufacturing.
AI across the energy, power and utilities value chain: optimised exploration, safer operations, predictive maintenance and automation for operational efficiency, plus HR and finance agents for manufacturing groups.
Reliability up, cost down
70% better machine reliability and maintenance costs halved for a global energy leader.
Employees answered in minutes
HR and finance questions answered in under two minutes instead of a day, for a 5,000-person conglomerate.
Safer field operations
Risk models and conversational support for field staff, from pipelines to substations.
The workflows that keep a plant running.
Each one starts in assist mode beside your team and earns autonomy as it proves itself. Most are live within weeks on the systems you already run.
- 01Predictive maintenanceSensor data turned into early warnings and a health score for every asset.
- 02Smart risk modellingPipeline and asset risk evaluated on vulnerability and impact, cutting the time from incident to identification.
- 03On-field support with conversational AIField staff ask for safety rules and performance data in plain language and get answers drawn from internal and external sources.
- 04HR and finance agentsPolicy questions, leave requests and financial metrics answered in under two minutes for a 5,000-person conglomerate.
- 05Supply-chain optimisationEnd-to-end supply chain data analysed to predict disruptions and reroute shipments around them.
- 06Exploration and distribution analyticsField-sensor and public data combined to evaluate prospects and their financial risk, and to balance load and generation.
Results in energy and manufacturing.
improvement in machine reliability
A major energy conglomerate<2 minaverage response time, down from 24 hours
A large manufacturing conglomerate with multiple business divisions80%less time spent retrieving financial information
A large manufacturing conglomerate85%reduction in IT support requests for routine data questions
A large enterprise running on ERP and backend databasesUnplanned downtime is the most expensive silence in industry. We replace it with foresight.
Sensor data to decisions
Recurrent neural networks over hundreds of sensors, turned into a health score for every asset.
Agents in your enterprise systems
SAP SuccessFactors, Jira and your finance systems, not a separate portal.
Industrial-grade governance
Every automated action logged, with people approving maintenance and spend decisions.
Teams at the plant
Forward-deployed engineers who work on site with operations and maintenance.