
Dovient turns your plant's documents, machine data, and your experts' know-how into verified AI guidance for your plant floor teams, driving faster, safer and more consistent execution of plant maintenance operations.
Three failure modes every multi-site operator recognizes.
The Pattern Behind All Three
Your operating knowledge isn't missing. It's unreachable.
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
Dovient lays the foundation with your plant knowledge
Dovient institutionalizes your expert tacit knowledge, before it walks out the door.
Plant documents
SOPs, OEM manuals, work-order history, equipment specs.
Live SCADA & IoT data
Real-time machine and sensor signals from the floor.
Tacit Knowledge
The undocumented expert know-how your seniors built over years.
One verified knowledge layer
Connects knowledge with workflows
Ties your plant knowledge to your maintenance & operational workflows, and gives your team safe AI guidance.
Dovient unifies plant documents, live SCADA, IoT data, and most importantly tacit knowledge, your experts' know-how, into one verified knowledge layer.
Connects that knowledge to your maintenance, operations, reliability and safety workflows by integrating with your existing systems.
Driving faster, safer and more consistent execution across your plant maintenance operations through Dovient's AI Copilot.
Outcome from day one of deployment
Guide every breakdown with verified diagnosis and repair steps. The moment a line stops, the technician gets the likely cause and the exact fix for this machine, pulled from your own manuals and how your veterans fixed it last time. No searching, no guessing.
Beyond faster repairs
Turn your experts' know-how into illustrated, step-by-step SOPs in every operator's language. The same approved procedure on every line, every shift, every site.



Generic AI generates fluent answers from whatever it was trained on, with no built-in way to know when it lacks context. That's why generic AI hallucinates in manufacturing.
MissingDots closes that gap. Before any answer reaches your team, it checks whether your plant's combined knowledge contains enough context to answer with confidence. If it doesn't, it refuses to guess. It surfaces what's missing and asks for it instead.
Honest uncertainty over fabricated confidence.
“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.
No six-month implementation. No multi-vendor consulting engagement.

Drop in your SOPs, equipment manuals, and P&ID diagrams. Dovient ingests and structures everything into a searchable knowledge graph.
Your technicians get the information they need at the moment they need it most. No searching through 1000-page documents. No guessing.
Roll out across lines and plants. Scale to other workflows and capture new knowledge as it happens.
Join Leading Manufacturers
Trusted by industry leaders worldwide










“Reduced unplanned downtime by 35% and cut maintenance costs by 28% within 90 days.”
Sridhar, Senior Maintenance ManagerKayempee Foods
“Consolidated Preventive Maintenance, Vendor Management, and Calibrations onto a single platform.”
Maintenance LeadTKIL (Thyssenkrupp Industries India)
“Brought assets from five petrochemical and pharma sites onto Dovient, now audit-ready with SOP-driven maintenance.”
Sri Hari, Senior Maintenance ManagerVirchow Group
“Now monitoring critical equipment like chillers and refrigerators, fixing issues before breakdowns and reducing wastage by 85%.”
Chandra Sekhar, Maintenance HeadBikanerwala
Backed by leading accelerators and industry bodies



Book a demo and see Dovient on your own equipment.
Answers to the questions every operations and digital leader brings to the evaluation.
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 guideTotal Productive Maintenance turns operators into your first line of defense. Learn the 8 TPM pillars, how to implement autonomous maintenance, and why plants with mature TPM programs see 15-25% OEE gains.
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 articleReady-to-use PM checklists for motors, pumps, conveyors, HVAC, and compressors, with the inspection items, frequencies, and tolerances that hold up in audits.
Read article