Highpoint Intelligence is a true AI SaaS platform — a PyTorch LSTM neural network combined with a large language model (LLM) running on your SCADA data. It names the specific failure, scores its confidence, and tells you how many days you have. No spreadsheets. No rule-based thresholds. No Excel logic dressed up as AI. A real model trained on your equipment — delivered as software, no infrastructure required.
You don't have to log in and check anything. The platform watches, learns, and tells you only when something needs a decision.
Your IT team establishes a secure, read-only connection to your data source. Temperature, pressure, RPM, amps — whatever your sensors already capture.
A neural network learns what normal looks like for that specific machine — not a generic threshold.
Not "anomaly detected" — "valve wear, 89% confidence, 8 days out." Specific enough to act on.
Plain English, straight to your phone — what part to order, what it costs to wait, what to do today. A live dashboard view is also available.
No lunch breaks, no sick days, no shift change. It watches your equipment every hour of every day — including the ones nobody's paid to be watching.
2 a.m. on a Saturday, it's still reading sensor data and running the model — same as 2 p.m. on a Tuesday.
You shouldn't have to leave your kid's baseball game to log into a dashboard. It already told you what's wrong — and what to do.
Setup, training the model, connecting the data — that's on us. You're not standing up infrastructure on top of running your operation.
A lot of what gets sold as "AI" in this space is the same packaged machine learning script running for every client, in every industry. It flags a number that looks weird and calls it a day. That's not what's running here.
"Temperature exceeded limit." Static parameters set by a human, same logic for every asset. No learning, no diagnosis, no context — just a number that crossed a line.
A PyTorch LSTM trained on your equipment's real sensor history, paired with an LLM that generates a plain-English diagnosis — failure mode, confidence score, days out, and what to do. It learns. It adapts. It gets sharper over time.
Building this internally takes more than one hire — a data team, a pipeline, months of integration. Highpoint Intelligence replaces that build. Your IT team's role is simply setting up a secure connection.
Each model learns the specific degradation pattern for that equipment type — not a generic anomaly flag.
Valve wear, bearing failure, seal degradation, cooling system decline.
Motor degradation, cable faults, VSD anomalies before a costly pull.
Barrel, plunger, and valve wear from POC stroke and load patterns.
Gas treating and processing equipment that can't run to failure.
If your unplanned downtime is 0% and your emergency repair spend is $0 — this product is not for you.
We work with operators who know exactly what a surprise failure costs them — in lost production, emergency crews, and equipment damage. If that number keeps you up at night, we should talk.
That number keeps me up at night →Commander is HPI's agentic AI interface — a large language model connected directly to your live equipment data. Your COO, field supervisor, or operations manager can ask plain-English questions and get instant, data-backed answers. No SQL. No analyst. No waiting on a report.
Commander scans every asset in real time, ranks failure risk by severity and proximity to failure, and surfaces the one that needs attention today.
Commander pulls predicted failure timeline, historical downtime data, and production loss estimates to give you a dollar figure — not a gut feeling.
Commander summarizes sensor trend shifts, new anomalies detected, and alerts resolved — a weekly field briefing in one question.
Commander is not a chatbot with canned responses. It is a fine-tuned LLM with live read access to your SCADA data, alert history, and asset registry. It reasons across all of it to answer operational questions the way a seasoned engineer would — with context, not just data.
A 15-minute call. Bring one compressor, ESP, or rod pump you're watching closely. We'll show you what the model would have caught, what a pilot looks like under an NDA, and the options beyond phone alerts.