The risk engine for the physical world

Your FMEA is wrong.It just can’t tell you yet.

Generated from your engineering data. Updated when work orders, field failures, and supplier issues prove something changed.

Bring one document. See the gaps. 30 minutes.


Tacit AI DFMEA workspace: failure modes generated from design specs with AI reasoning and source traceability
Tacit AI PFMEA workspace: process steps, 6M cause analysis, and control plan links
Tacit AI FMECA and reliability workspace: Weibull analysis, criticality, and work-order feedback




Up to $24 billion. 67 million inflators recalled.

The evidence existed for years before anyone connected it. Takata, 2008-2024.

Warranty claims, work orders, supplier escapes, and field complaints lived outside the risk model until it was too late.





⚠︎

⚠︎

The Gap
Your risk model changes slower than reality.
Design assumes how the product will be built. Process assumes how the design will behave. Maintenance and field data reveal what actually happens. Too little of it flows back.

*Observed across engagements with pharma, automotive, mining, and industrial manufacturers.


Results from current enterprise deployments

Always current
updates when data changes
All deployments
100%
traced to source documents
All deployments
>30%
engineer task time reduction
Production deployments
80-95%
engineer-level accuracy
Production deployments
10×
more systems, same team
Across all deployments
<3 weeks
vs. 12 months manual
Across all deployments

"The combination of AI-generated FMEAs, data quality scoring, and source traceability is unlike anything else available."

Global Reliability & Maintenance Lead, Global Pharmaceutical Group

The platform

Everything you already have.
Turned into risk strategy you can defend.


Click to pause



How it works

One system. Three weeks. No workshops.

One critical system. Start fresh or audit what you have.

DAY 1

Send your data

Specs, flows, records, PDFs, existing analyses. Structured or not.

DAY 2-5

AI structures it

Data quality scored. Failure modes extracted. Hierarchies built.

DAY 7

First results delivered

Risk-ranked, traced to your documents and work history. Ready for engineer review.

WEEK 2

Engineers review

Your team corrects. Each edit improves the next draft.

WEEK 3

You decide

Accept, request changes, or scale to more systems. You're in control.

ONGOING

It stays alive

Field data closes the loop. Gaps surface automatically.

From our clients

What engineering teams are saying.

"We evaluated Tacit AI for Design FMEA on a critical power electronics subsystem. The structured output and the approach to connecting information exceeded expectations. We're proceeding with a formal pilot."
Design FMEA
Proceeding to pilot

"We can draft multiple FMEA per day, compared to one every week before Tacit AI. The improvement in data quality and standards helps us accelerate improvements."
1/week → multiple/day
83% data quality. 26% PM eliminated.

"Tacit AI helped us access manuals, drawings, and procedures instantly, reducing desk trips. Field teams spend more time on assets, improving work cycle and wrench times. The rolling mill pilot is just the beginning in our digital transformation journey."
42 min saved per repair
+13% wrench time

"Without Tacit AI, the critical gaps hidden in 19,000 work orders would have stayed invisible. The 2.7x data quality improvement was just the beginning."
2.7x data quality
19K work orders processed

"We have 30,000 functional locations across 10 offshore platforms. Organizing strategies manually would take years. When we saw the automated failure-mode mapping and PM effectiveness tracking - it was like a miracle."
Years → weeks
30K assets covered

"Where AI can really help us is studying data from multiple sites in multiple languages to identify common failure patterns. That has a lot of value."
Cross-site patterns
40+ languages

"The benefit of using AI is to find 100,000 $100 improvements. We have no practical means to do that manually. It's not possible."
100K × $100 gains
Not possible manually

"I've been evaluating top-quartile solutions for the past year. Even the best ones don't have what Tacit AI offers. The combination of AI-generated FMEAs, data quality scoring, and source traceability is unlike anything else available."
1 year eval
Nothing compares

"We tested Tacit AI to build an FMEA for a critical screener. We gave it troubleshooting and maintenance PDFs, a BOM in Excel and a few sentences of context. The output was an 80-90% ready FMEA with mitigating tasks, work instructions and clear AI reasoning that our engineers could quickly adapt and load into our reliability system."
80-90% draft-ready
Days vs months

"Tacit AI flags complex bad actor patterns our team missed. The context graph connects work orders, manuals, and failure modes automatically."
Repeat failures surfaced
Cross-WO linkage

"From 10,000+ work orders and 100+ manuals, Tacit AI surfaced 56 data quality and failure attributes we had no visibility into. First actionable results came within 4 weeks."
10K+ work orders processed
Results in 4 weeks

"Tacit AI is a fantastic solution for quickly getting to a high-quality FMEA without a heavy resource load on our Reliability Engineers."
80-90% draft-ready
Days, not months

"Technically, it convinces me. I know this is the future of maintenance management. We spent six months on one machine's RCM and still aren't finished. This compresses that to days."
6 months → days

"As a small manufacturer, quick time to ROI and efficient resource allocation are top of mind. Tacit AI helped our technical team complete months of work in Week 1."
Months → Week 1

"We are now able to prevent failures from happening and do work much faster than before. The morale of our small technical team went up because they now see the value of the data they collect in the CMMS."
-37% repair cycles
ROI in Week 1

"We spent six months on one machine's RCM and still aren't finished. This compresses that to days."

