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Energy

Less downtime. Safer sites. Better decisions.
AI that works in the field, not just the office.

Energy operations run on margins that don't leave room for guesswork. Unplanned downtime, unsafe conditions, and missed
optimization opportunities all have real costs, measured in dollars, hours, and sometimes lives. AltaML works with operators across oil
and gas, utilities, and mining to deploy AI that improves decisions at the point where they matter most: in the field.

See Our Work in Energy
Talk to Our Enterprise Team

YOUR TEAM IS STILL RESPONDING TO FAILURES
THAT YOUR DATA COULD HAVE PREDICTED.

Energy operators have no shortage of data. Most of it goes unused because getting from raw sensor data to operational insight is harder than any vendor makes it look. Here's what we hear from the teams who have tried:

calendar
Teams spend their time responding to failures, not preventing them.

We build predictive maintenance models trained on your operational and sensor data, flagging failure risk weeks before conventional thresholds would catch it. The result: planned maintenance instead of emergency shutdowns.
Accountability
Process engineers can't monitor everything at once.

Advisory models can continuously monitor unit performance and surface optimization opportunities in real time, so operators capture efficiency gains that used to disappear in shift handovers.
Privacy-and-Data-Protection
Most safety incidents are predictable, in hindsight.

We build safety risk models that identify those hard-to-spot leading indicators of incidents well in advance of any emergency, giving HSE teams time to intervene and operations leaders data to prioritize.
operational efficiency
Demand and production forecasting are still largely manual

ML-powered demand and production forecasting models can update continuously from market and operational signals, helping planning teams avoid costly under- and over-production.
OUR WORK IN ENERGY

FROM THE WELLHEAD TO THE CONTROL ROOM, AI THAT IMPROVES OPERATIONS WHERE IT COUNTS.

layers Knowledge Retrieval

Plain-language access to engineering documentation, HSE standards, and operational procedures. Answers in seconds.

  
eye Smart Data Extraction

Extracts structured data from your field reports, inspection records, and compliance documents so nothing has to be entered by hand.

  
ai brain AI Agents & Automation

AI that acts on what it finds, like detecting an equipment anomaly, generating the maintenance work order, and even notifying the right team.

  
tool Predictive Maintenance & Asset Management

ML models trained on your operational and sensor data that flag failure risk weeks before conventional thresholds catch it.

  
trending-up Production and Demand Forecasting

Forecasting models that continuously update from market and operational signals for a reliable forward view.

  
eye Computer Vision & Physical Inspection

Turns inspection footage into structured findings: defects flagged, anomalies logged, and issues surfaced.

  

Energy's AI Platform

AltaForge is AltaML's proprietary agentic AI platform. It connects to the operational technology and data systems your teams already run, handles the safety, compliance, and auditability requirements your industry expects, and powers every model and accelerator we deploy — from flagging equipment failure risk to generating environmental compliance reports.

We build on what you already run.

We don't replace your SCADA systems, your PI historian, or your asset management platform. We connect to them, so the operational data you already capture and the systems your teams already know get smarter instead of getting swapped out.

Every deployment makes the next one smarter.

Sensor data improves predictive maintenance. Maintenance records improve safety risk models. Safety risk models improve production planning. Each workflow deployed adds to an operational picture that gets more accurate over time, rather than starting from scratch each time you scope a new use case.

Speed of software, depth of a custom build.

Off-the-shelf energy AI tools are fast but built for generic operations. A homegrown data science team takes years to build. We sit in between: workflows built for your operational environment, tuned to your assets and your data, live in weeks instead of years.

WORKING ON AN ENERGY AI INITIATIVE?

Our energy team has worked with operators across oil and gas, utilities, and mining. We know what works in the field and what doesn't — let's talk about what's not working for you.