Two engineers walking along the rows of a solar park at golden hour

Industries Energy, utilities & manufacturing

Fewer outages, lower maintenance costs.

Predictive models that keep plants and assets running, and agents that answer employees in minutes, across energy, utilities and manufacturing.

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Clients in energy and manufacturing

What AI changes in energy and manufacturing.

AI for exploration, safer operations, predictive maintenance and automation across energy, power and utilities, 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 runs on the systems you already have. It starts beside your team and earns autonomy as it proves itself.

Two power engineers in clean safety gear inspecting a transformer at a substation

Predictive maintenanceSensor data turned into early warnings and a health score for every asset.

Risk modellingPipeline and asset risk scored on vulnerability and impact, so incidents are identified sooner.

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.

HR and finance agentsPolicy questions answered, leave requests processed and financial metrics retrieved on request.

Supply-chain optimisationEnd-to-end supply chain data analysed to predict disruptions and reroute shipments around them.

Exploration 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.

All case studies

Energy & manufacturingPredictive AI

70%improvement in machine reliability

Predictive maintenance for a global energy company

A major energy conglomerate

Energy & manufacturingAI agents

<2 minaverage response time, down from 24 hours

An HR agent for a manufacturing conglomerate's 5,000 employees

A large manufacturing conglomerate with multiple business divisions

Energy & manufacturingAI agents

80%less time spent retrieving financial information

A financial insights assistant that answers in plain language

A large manufacturing conglomerate

Unplanned downtime is one of the most expensive problems in industry. We use sensor data to warn engineers before a machine fails.

Sensor data to decisions

Recurrent neural networks read hundreds of sensors and turn the data into a health score for every asset.

Agents in your enterprise systems

Agents work inside your HR, ticketing and finance systems, so staff have no separate portal to learn.

Industrial-grade governance

Every automated action is logged, and you set the approval rules for maintenance and spend.

Teams at the plant

Forward-deployed engineers work on site with your operations and maintenance teams.

Talk to a team that has done this in energy and manufacturing.

A strategist and an engineer will look at how the work runs today and tell you plainly what kind of AI fits, what it takes and what it will return.

Talk to us Check a workflow first