Inflect Systems/Maintenance & reliability
Find the cause faster.
When a machine goes down, the answer is usually scattered: an alarm here, a manual there, a drawing in a binder, a fix in someone's memory. I pull it into one ranked trail — alarms, trends, PLC snapshots, manuals, drawings, work orders, and spare parts — so the next repair starts from evidence, not a guess.
The fault is loud. The knowledge is quiet.
The hard part of a repair is rarely turning the wrench. It is knowing what actually failed, whether it happened before, and where the trustworthy information lives. I make that knowledge reachable.
Stop re-solving the same fault
Recurring failures usually leave a trail. Surface prior alarms, prior fixes, and prior work orders so the tech isn't starting from zero at 3am.
Get the manual to the machine
Manuals, drawings, and procedures are useless in a binder no one can find. Tie them to the specific asset, fault, and symptom in front of the tech.
Keep the veteran's knowledge
When the person who knew the machine retires, the knowledge shouldn't leave with them. Capture fixes as reusable, searchable context.
From alarm to answer
Not a chatbot bolted onto a document dump, and not something a tech has to remember to open. The fault starts the work, and the diagnosis is grounded in the machine's real signals and the plant's real repair history.
Fault-triggered diagnosis
The fault itself starts it. The on-shift tech is told what tripped, the live PLC state and the trend behind it, the closest prior events, and the shortest path back to running.
Root-cause analysis
Separate the symptom from the source. Correlate what changed upstream, what was bypassed, and what recurred so RCA isn't a guessing meeting.
Manuals & drawings, in context
Bring the right page of the right manual and the relevant drawing to the specific asset and fault — instead of a plant-wide document search.
Work-order & CMMS history
Pull past work orders, parts used, and outcomes for this asset so a repair builds on what already worked instead of repeating what didn't.
Spare parts & readiness
Map BOMs, substitutes, lead times, and critical spares so the next failure already has a path to repair, not a two-week wait.
Early predictive signal
Duration holds, drift, re-notify with escalation, and return-to-normal events surface a developing problem before it becomes a breakdown.
From symptom to documented fix
Read the machine and the records, reason across them, put the tech in control, and leave the fix behind as reusable knowledge — not a story that walks out the door.
Alarm / fault / drift
A trip, a hold, a trend going the wrong way, or an operator report that something isn't right.Manuals / drawings / work orders
PLC snapshots, historian trends, CMMS history, parts data, and prior fixes for this asset.Local or scoped model
Correlates the live signal with the history and the documents into a ranked, explainable trail.Technician / reliability
The tech sees the evidence and the next step, and stays in control of the actual repair.Work order / RCA / knowledge
The confirmed fix is written back as a work order and reusable context for the next time.One drive fault, start to finish
The same fault as one shift sees it, from the trip to the new part in hand. Nothing in it is faster because a model is clever. It is faster because the round-trips are gone.
Fault
A drive trips. The fault code, the drive's own fault buffer, and the trend running into it are captured at the moment it happens.
Notified
The on-shift tech is told without asking, with the drawings for that asset, its work-order history, and the closest prior events already attached.
Narrowed
Guided troubleshooting works down from the fault code, showing what it read and why. The tech confirms the motor failed, not the drive.
Identified
After lockout, before the motor comes off, he photographs the nameplate. A local model reads it, matches the stock item, and returns the bin — or the approved substitute when the shelf is empty.
Staged
The tech confirms the match — or the model says it isn't sure and shows what it read. Then the stockroom is notified with the part, the bin and the work order, and it is pulled while the old motor is still coming loose.
Closed
The replacement is waiting when the motor comes off. Run-up confirms the fault cleared, and the cause, the photo and the fix are written back for the next time.
Count what is missing from it. Nobody walks the floor to find out the line is down. Nobody pages through a binder for the fault code. Nobody carries a nameplate photo to the stockroom, and nobody finds the bin empty with the motor already off. I could put an average on those; yours would be worth more.
Bring me your last ten unplanned stops and I will tell you which ones this would have shortened — and which ones it would not have touched.
For each one: date and time, the machine, how long it was down, what the operator wrote, and what maintenance wrote. A photo of the whiteboard is fine. A CSV export is fine. Do not clean it up — the gaps in the record are usually the interesting part.
You get a written read back. No deck, and no discovery phase you pay for. If the honest answer is that none of the ten would have been helped, that is the answer you get.
Send ten stopsThe button opens your mail client with the rows ready to fill. If it does nothing, write to hello@inflect.systems directly — some plant desktops block it.
No step of that needs the internet. For a serious inquiry I will set it up on site: the models running on hardware in the room, reading your equipment under your plant's rules and writing nothing to it, with nothing leaving the building.
Diagnosis you can trust, not a confident guess
A maintenance tool that invents answers is worse than none. I build it to show its work and stay honest about what it does not know.
Evidence, not assertions
Every ranked cause points back to the alarms, trends, documents, and past work orders behind it — so a tech can verify, not just believe.
Honest confidence
Ranked candidates with calibrated confidence and an explicit "not sure yet" — never a fake certainty that sends a crew down the wrong path.
Read-only near machines
Diagnosis reads signals; it doesn't quietly write to a PLC. Any change to equipment stays on an engineered, human-approved path.
Local / on-prem deployment
Run local models and collectors on your own hardware so drawings, machine data, and repair history never have to leave the building.
Audit trail for every call
Track what the agent saw, what it recommended, who acted, and what the outcome was — so RCA and reliability reviews have real records.
Works with what you have
Scanned PDFs, old drawings, historian exports, CMMS records, and half-labeled assets are valid inputs, not blockers.
Built by someone who has chased the fault
The worst failures hide in the seam between mechanics, controls, and data: the machine looked fine, the logic looked clean, and the fault kept coming back because the real cause was one layer over from where everyone was looking.
I follow those failures end to end, and I wanted a tool that preserves the evidence trail instead of a black box that hands a crew a confident, unverifiable answer.
Repair from evidence.
Bring a recurring fault you want diagnosed, and we will talk through what the machine data and work-order history would need to show to close it.