Heavy manufacturing plant with large industrial machinery on the factory floor
For Manufacturing Maintenance Teams

Keep Critical Knowledge.Slash Repair Times.Cut Downtime.

Plant documents. Live SCADA and IoT data. And — most importantly — the expertise in your senior technicians' heads. Dovient unifies all three into one verified knowledge layer that gives your frontline instant, cited answers in the moment of work.

35%
Reduction in unplanned downtime
Kayempee Foods, 90-day pilot
40%
Faster mean-time-to-repair
Measured across pilot sites
70%+
Of undocumented expertise captured
Before veteran attrition

Join Leading Enterprises

Join Leading Enterprises

Trusted by industry leaders worldwide

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APL Apollo logo
TKIL logo
Virchow logo
Bikanervala logo
Kayempee logo
APL Apollo logo
TKIL logo
Virchow logo
Bikanervala logo

“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

What Happens on Your Shopfloor

Three failure modes every multi-site operator recognizes.

The Pattern Behind All Three

Why Downtime is a Knowledge Problem

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.

Technician using tablet for equipment diagnostics
$100K+/hr

Average cost of unplanned downtime

Knowledge gaps are the leading cause

25-35%

Typical technician 'wrench time'

The rest is spent searching for information

70%

Of critical knowledge is undocumented

Walks out the door when veterans retire

Dovient solves the knowledge problem - so your team can solve the equipment problem faster.

Sources: Siemens True Cost of Downtime 2024, Reliable Plant / ATS wrench-time studies, Deloitte & Manufacturing Institute

Institutionalizing Your Plant's Tacit Knowledge

Every plant runs on two knowledge bases — the documented one, and the undocumented one. The undocumented base erodes with every retirement, transfer, and shift change. Dovient captures both and unifies them into one verified, source-traceable graph.

The Documented Layer

Plant Records

SOPs, OEM manuals, work-order history, equipment specs, and maintenance logs — ingested and structured for query.

The Undocumented Layer

Operator Expertise

The reasoning, workarounds, and failure-mode judgment that lives only in your senior technicians' heads — captured through structured elicitation, scenario walkthroughs, and in-context validation.

The Dovient Platform

How it all fits together.

Two inputs — Tacit Knowledge and Plant Documentation. Dovient's AI platform converts them into the capabilities your frontline workforce uses every day for repair, maintenance, and inspection.

Dovient platform architecture — Tacit Knowledge and Plant Documentation (left) feed the Knowledge Hub. Nine modules (Work Orders, Asset Management, Preventive Maintenance, Inventory & Spares, Production Operations, Quality, Safety, Skills Matrix & Trainings, Analytics) sit at the top of the platform. AI Agents and AI Copilot (with the frontline workforce on the right communicating through the Copilot) sit in the middle. MissingDots Verification Engine and the Knowledge Hub sit below. Everything integrates with existing systems (ERP, PLCs, SCADAs, Historians) at the bottom.

Swipe to explore →

Outcomes

Two outcomes from day one.

When a line goes down

Diagnosis without the search step.

During a breakdown, Dovient retrieves what the technician needs at each step — lockout verification, diagnostic sequence, relevant historical fixes, repair procedure, and spare-part identifier. Each step is cited and presented in execution order.

MTTR reductions of 30–40% across initial deployments.

When you need consistency across sites

Multi-media SOPs. Validated. Standardized.

Dovient transforms operator expertise and existing documentation into illustrated, video-supported SOPs in every operator's native language — whether the work is in Hyderabad, Stuttgart, or Houston.

Same approved procedure, every line, every site. Measurably shorter ramp for new operators.

MissingDots Verification

The AI that refuses to guess.

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.

Step 1
Your Question

“Why is Line 3 vibrating above threshold after the bearing replacement?”

Step 2
MissingDots Engine
Query Decomposition
Knowledge Graph Alignment
Claim Verification
Source Attribution
Step 3
Verified Answer

Step-by-step fix with cited sources, spare part numbers, and safety precautions. Every claim traceable to your documentation.

99.2%
Context completeness - answers drawn from your full knowledge base
Multi-Step
Queries decomposed, checked, and cross-referenced before answering
<50ms
Verification latency - inline checking, no batch delays

Interoperable by Design

Runs alongside the systems your plants already operate.

Dovient sits on top of your existing stack — ERPs, CMMS / EAM, historian and SCADA, IoT gateways, and your DMS. Standard connectors deploy in 1–2 weeks. Edge gateways available for low-connectivity sites.

