
Dovient turns your SOPs, manuals, and tribal knowledge into an AI-powered system that gives every technician instant, verified guidance.
So fixes happen faster and decades of critical know-how never disappear.
Trusted by industry leaders worldwide










Kayempee Foods reduced unplanned downtime by 35% and cut maintenance costs by 28% within 90 days.
Sridhar, Senior Maintenance Manager
TKIL (Thyssenkrupp India) consolidated Preventive Maintenance, Vendor Management and Calibrations into one place.
Maintenance Team, TKIL
Virchow Group brought assets from 5 Petrochemical & Pharma sites into Dovient - now audit-ready with SOP-driven maintenance.
Sri Hari, Senior Maintenance Manager
Bikanerwala now monitors critical equipment like chillers & refrigerators - fixing issues before breakdowns, reducing wastage by 85%.
Chandra Sekhar, Maintenance Head
These aren't hypotheticals. They happen every week in every plant.
Manufacturing plants already have the knowledge, but it's scattered across systems, buried in Excel sheets, locked inside manuals of 1000 pages, and is in the heads of experienced technicians.
Forcing technicians to waste precious time "searching for the fix" when every minute of downtime matters.

Average cost of unplanned downtime
Knowledge gaps are the leading cause
Typical technician 'wrench time'
The rest is spent searching for information
Of critical knowledge is undocumented
Walks out the door when veterans retire
Sources: Siemens True Cost of Downtime 2024, Reliable Plant / ATS wrench-time studies, Deloitte & Manufacturing Institute
See the dashboard your team uses to find answers fast, guide repairs, and reduce downtime in real time.
From scattered data to technician-ready guidance in one connected flow.
Live Breakdown Response
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Select a guidance type
Hover or click any card to see the exact technician-facing example.
Generic AI hallucinates. On a production line, a wrong answer doesn't just waste time, it risks safety. MissingDots verifies every answer against your own documentation before it reaches your team.
“Why is Line 3 vibrating above threshold after the bearing replacement?”
Step-by-step fix with cited sources, spare part numbers, and safety precautions. Every claim traceable to your documentation.

Dovient grows with your maintenance maturity. Start with knowledge capture, expand to predictive maintenance - all on the same platform.
Use the Dovient Knowledge Hub and AI Copilot to quickly diagnose problems and guide technicians through the correct repair procedures.
Move from reacting to breakdowns toward structured maintenance with periodic inspections, checklists, and risk analysis.
Instead of relying only on fixed schedules, monitor equipment condition using signals from machines and sensors.
Use machine learning models to detect patterns in equipment data and anticipate failures early.
No 6-month implementation. No army of consultants.

Drop in your SOPs, manuals, and work orders. Dovient ingests and structures everything into a searchable knowledge graph.
Your team starts asking questions. MissingDots verifies every answer against your source documents in real time.
Roll out across lines and plants. Automate routine checks, generate compliance reports, and capture new knowledge as it happens.
Backed by leading accelerators and industry bodies



Honest answers to the questions we hear from every plant manager.
Free learning guides
Practical, technician-written guides on the fundamentals of maintenance, KPIs, preventive and predictive strategies, and shift-level knowledge management.
Implement CMMS without the common pitfalls. Step-by-step plan covering data migration, team training, configuration, pilot rollout, and go-live.
Read guideThe essential maintenance KPIs with formulas, benchmarks, and improvement strategies. OEE, MTTR, MTBF, PM compliance, schedule compliance, and more.
Read guideEvery shift change is a potential information gap. The outgoing crew knows about the intermittent fault on Line 3, the part that was ordered but has not arrived, and the workaround on the packaging machine. If that does not transfer, the incoming crew starts from zero.
Read guideMaster TPM's 8 pillars. Learn how to implement autonomous maintenance, reduce the six big losses, and build a culture of continuous improvement on your plant floor.
Read guideUnderstand the key differences between predictive and preventive maintenance. Learn when to use each strategy, cost comparisons, and how AI is changing the equation.
Read guideRCM methodology explained practically. The 7 questions, FMEA integration, decision logic, and how to implement RCM without paralyzing your team with analysis.
Read guideFrom the blog
Field-tested writing on OEE, predictive maintenance, MTTR, CMMS selection, and the knowledge-capture problems that keep plants running below target.
The 3-year financial model behind predictive maintenance programs — with the honest cost of sensors, software, and the team needed to act on the data.
Read articleHow to run an RCA that actually finds the failure point instead of stopping at the symptom. Templates, pitfalls, and real factory examples.
Read articleThe OEE formula broken down with real numbers from three different plants, plus the traps that make OEE look better than it is.
Read articleA plain-language explainer of what CMMS does, what it does not do, and how it differs from EAM, APM, and an AI copilot.
Read articleWhy most MTTR projects stall, and the three strategies (prioritization, parts availability, and skill-matching) that cut mean-time-to-repair in half.
Read articleSide-by-side comparison of the CMMS platforms manufacturers actually evaluate, including pricing, AI capability, and mobile usability.
Read articleEvery retiring technician takes 20+ years of unwritten 'how this machine really behaves' with them. Here's the capture playbook plants are using now.
Read articleEverything a plant leader needs to know about CMMS: what it manages, what it costs, how long implementation takes, and when to consider the alternatives.
Read articleWhy Now?
Downtime is getting more expensive, while the expertise to fix it is getting scarcer. AI is the only bridge.
Downtime costs $100k+/hour. One bad shift can ruin an entire quarter.
CMMS tracks history. Dovient guides the fix in real-time.
70% of plant knowledge is undocumented. Capture it before experts retire.
Start with one machine, one line, one problem.