The quality intelligence platform for manufacturing.
Investigate failures with AI-guided RCA, monitor your processes with real statistical control, and keep everything your plant learns in one living knowledge base.
RCA, CAPA, 8D and SPC are live today — evidence-cited, always signed off by your team — and every analysis you resolve compounds into knowledge the next one starts from.
Not marketing numbers — capabilities shipped in the product today, and verifiable in a live demo.
One platform. Six ways in.
Every module reads from — and feeds — the same knowledge core. Start where it hurts most; the rest is already connected.
Root Cause Analysis
LiveAI-guided investigations with 5-Why, Ishikawa and evidence-cited findings — your team always signs off.
ExploreSPC & Process Quality
LiveControl charts with all 8 Nelson rules, capability confidence intervals, Gage R&R and conversational statistics.
ExploreKnowledge Base
LiveYour resolved cases, golden RCAs and documents — embedded at onboarding, searchable, resurfaced in every analysis.
ExploreCAPA & 8D
LiveCorrective actions tracked to closure, and structured 8D reports built from the same evidence.
ExploreIncidents & Monitoring
LiveIncident intake with similar-case search, plus autonomous detectors that flag drift — or a sensor gone silent.
ExploreIntegrations
LiveBring measurements and history in from the systems you already run — CMMS, ERP, historians and files.
ExploreExtraordinary knowledge generators.
Poor knowledge re-users.
Every shift, your plants produce world-class failure-and-solution knowledge — investigations, corrective actions, hard-won fixes. Then it scatters. Into PDFs, spreadsheets, CMMS tickets, ERP fields, and the memory of an engineer who retires next quarter.
So the same failures get re-investigated from scratch, plant after plant, year after year — as if no one had ever solved them before.
You never start from an empty page.
The knowledge your organization already holds is embedded from day one. So the moment a new incident appears, the relevant prior experience is already assembling around it — value from your first analysis, not in six months.
Built on your own knowledge
Bring the experience your organization already holds and it is embedded at onboarding — so your first analysis draws on your own resolved cases, not six months of data entry.
Relevant, not generic
It draws on your organization's actual resolved experience — the failures your plants really had, not boilerplate advice.
Right where you work
Surfaced inside the analysis your engineers already run — in context, with nothing extra to search or open.
Statistics honest enough to say “not enough data.”
Control charts, capability and measurement-system analysis are computed — never guessed. A signal becomes an interval, and an interval becomes a proposed study your engineers decide to run.
The interval decides, never a lone number
Every capability number ships with its confidence interval, and the decision figure is the conservative bound — never a lone point estimate. When the data is thin, the engine refuses instead of guessing.
Deterministic engines, not model guesses
The AI never touches your math. Control charts, capability, Gage R&R and every test run on deterministic engines. The AI explains and proposes — it cannot compute a number into existence.
From signal to a pre-declared study
From signal to action: a qualifying excursion proposes an investigation or a pre-declared statistical study — the analysis is declared before any number is computed. Opt-in, flag-gated rollout, and a person always decides.
Where AI does the work — and where your team decides.
AI is the enabling technology — applied with rigor, never left to guess. Here is exactly where it works for you, and where your engineers stay in control.
Read & structure your history
AI reads your scattered PDFs, documents and notes and turns them into structured Problem → Cause → Solution knowledge.
You review and curate what becomes trusted, golden knowledge.
Recall the right prior experience
AI links related failures across lines and sites, and surfaces the most relevant cases the moment a new analysis starts.
Every match is traceable to its source — you decide what is relevant.
Weigh what actually works
Advanced analysis goes beyond “similar cases” to weigh which corrective actions genuinely prevented recurrence.
Confidence is calibrated and shown honestly — thin data reads as low confidence, never false precision.
Keep every investigation rigorous
AI keeps each analysis structured and consistent — proven 5-Why, Ishikawa and 8D method, behind a quality gate.
Your engineers own the judgment, the conclusions and the final sign-off.
AI assists; it never has the last word. It does not invent root causes, does not train on your data across customers, and never replaces your engineers — a person signs off on every result.
See how the technology works →Many workflows. One engine underneath.
Every use case is a thin layer over the same compounding knowledge core. Maturity at a glance — what's live today, what's rolling out, and what's next.
The moat isn't a feature. It's the substrate.
A canonical, trusted knowledge core that gets sharper with every analysis — and shows up where it matters for the business.
Knowledge that learns, not just stores
A document store gets bigger. RCAintel is built to get smarter — the effectiveness loop, rolling out today behind a flag, learns from recurrence evidence which solutions actually prevent the next failure.
One canonical trusted substrate
Not five disconnected tools. A single de-duplicated Problem → Cause → Solution store every module draws from — RCA, SPC, CAPA and the knowledge base — so trust compounds instead of fragmenting.
Built for the floor and the auditor
No-blame by design, fully traceable, export-ready. Engineers trust it because it never points fingers; auditors trust it because every conclusion cites its evidence.
// directional — actual impact depends on your data, processes and how the knowledge is used
Built for high-complexity manufacturing.
Where failures are costly, recurrence is unacceptable, and every analysis must stand up to scrutiny.
Automotive
Tier-1 lines, weld and stamping, IATF 16949 traceability under volume pressure.
Aerospace
AS9100 discipline, zero-defect tolerance, and full chain-of-evidence on every finding.
Pharma
GMP deviations and CAPA, validated processes, audit-ready by construction.
Food & Beverage
HACCP controls, contamination recalls, hygiene and root-cause traceability across sites.
Heavy Industry
Steel, cement, chemicals — high-energy assets where downtime runs into millions.
Electronics
SMT yield, solder and field-return failures, sub-micron defect investigations.
Questions, answered.
Mostly from you, and no. During onboarding we ingest what your organization already holds — past reports, resolved cases, documented fixes — so your very first analysis builds on your own experience rather than a blank slate. A curated industry foundation can supplement it, but your organization's proven experience always takes precedence — value from analysis one, compounding return.