SAPOracleMicrosoft DynamicsMaximoOPC-UASCADAMESAWS IoTAzure IoT

Deployed on the shop floor in weeks, not quarters.

No six-month implementation. No multi-vendor consulting engagement.

Technician easily using tablet app on factory floor
1
Week 1

Upload and structure

Drop in your SOPs, manuals, and work orders. Dovient ingests and structures everything into a searchable knowledge graph.

2
Week 2

Query and verify

Your team begins asking questions. MissingDots verifies every answer against source documents in real time.

3
Week 3+

Scale and automate

Roll out across lines and plants. Automate routine checks, generate compliance reports, and capture new knowledge as it happens.

Roll Out at Your Pace

Start where the pain is highest. Expand when you're ready.

01Start Here

Where the pain is highest.

Most plants begin with the workflows that drive the biggest losses — unplanned breakdowns and safety risk.

Maintenance
Safety
02Expand When Ready

On the same platform, same graph.

Add new workflows as your team proves the model — no second integration, no second contract.

Operations
Quality
Training & Skills

One platform. One knowledge graph. No second integration. No second contract.

Recognitions & Partnerships

Backed by leading accelerators and industry bodies

NASSCOM Logo
ISBD Logo
NSRCEL Logo

Your AI projects in manufacturing will only work if the data underneath is right.

Digitize your plant's tacit knowledge first.

Interoperable with your existing CMMSLive in under two weeksNo rip-and-replace required

Frequently asked questions.

Answers to the questions every operations and digital leader brings to the evaluation.

Free learning guides

Deep-dive guides for maintenance teams

Practical, technician-written guides on the fundamentals of maintenance, KPIs, preventive and predictive strategies, and shift-level knowledge management.

16 min read

CMMS Implementation Guide: A Step-by-Step Plan for Manufacturing Plants

Implement CMMS without the common pitfalls. Step-by-step plan covering data migration, team training, configuration, pilot rollout, and go-live.

Read guide
17 min read

Top 15 Maintenance KPIs Every Plant Manager Should Track in 2026

The essential maintenance KPIs with formulas, benchmarks, and improvement strategies. OEE, MTTR, MTBF, PM compliance, schedule compliance, and more.

Read guide
8 min read

Knowledge Transfer During Shift Handover: Stop Losing Context

Every 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 guide
14 min read

What is TPM? 8 Pillars That Boost OEE by 15-25%

Total 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 guide
15 min read

Predictive vs Preventive Maintenance: Which Strategy Is Right for Your Plant?

Understand the key differences between predictive and preventive maintenance. Learn when to use each strategy, cost comparisons, and how AI is changing the equation.

Read guide
16 min read

Reliability Centered Maintenance (RCM): A Practical Guide for Plant Teams

RCM methodology explained practically. The 7 questions, FMEA integration, decision logic, and how to implement RCM without paralyzing your team with analysis.

Read guide

From the blog

Essential reading for maintenance leaders

Field-tested writing on OEE, predictive maintenance, MTTR, CMMS selection, and the knowledge-capture problems that keep plants running below target.

predictive maintenance

Predictive Maintenance ROI: Real Implementation Numbers

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 article
root cause analysis

Root Cause Analysis in Manufacturing: A Practical Guide

How to run an RCA that actually finds the failure point instead of stopping at the symptom. Templates, pitfalls, and real factory examples.

Read article
oee calculation

OEE Calculation: Availability × Performance × Quality, Explained

The OEE formula broken down with real numbers from three different plants, plus the traps that make OEE look better than it is.

Read article
cmms meaning

CMMS Meaning: What a Computerized Maintenance Management System Actually Does

A plain-language explainer of what CMMS does, what it does not do, and how it differs from EAM, APM, and an AI copilot.

Read article
mttr

MTTR Reduction: Strategies That Actually Move the Number

Why most MTTR projects stall, and the three strategies (prioritization, parts availability, and skill-matching) that cut mean-time-to-repair in half.

Read article
best cmms software

Best CMMS Software in 2026: A Head-to-Head Comparison

Side-by-side comparison of the CMMS platforms manufacturers actually evaluate, including pricing, AI capability, and mobile usability.

Read article
tribal knowledge

Tribal Knowledge in Manufacturing: Capture It Before It Walks Out the Door

Every retiring technician takes 20+ years of unwritten 'how this machine really behaves' with them. Here's the capture playbook plants are using now.

Read article
pm checklist templates

Preventive Maintenance Checklist Templates by Equipment Type

Ready-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