Enetrion Contact us

Applied AI, automation, supply chain and energy

We turn operational data into systems that run better.

Industrial and manufacturing operations already produce the data that explains them. We build the models, automation and software that act on it, across AI, digital systems, supply chain and energy. Digital work is delivered remotely. On-site engineering covers Wisconsin, Illinois and Minnesota.

Our tools

What are you trying to do?

Seven tools, built because these four questions kept coming up across the work. Pick the one that sounds like your week.

Design and simulation

2 tools

NavierSolva

In private beta

Computational fluid dynamics with an assistant in the loop.

CFD answers questions about flow, heat and pressure that a test rig cannot reach cheaply. The cost is expertise: preparing geometry, building a mesh that holds up, choosing solver settings, and reading what comes back. NavierSolva puts an AI assistant alongside each of those steps, so an engineer who knows the physics does not also have to be a specialist in the toolchain.

  • Geometry and meshingImport CAD, clean it up, and generate a mesh with the quality checks reported before the run rather than after it.
  • Guided case setupBoundary conditions, turbulence model and solver settings proposed from a description of the problem, each choice explained rather than buried in a preset.
  • Solve and monitorResiduals and convergence stay in view while a case runs, so a diverging solution is caught early instead of at the end.
  • Results and reportingFields, plots and a written reading of what the run shows, exported as a report rather than a folder of images.

CADVector

Internal engine

Specification in, parametric geometry out.

Converts natural language and structured specification into parametric 3D geometry. It runs on a curated, quality-ranked corpus of several hundred thousand design examples, with a retrieval and generation architecture that resolves a specification into working geometry through a live service rather than a research notebook.

  • Spec to geometryDescribe a part in words or structured parameters and get parametric geometry back, not a mesh nobody can edit afterwards.
  • Ranked example corpusSeveral hundred thousand design examples, curated and quality ranked, so retrieval has something worth retrieving.
  • Component graphDiscrete parts, spatial relationships and candidate articulation points read out of an assembly.
  • Live serviceRuns behind an API as a generation service, so it can sit inside a pipeline instead of beside one.

What we do

Delivered remotely. Boots on the floor where it matters.

Most of what we build ships remotely. Energy work is the exception, because nobody can audit a compressor over a video call. We are honest about which one your problem needs.

Remote delivery

AI, automation and supply chain

Production systems at a fraction of the cost of a large consultancy.

We build what the problem actually calls for. Classical machine learning where it wins, deep learning where the signal demands it, and generative AI or agentic systems where the work is language and documents. No method is chosen because it is fashionable.

  • Forecasting, anomaly detection and predictive maintenance
  • Deep learning on sensor, vision and time-series data
  • Generative AI and agentic workflows for documents and operations
  • Automation and control system integration
  • Supply chain visibility, planning and risk models
Talk to us about a build

On site, Wisconsin, Illinois, Minnesota

Energy performance engineering

Savings measured against a metered baseline, never estimated from a spreadsheet.

Someone walks your floor, meters your equipment, reads your drawings and argues with your utility invoices. Compressed air, motors and drives, process heat, demand charges, power factor, scheduling. Every measure is costed, then verified once it is in.

  • In-person walkthroughs and equipment metering
  • Facility and process energy audits
  • Utility tariff, demand charge and power factor analysis
  • Measurement and verification against a real baseline
  • Electrification and decarbonization roadmaps
Talk to us about a site

Applied AI and machine learning

Old-school ML, deep learning or agentic AI, whichever actually wins.

  • Forecasting and demand prediction
  • Anomaly detection on sensor and meter data
  • Deep learning for vision, signals and time series
  • Generative AI agents for specs, tenders and manuals
  • Optimization models for scheduling and dispatch

Deliverables Working models, data pipeline, handover docs

Automation and digital systems

Connect the plant floor to something that can act on the data.

