From digitized maintenance to iBot — the AI Maintenance Assistant.
AI built in. Not bolted on.
iMarq is the mobile-first maintenance platform built for the people who keep assets running — techs, mechanics, and field crews.
Work orders, inspections, checklists, and compliance — digitized end to end, online or offline, on any phone or tablet.
Every completed form is structured, time-stamped, geo-tagged data. That data backbone is what makes AI practical, not theoretical.
Open enterprise architecture — integrates with any third-party system: ERP, EAM / CMMS, telematics, IoT, and more.
In production across trucking, rail, transit, grocery, utilities, and heavy engineering.
user adoption reported by customers
efficiency gains within weeks
languages supported in the field
to initial go-live
We built iMarq for one reason: make life easy for the people who keep assets running.
Smarter. Simpler. Faster.
AI does not change that goal — it extends it. A decade of digitized maintenance work has created something new: structured data and indexed documentation that AI can finally put to work.
Nothing trendy, nothing bolted on as an afterthought. Every AI feature must add value — or we do not build it.
Built with customers, for work that will actually get done — by the tech, their managers, and those who sign the checks.
An app that needs a manual will not cut it. AI arrives inside iMarq — as natural to use as speech-to-text.
The best technology is the kind your team actually uses.
An organic addition to the work they already do — inside iMarq, not another app.Answers in plain language, in their language, hands-free.The right spec, procedure, and part number at the moment of need.
Our founding goal since day one: make life easier for the crew.
Insights, analytics, and patterns they could never get before.Ask questions of years of maintenance history — in plain English.Failure hotspots, technician performance, resource planning.
An investment case that stands on its own — beyond crew goodwill.
The same iBot, the same data — making the crew faster today, and showing management what was never visible before.
AI lives inside the iMarq workflow the crew already uses. No new app, no new process, no behavior change to manage.
iBot Compass and Pinpoint answer from your own maintenance history and documentation — patterns and answers no off-the-shelf AI can give. You choose where iBot points; your data is where the value is.
Every answer carries its source document, section, and version — with confidence indicators and escalation to a human authority when unsure.
Every capability must make the tech faster in the field and give management intelligence worth paying for. If it only does one, it is not done.
The tech speaks in any of 27 languages — speech-to-text automatically translates and updates the work order or inspection record. No typing with gloves on. No language barrier between a diverse crew and a standardized record.
Comments and records land in clean, consistent English for supervisors, QA, and compliance — regardless of the language spoken. In daily production use today, including full Arabic deployment for power-generation field testing in Saudi Arabia (GTC).
Hands stay on the work; records write themselves.
Consistent, complete, searchable records from every tech — in one language.
"El freno trasero derecho hace ruido al frenar."
Rear right brake noise reported during braking.
iBot reads and learns your own documentation — OEM manuals, work instructions, technical bulletins — and answers the tech's questions from those sources. No more hunting through binders or PDFs while an asset sits idle.
Documents indexed in a secure cloud environment. Where iBot points is your choice — standard engines (ChatGPT, Claude) are available today via iBot Ask Me.
The right answer at the asset, not back at the shop.
Less downtime, fewer errors, faster onboarding — institutional knowledge captured.
"What is the torque spec for this assembly?"
45 ft-lb — OEM Manual, Section 4.2, p.118
Confidence: high · source linked
iBot connects to your maintenance, inspection, and work-order data and answers questions in plain English — even vague, open-ended ones — with charts, heat maps, and trends, not query syntax.
iBot proposes questions you had not thought to ask — surfacing inspection failure patterns, seasonal peaks, and troubleshooting trends on its own. Running today against a full year of live customer data.
*Working name
Supervisors answer their own questions without waiting on reports.
Patterns hidden in years of records — visible for the first time.
"What failed most often last winter?"
Rear right brake noise reported during braking.
The same iBot that answers the mechanic builds the picture for management.
All field activity, every site, as it happens — assignment through approval.
Where failures cluster — by asset, model, season, location — before they become downtime.
Completion patterns, peak activity, training needs — grounded in real work records.
Audit trails and regulatory documentation generated by normal work, not assembled after the fact.
Voice to work order, voice to inspection — the tech describes the job; iMarq creates the record.
Prioritization suggested from telematics and other incoming signals — work orders created where they matter most.
Field photos compared against known-good reference images — OK or needs repair, flagged automatically.
Data validated at submission — out-of-range readings caught in the field, with remedial action recommended on the spot.
Submitted reports compared against an ideal report — gaps and weak areas pointed out before approval.
Auto-review of comments and work orders detects patterns — turning veteran know-how into searchable SOPs.
Direction of travel: iBot moves iMarq from reactive fixes to proactive maintenance — including diagnostic modules (tire, brake) under development.
Run iBot exclusively on your controlled data — optionally on your own AI infrastructure — or allow configurable external engines where your policy permits. Nothing is used to train outside models.
Source citations on every response, confidence thresholds, and automatic escalation to a designated human authority when confidence is low.
We work within your governance — approved tools, review processes, and legal requirements. Pilots can run entirely on historical data before anything touches live operations.
Start with a scoped proof of concept: a defined user group, your historical data, and success criteria agreed up front — technician usage, time saved, answer accuracy.
iMarq end to end: forms, work orders, compliance. Builds the data backbone.
iBot Pinpoint + multilingual voice on your manuals and instructions.
iBot Compass on your history; AI review of reports and images before approval.
Assisted diagnostics and live validation in the flow of work. Selective pilots.
Each phase stands on its own. Each phase makes the next one better: structured data makes iBot smarter; validated knowledge makes quality AI reliable.
Start with a scoped proof of concept on your own historical data.
Success criteria agreed up front. Measurable value in weeks, not quarters.
