QualityOS
Product overview

QualityOS — built for automotive QA, not for everyone.

A specialised AI assistant. Knows the standards (IATF 16949, VDA 6.3, AIAG-VDA), the methods (8D, PFMEA, 5 Why, Ishikawa) and the customers (VW, Stellantis, Ford, BMW, JLR, Toyota, Volvo). Walks you step by step.

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Three pillars

AI Quality Assistant

  • Containment first, then root cause — every time
  • One question at a time, no avalanche of prompts
  • 8D progress bar tracks D0→D8 automatically
  • Drafts customer email in DE / EN / FR / IT on demand

Audit Preparation

  • IATF 16949 + VDA 6.3 question banks by clause
  • Evidence pack generator (which records to pull where)
  • Top-30 internal findings by industry (electronics, plastics, metalwork)
  • Mock audit interview mode — practise before the auditor lands

Tools Library

  • 8D Report Generator (D0–D8, PDF export, VW/Stellantis/Ford formats)
  • PFMEA Brainstorm — AIAG-VDA 2019 S/O/D + controls in one screen
  • Ishikawa (Fishbone) Diagram — 6M categorisation, interactive
  • 5 Why Root Cause Analyzer — AI-guided escalation detection
  • Cases — every conversation as a persistent case thread

The more you upload, the smarter it gets

QualityOS isn't a generic chatbot answering from Wikipedia. Upload your Control Plans, PFMEAs, customer specifications, past 8Ds and audit findings. The AI references your processes when it answers — like a senior colleague who actually reads your binders before opening their mouth.

Without Knowledge Base

“Describe the failure mode in more detail…”
Generic guidance, no link to your reality.

With Knowledge Base

“Your Control Plan rev. C lists this characteristic as CC. Your escalation matrix says SQE notification within 2 hours. Has the Quality Manager been informed yet?”

Strict tenant isolation — your documents are visible only to your users, never to any other customer.

EU-hosted, GDPR-compliant

Data hosted in Supabase Frankfurt. Row-level security at the database tier — every query scoped to your organisation. AI providers (Anthropic) never see other customers' data in your prompts. SOC 2 Type II upstream (Anthropic, Supabase, Vercel, Cloudflare, Stripe).

We do not train models on your data. Full DPA available on request to legal@qualityos.app.

Common product questions

Pricing questions live on the pricing page. These are about how QualityOS works for a quality engineer at an automotive Tier 1/2 supplier.

How does the Knowledge Base stay isolated between companies?
Every document you upload to your Knowledge Base is written with an explicit org_id (your company identifier). PostgreSQL Row-Level Security (RLS) policies enforce the org_id filter before every SELECT, INSERT, UPDATE and DELETE — so physically no other organisation can see your rows, not via buggy code, not via SQL injection, not via us in support. The Anthropic API receives only the content of your documents in the prompt; prompts are not retained for model training (per Anthropic Commercial Terms and DPA).
Which 8D output formats can QualityOS generate?
Currently supported 8D output formats: VW 8D-Bericht (for the CATS portal), Stellantis SCAR (for eSupplierConnect), Ford G8D (for the Ford Supplier Portal), generic AIAG 8D (universal D0–D8 + checkpoints). PDF export in every case. The AI can rewrite the content from one format to another if the customer changes the requirement at the last minute. Mercedes-Benz NeP, BMW QPS and JLR formats are on the Q3 2026 roadmap.
How does QualityOS differ from ChatGPT for a quality engineer?
ChatGPT knows 8D, PFMEA and IATF 16949 at Wikipedia depth — it can define them. It fails on operator-specific details: which field VW requires in CATS row 4, what timing Stellantis SCAR enforces under the new SQAM, whether a particular finding is Wiederholfehler-eligible. QualityOS is trained on automotive customer-specific requirements and has a per-tenant Knowledge Base where you upload your Control Plans, PFMEAs and past 8Ds — so it answers about *your* process, not generic theory.
Which standards and customer-specific requirements does the AI know?
Standards: IATF 16949, VDA 6.3 (process audit), VDA 6.5, VDA 6.7, VDA MLA, AIAG-VDA 2019 FMEA, AIAG PPAP and APQP, ISO 9001, ISO 14001, ISO 17025, ISO 26262, ISO/SAE 21434, Automotive SPICE, AIAG CQI series (CQI-9 / 11 / 12 / 15 / 23). OEM CSR: VW Group (CATS, Formel Q, PPF), Stellantis (SCAR, SQAM), BMW (QPS, GS-Normen), Mercedes-Benz (NeP, MBN, MBST), Daimler Truck, Ford (Q1, G8D, MMOG/LE), GM (PRR, BIQS), JLR (Nitra), Volvo Cars, Volvo Trucks, Renault-Nissan, Hyundai-Kia, Toyota (Kolín), Suzuki, Tesla, Iveco/DAF, Chinese EV (BYD, Geely, NIO, XPeng).
How does onboarding for a new company work?
Onboarding has 3 steps and takes ~5 minutes. Step 1: customers (VW, Stellantis, BMW, Mercedes, Ford, JLR, others), certifications (IATF 16949, ISO 9001, VDA), product segment (lighting, electronics, plastics, metalwork). Step 2 (optional): upload Control Plans, PFMEAs, past 8Ds, customer templates — the more you upload, the sharper the AI gets. Step 3: invite team members (Team and Business plans). If you leave after Step 1 you can continue later — a dashboard banner reminds you the Knowledge Base is 0% complete.
What languages does the AI assistant understand and respond in?
The AI auto-detects the user language and responds in the same. Currently fully supported: Slovak, Czech, English, German. Customer-specific email drafting works in 4 languages (Slovak, English, German, Italian) — automatically chosen by OEM (Mercedes → German, JLR → English, Stellantis Turin → Italian). The marketing website is in Slovak and English; DACH expansion (German marketing) is planned for Q4 2026.
What is the difference between PFMEA Brainstorm and a full PFMEA Builder?
PFMEA Brainstorm is a single-screen tool: feed in one process step, the AI proposes failure modes + Severity / Occurrence / Detection ratings + controls per AIAG-VDA 2019. You copy the result as TSV into your master PFMEA (Excel or APIS IQ-RM). No database CRUD, no projects — just fast thinking through risk. A full PFMEA Builder (multi-row editor, project save, PDF export) is on the Q3 2026 roadmap.

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