Maintenance Coordinator, Global Cement - Kiln & Mill RCM

Your team

Every role. Every standard. Living FMEAs.

Design Engineer view - DFMEA generation with source documents, failure mode analysis, and evidence citations
Process Engineer view - PFMEA generation with process flow, failure modes, and connections canvas
Reliability Engineer view - FMEA with Weibull analysis, bathtub curve, failure probability, and document traceability
Engineering Manager view - Strategy Management Center with portfolio KPIs, failure mode Pareto, and risk heatmap
Quality and Compliance view - FMEA portfolio with traceability, RPN distribution, and risk scoring
VP and Plant Leadership view - Asset Performance Optimization with availability heatmap, MTTR and MTBF trends, and recommended actions
Your infrastructure

Your data never leaves your infrastructure.

Each claim backed by running code. Built to pass your toughest review. Structured around AIAG-VDA, IEC 60812, SAE J1739, MIL-STD-1629A, and ISO 14224.

01

Human-in-the-Loop by Default

No FMEA row ships without explicit confirmation. Sign-off workflows enforce manager approval. All edits are versioned, attributed, and reversible.

02

Your Infrastructure. Your Audit Trail.

Audit trails, structured logs, and model evidence for regulatory inspections. Runs on your VPC or on-premise. Dedicated database per customer. Air-gapped mode available.

03

AI Reasoning is Exportable, Not a Black Box

Scores export with step-by-step reasoning, confidence scores, and source attribution. Fully auditable per user, system, and operation.

04

Your Knowledge Layer, Not Ours

Failure libraries, corrections, and cross-site patterns are stored as structured domain data. AI models upgrade underneath. Your investment compounds forward, independent of any model change.

FAQ

Before you ask.

All outputs include source citations and require engineer sign-off before implementation. Edits are versioned with a full audit trail. We draft, your engineers decide. The result: experienced engineers cover 10 systems instead of 1, and new engineers learn faster from structured drafts than blank spreadsheets. Corrections feed back, so the next draft is better.

We start by scoring your data quality field by field. You see exactly where the gaps are before anything else happens. Then we work with whatever you have: messy records, PDFs, spreadsheets. The worse your data, the more value we add. For greenfield with no operational history, we work from design specs, BOMs, OEM manuals, and industry failure libraries. See how standardization works

Good. Upload them. We audit your existing analyses against actual field data: work orders, failure history, and inspection results. The output is a gap report showing which failure modes your current program misses, which severity ratings have drifted from reality, and which controls aren't performing. Most sites find 30-40% of failure modes are missing or outdated.

Generic AI produces rows that look like an FMEA but aren't traceable, deduplicated, or updatable. Our output is different: every row links to its source document with page-level citations. Failure modes are deduplicated against a domain taxonomy. Data quality is scored. And when source data changes, affected rows are flagged and risk scores recalculate. That's what generic AI can't do. See the full comparison

Deployed on your VPC (Azure, AWS, GCP) or on-premise. Dedicated database per customer. No data leaves your environment. Encryption at rest and in transit, MFA, RBAC, full audit trail. Air-gapped mode available for defense and classified environments. Full data export at any time.

We deliver in Excel, PDF, or directly into your PLM/CMMS - no new tool to learn. That's what Phase 1 is for: pick 1 system, get results in 3 weeks. If it doesn't meet your standard, you don't expand. Each phase has a go/no-go gate. In practice, experienced engineers adopt fastest because they recognize the quality.

Thirty years of institutional knowledge walks out the door. The replacement opens 50 spreadsheets and has no idea why severity was rated 8 or what "inadequate lubrication" means for that specific pump. Our system preserves the reasoning: every row has source citations, every correction is stored, every risk ranking traces back to evidence. Import your existing Excel FMEAs and we regenerate the reasoning your team never documented. The knowledge stays even when the person doesn't.

Your engineers spend 200+ hours per FMEA. Consultants charge $10-60K per system. We deliver in 3 weeks at a fraction of the cost. One avoided failure event pays for the engagement - multiply across your fleet. We include a business case package in every engagement for exactly this reason.



Pick one critical system.
See the failures nobody connected.

Bring one document. See the gaps. 30 minutes.

"We evaluated Tacit AI on a critical subsystem. We're proceeding with a formal pilot."

Design Engineer, Top 10 Global OEM - FMEA, Europe

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