Detect documentation drift in real-time. Generate audit-ready work products. Reduce compliance burden by 50% while catching gaps that cost 100x more to fix in production.
AI-Powered Compliance Intelligence — Built for ISO 26262, Automotive SPICE, ISO/SAE 21434, DO-178C, IEC 62304, IEC 61508, EN 50128
Software complexity grew 42% while productivity increased only 6%. Modern vehicles contain 100-150 million lines of code across 70-100 ECUs—and the work products multiply accordingly.
A single OEM may have 60+ million requirements across vehicle lines. Each requirement cascades into design docs, code, and test cases. No audit can review 100%—sampling means gaps hide in plain sight.
61% of defects stem from incorrectness or incompleteness. 70-85% of rework costs trace to requirements defects. A spec with 10,000+ requirements is called a "time bomb" with errors guaranteed.
Software recalls surged 80% from 2023-2024. Ford projects $5B in 2025 recall costs. Boeing 737 MAX exceeded $18.7B. Only 40% of R&D execs feel prepared.
Audits use statistical sampling—typically 25-60 items from populations of thousands. The only way to eliminate sampling risk is to review 100% of artifacts. At scale, that's impossible manually.
Mandatory July 2024
OTA Update Traceability
Aug 2025 - 2027
Functional Safety
OEM Requirement
Purpose-built workflows for safety-critical software development, code reuse, and continuous compliance.
Generate comprehensive work products from existing codebases. Perfect for code reuse scenarios.
Integrate into CI/CD pipeline to detect documentation drift and compliance gaps with every commit.
Update documentation as you code. VS Code extension detects changes and suggests updates instantly.
Identify and remediate compliance gaps 4-8 weeks before formal ASPICE or ISO 26262 assessment.
Built specifically for safety-critical industries with unique differentiators.
Zero tools exist for code-to-documentation semantic gap analysis in safety-critical industries. GapLensAI is first to market.
Every generated artifact traces back to source code with clear provenance based on our patent-pending methodology.
Cloud SaaS or on-premise Docker for air-gapped environments. Bring Your Own LLM—works with Azure OpenAI, AWS Bedrock, Google Gemini, OpenAI, Ollama, LMStudio, and more.
Quick answers for teams evaluating GapLensAI.
No. GapLensAI is designed to help engineers and reviewers work more effectively at scale by reducing blind spots and surfacing gaps earlier. Human judgment remains essential for all safety-critical decisions.
Absolutely. Reuse is common—but reused software often carries documentation debt. GapLensAI helps generate and improve work product quality so verification and automation don't stall on legacy code.
GapLensAI offers a fully containerized on-premise deployment via Docker. It works with local LLMs like Ollama, ensuring your code never leaves your secure environment.
Request a demo and we'll tailor it to your standards and workflows. Many teams start with a single subsystem or critical area (like pre-audit readiness) to see value quickly.
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