The AI root cause investigation platform for manufacturing quality
Identify your root cause in hours, not weeks.
Defensible results in front of any auditor.
For quality teams in regulated manufacturing, Lattice is the AI root cause investigation platform that turns scattered evidence into audit-ready findings in days, and learns from every investigation so failures don't make their way back.
Systematic workflow. Full traceability. Audit-ready documentation.
Quality teams in medical devices, pharma, semiconductors, electronics, and advanced mobility use Lattice as their AI root cause investigation platform to produce rigorous investigations faster, without cutting corners.
Why not a spreadsheet, your QMS, or ChatGPT?
Each one helps you write down a root cause. None of them tests whether it's true, or shows an auditor how you got there.
| Capability | SpreadsheetsFishbone and 8D templates | Your QMSETQ, MasterControl | ChatGPTOr Copilot | LatticeAI root cause investigation |
|---|---|---|---|---|
| Gathers the evidence | Partly: By hand | Partly: Only what's attached | Partly: Only when asked | Yes: Automatically, from every system |
| Finds the root cause | Partly: By consensus | Partly: Provides the template | Partly: Plausible, but untested | Yes: Tests competing hypotheses |
| Traces every claim | No: Lost in email threads | Partly: Tracks edits, not reasoning | No: Can invent sources | Yes: Every finding to its source |
| Holds up in an audit | Partly: Depends on the author | Partly: Proves it was filed | No: Nothing to verify | Yes: Full evidence chain |
| Learns across cases | No: Tribal knowledge | No: Records don't connect | Partly: Preferences, not causes | Yes: Carries proven causes forward |
| Stores your CAPAs | Partly: A tracker sheet | Yes: Its core job | No: No | Partly: Syncs with your QMS |
Gathers the evidence
- Spreadsheets
- Partly: By hand
- Your QMS
- Partly: Only what's attached
- ChatGPT
- Partly: Only when asked
- Lattice
- Yes: Automatically, from every system
Finds the root cause
- Spreadsheets
- Partly: By consensus
- Your QMS
- Partly: Provides the template
- ChatGPT
- Partly: Plausible, but untested
- Lattice
- Yes: Tests competing hypotheses
Traces every claim
- Spreadsheets
- No: Lost in email threads
- Your QMS
- Partly: Tracks edits, not reasoning
- ChatGPT
- No: Can invent sources
- Lattice
- Yes: Every finding to its source
Holds up in an audit
- Spreadsheets
- Partly: Depends on the author
- Your QMS
- Partly: Proves it was filed
- ChatGPT
- No: Nothing to verify
- Lattice
- Yes: Full evidence chain
Learns across cases
- Spreadsheets
- No: Tribal knowledge
- Your QMS
- No: Records don't connect
- ChatGPT
- Partly: Preferences, not causes
- Lattice
- Yes: Carries proven causes forward
Stores your CAPAs
- Spreadsheets
- Partly: A tracker sheet
- Your QMS
- Yes: Its core job
- ChatGPT
- No: No
- Lattice
- Partly: Syncs with your QMS
Based on publicly documented product capabilities as of September 2026. QMS reflects ETQ Reliance and MasterControl. ChatGPT reflects ChatGPT Enterprise with connectors enabled. Capabilities vary by plan and configuration.
From defect to defensible report.
Here's what Day 1 looks like.
No integration project. No six-week rollout. Your team runs a real investigation in your first session.
Connect your evidence
Grant scoped permissions to your QMS, SharePoint, and communication tools. Lattice agentically traverses issue history, syncs attachments, and monitors labels to auto-ingest evidence. No manual data entry.
Conductor investigates
AI reconstructs your timeline, generates fault trees, and systematically tests hypotheses.
Export a complete report
Every hypothesis tested, every piece of evidence linked, full root cause justification. A report you'd be comfortable handing to your auditor or your customer.
MIT • Johns Hopkins • Google X • Northrop Grumman
NVIDIA Inception Program • Autodesk Research Residency • Plug and Play
Lattice handles the work from first signal to final deliverable.
Investigations that start before you do
Connect Lattice to signals and trigger cases automatically. It aggregates lot data, reconstructs timelines, and drafts initial hypotheses.
- Trigger-based case initiation
- Automated evidence collection
- Centralized triage review queue
Automated documentation and reports
Generate technical documentation directly from investigation data. Output standard industry formats with full traceability to source evidence.
- One-click 8D and CAPA export
- Bidirectional data traceability
- Audit-ready, attributed logs
Automated timeline reconstruction
Synthesize events from disparate systems into a structured sequence. Provide automated summaries for rapid team onboarding.
- Multi-system event correlation
- Summary and deep-dive views
- Batch-specific sub-timelines
AI investigation copilot
Integrated tools for evidence retrieval, SQL queries, and image analysis. Identify logic gaps and adversarial weaknesses.
- SQL and image analysis tools
- Adversarial logic review
- Automated task drafting
Data-driven FMEA updates
Propose targeted FMEA revisions based on investigation findings. Identify new failure modes and severity shifts.
- Real-time library cross-referencing
- Proposed updates via inline diffs
- Versioned change history
Multi-factor causal topology
Model failures as interconnected probabilistic dependencies rather than linear chains. Map physical and procedural factors.
- Non-linear causal modeling
- Probabilistic dependency mapping
- Regulatory-grade documentation
And much more
The rest of what Lattice does to streamline investigation workflows and detect systemic risk.
- Living process maps: Proposed updates with inline diffs learned from each investigation.
- Pattern detection: Recurring failures flagged across lots, lines, and sites.
- Multimodal analysis: Native processing of defect photos, micrographs, and line footage.
- Data requests: Automated evidence collection from suppliers and operators.
A weak investigation costs weeks. Lattice gives up to 80% of them back.
An investigation that closes on the wrong cause looks finished on paper. The bill arrives later.
- Day 0Day 0
Deviation logged: particle count out of spec on Line 2.
- Day 9Day 9
Closed as “operator error.” CAPA passes, on paper.
- Month 5Month 5
The same defect returns.
The failure comes back
The failure comes back - Month 5Month 5
Three engineers spend two weeks reconstructing what happened.
Weeks of engineering time
Weeks of engineering time - Month 7Month 7
An auditor asks how “operator error” was proven.
A finding on your record
A finding on your record - Month 8Month 8
Customer escalation. 8D requested.
Customer trust erodes
Customer trust erodes
Your team runsinvestigations a month, each takingengineering hours, at$an hour.
Investigations per month × 12 × engineering hours each × 80% × hourly cost.
Bring us your hardest
open investigation
Quality directors, CAPA owners, and failure analysis leads use the first session to run a real case, not a canned demo. Bring the one that has been open longest. We'll show you what Lattice finds in it, and where the evidence trail leads.