  • SCADA, BMS and historian data pipelines
  • Control system and PLC integration
  • Workflow and back-office automation
  • Metering strategy and instrumentation
  • Reporting built on your own data, not ours

Deliverables Integration plan, live data flow, specifications

Supply chain systems

Specify well, source well, and know the lead times.

  • Demand and inventory forecasting models
  • Lead-time and single-source risk mapping
  • Supplier and logistics visibility tooling
  • Equipment specification and vendor due diligence
  • Total cost of ownership modeling

Deliverables Planning model, vendor scorecard, risk map

Energy performance

Find the load, price it, then prove the saving.

  • Industrial and process energy audits
  • Tariff, demand charge and power factor analysis
  • Measurement and verification
  • Decarbonization and electrification roadmaps
  • Energy management system support

Deliverables Costed measure list, verification plan, baseline model

Working with us

Who we are, and how we start

Why us

Years of it, in the disciplines that matter here

Enetrion is built on long experience across artificial intelligence, digital systems, automation, supply chain and energy. That combination is the point: the people building your models are the same people who understand the plant the data came from.

  • AIMachine learning, deep learning and generative or agentic systems
  • SystemsDigital platforms, integration and industrial automation
  • Supply chainForecasting, sourcing strategy and lead-time risk
  • EnergyIndustrial audits, tariffs, demand management and verification

Working together

Three ways to start

Discovery

A short, fixed-scope look at the data you already have, ending in a written view of what is worth building and what is not.

Duration
2 to 6 weeks
Basis
Fixed fee
Best for
A first honest answer
Start a discovery

Project

Scoped delivery of AI, automation, supply chain or energy work, from proof of value through production and handover.

Duration
1 to 12 months
Basis
Fixed fee or milestone
Best for
A committed plan
Scope a project

Retained advisory

Ongoing engineering and data capacity alongside your team, drawn down as you need it.

Duration
Rolling
Basis
Monthly
Best for
Portfolios and multi-site
Discuss a retainer

Where we work

Industries we serve

Operations complex enough that the data is worth modeling, and large enough that a percentage point is a real number on the P&L.

Stamping presses on a manufacturing plant floor

Manufacturing and process

Scheduling, quality, predictive maintenance, compressed air and process heat.

Aerial view of a processing plant with storage spheres and tanks

Heavy industry and utilities

Asset telemetry, thermal systems, cogeneration, high-voltage distribution.

Shipping containers and gantry cranes at a port

Logistics and distribution

Demand forecasting, lead-time risk, warehouse loads, fleet electrification.

Solar array with wind turbines behind it

Renewables and grid

Generation forecasting, curtailment analysis, storage sizing, connection studies.

Common questions

Questions we get asked first

What does Enetrion actually do?

We build applied AI, automation, supply chain and energy systems for industrial and manufacturing operations. In practice that means taking the data an operation already produces, from meters, control systems, ERP records and documents, and turning it into models and software that change how the operation runs.

What kind of AI do you build?

Whatever the problem calls for. Classical machine learning for forecasting and anomaly detection, deep learning for signals and vision, and generative AI or agentic systems for document and workflow automation. We pick the cheapest method that solves the problem, not the most fashionable one.

Where do you work?

AI, automation and supply chain work is delivered remotely. On-site energy engineering, which needs someone physically walking the plant, covers Wisconsin, Illinois and Minnesota.

How do you handle energy savings claims?

Every measure is verified against a metered baseline rather than estimated from a spreadsheet. We will not quote you a percentage before we have seen your data, because a number produced that way is not worth anything.

How does an engagement usually start?

Usually with a short scoped discovery: we look at the data you already have and tell you whether there is a project worth running. If there is not, we say so.

Get in touch

Tell us what you are working on

A short note is enough to start. If we are not the right people for it, we will say so and point you at someone who is.

  • Emailsupport@enetrion.com
  • DigitalRemote
  • On siteWisconsin, Illinois, Minnesota
  • ResponseWithin two business days