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Automotive and more ...

Clause-Level Compliance Assessment.
In Minutes, Not Months.

OSCAR ingests all kind of formats such as PDF exports, DOCX, JPEG and other artifacts
delivers deterministic gap analysis for Safety Critical systems, via a domain-trained RAG architecture without manual pre-processing or scheduled assessor visits.

Book a Demo or Request Access ↓ Request Sandbox Access (Rail/Def)
30% ⓘ [ Methodology ] Calculated by contrasting manual SysML-to-standard traceability mapping against OSCAR's automated RAG ingestion. A standard 10-engineer team typically spends ~1,230 hours/year on manual compliance prep. OSCAR reduces this by automating baseline checks, delta tracking, and evidence pack generation.
Engineering hours reclaimed from compliance overhead
50% ⓘ [ Methodology ] Based on TechTuneAI pilot telemetry. OSCAR eliminates the need for expensive 'pre-assessment' discovery rounds by surfacing clause-level gaps internally. On a standard 1-year project tracking 3 standards, this reduces external assessor visits from an average of 4 rounds to 2, cutting approximate €30,000/audit fees in half.
Reduction in external assessor cost per project
<10min
From artifact upload to full clause-level gap report
24/7
Continuous monitoring — no scheduled audit window needed
// Audit-Ready Outputs

Download Sample Reports

See exactly what OSCAR generates. These samples demonstrate deterministic clause-level traceability and remediation guidance.

ASPICE PAM 3.1 Gap Report

ASPICE compliance report generated by OSCAR, highlighting process area mapping, capability scoring, and requirement-level traceability.

Download ASPICE Sample Report

Automotive Functional Safety Assessment Report

ISO 26262 compliance report generated by OSCAR, covering clause-level findings, ASIL rationale, and prioritized remediation recommendations for functional safety requirements.

Download ISO 26262 Sample Report
// System Architecture

How OSCAR Processes Your Artifacts

A deterministic six-stage pipeline. Each node is isolated and designed for auditable, clause-level output.

STAGE 01 Artifact Ingestion SysML · ReqIF · EA XMI PDF · DOCX · XLS · PNG Isolated tenant · AES-256 STAGE 02 Parse & Normalize Apache Tika · OCR pipeline Format-agnostic normalizer Structured JSON output STAGE 03 · CORE Embed & Chunk Domain-trained encoders Vectorized clause context 32K token window STAGE 04 · CORE RAG Retrieval Single-tenant vector DB Practitioner-tuned retriever Source-linked evidence KNOWLEDGE BASE Standard Ontologies ASPICE PAM 3.1 ISO 26262:2018 ISO 21434 · SOTIF Verified by domain experts STAGE 05 Deterministic Scoring Clause-level gap mapping ASPICE capability levels ISO 26262 ASIL logic STAGE 06 · OUTPUT Report & Evidence Pack PDF audit-ready report JSON export Traceable remediation log
View detailed technical specifications
// Resource Optimisation Benchmarks

Calculate Your Engineering Budget Recovery

Adjust your project parameters to model internal resource reclamation and external assessor fee reduction. Methodology based on TechTuneAI internal OEM cost-modelling.

// Input Parameters

Project Duration (years)1
Number of Standards3
Engineers on Project10
// Net Budget Savings
€0
// Engineering Hrs Reclaimed
0
// Cost Without OSCAR ⓘ [ True Cost of Compliance ] This figure calculates the massive hidden overhead of compliance: manual evidence preparation, traceability mapping, active assessment hours, and post-audit remediation rework (at an industry baseline rate per internal engineer).
€0
// Cost With OSCAR
€0
// Deployment options

Choose the deployment model that fits your environment

Same OSCAR engine. Three deployment options.

Air-Gapped / On-Prem

Highest Isolation
  • Runs fully inside your infrastructure
  • No outbound calls during inference
  • Best for classified or strict NDA projects

Private VPC

Enterprise Standard
  • Dedicated single-tenant cloud environment
  • EU data residency + enterprise access controls
  • Balanced security and speed of rollout

SaaS — Managed

Fastest Onboarding
  • Fastest setup with managed operations
  • Tenant isolation and encrypted processing
  • Ideal for pilot and rapid adoption
// Pilot Evaluation Feedback

Engineering Teams on OSCAR in Production

Feedback from early pilot participants. All engagements conducted under NDA with non-confidential artifact sets.

[ On Detection Accuracy ]

"Running OSCAR on our SWE work products surfaced 14 non-conformities against ASPICE SWE.2 and SWE.3 in under 40 minutes. Each finding traced directly to the specific PA outcome that was not satisfied. The same scope would typically occupy two senior systems engineers for the better part of a week."

Lead Systems Engineer Tier-1 Automotive Supplier · Munich, Germany
[ On Security Architecture ]

"Our IT security policy strictly prohibits cloud-based processing of any OEM-originated artifacts. OSCAR's on-premise deployment ran entirely behind our firewall — no external model calls, no data leaving the perimeter. That architecture was a hard prerequisite before we could even open the tool to our compliance team."

Head of Engineering IT Tier-2 Automotive Supplier · Dresden, Germany
[ On Supplier Assessment ]

"We used OSCAR to run a baseline ISO 26262 functional safety assessment against our supplier's system design specification. The clause-level gap report — referencing specific Part and section numbers — gave our team a precise action list the same afternoon. It cut at least two rounds of back-and-forth with the supplier."

Functional Safety Manager OEM · Stuttgart, Germany
[ On Continuous Monitoring ]

"The delta report between two consecutive assessment runs shows exactly which gaps were closed and which remain open — with full traceability to the artifact version that resolved each finding. That level of auditability completely changed how our team manages ASPICE compliance progress across development sprints."

Compliance Lead ADAS Development Team · Munich, Germany
// Standards Roadmap

A Core Engine Built for Any Safety-Critical Domain

Extending to a new standard means loading a verified ontology into the RAG architecture — the inference engine does not change.

Domain Status Supported Frameworks Deployment
Automotive 🟢 LIVE TODAY ASPICE PAM 3.1 · ISO 26262:2018 · ISO 21434:2021 · SOTIF On-prem · VPC · SaaS
Railway ⏳ Request Sandbox Access EN 50126 · EN 50128 · EN 50129 · EN 50716 SaaS
Defence ⏳ Request Sandbox Access DEF STAN 00-055 · DEF STAN 00-056 · IEC 61508 SaaS
Aerospace 🟡 Planned DO-178C · DO-254 · ARP4754A · EASA CS-25 SaaS
Industrial 🟡 Planned ISO 13849 · IEC 62061 · ISO 12100 SaaS
// Our Team

Built by Experts Who Lived the Problem

OSCAR was created by a team of hands-on experts with extensive experience in safety-critical product and project development — spanning functional safety (ASIL-D), AI and machine learning applied to hardware and software compliance, for end-to-end programme delivery for leading global, German OEMs and Tier-1 suppliers.

// Programmes & Organisations
Argo AI VW Group BMW Daimler Volvo Cars Ford GM FCA / Stellantis Valeo Aptiv Elektrobit Bosch
// Get Started

Request Access or Book a Demo

We respond within 48 hours.

// What are you looking for?

// Book a Live Demo

Prefer to see OSCAR in action first? Book a 30-minute guided walkthrough — we'll run the engine live on a sample document set relevant to your domain.

📅
Schedule a Technical Demo

Select a time that works for you directly in our calendar. Available slots across CET / GMT / EST time zones.

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