Launched January 14, 2025
Airside Labs
Trust Your AI. Before It's Tested in Court.
Subscription170 impressions#49 of its week
Airside Labs helps enterprises in regulated industries uncover AI compliance risks before they lead to fines, lawsuits, or reputational damage—using aviation-grade safety testing built for mission-critical systems.
Airside Labs helps regulated travel and aviation enterprises test AI compliance and safety before deployment.
- for
- Enterprises in travel, aviation, and other regulated industries building AI systems
- pricing
- contact sales
Key features
6 features of Airside Labs
- Build & Validate AI Systems — Design, build, and rigorously validate AI workflows against real-world edge cases before production.
- Safety Benchmarking — Measure AI performance against domain-specific benchmarks like the Pre-Flight aviation benchmark.
- Compliance Reporting — Generate detailed reports covering MITRE, OWASP, NIST, GDPR, and EU AI Act compliance.
- Advisory Services — Provide hands-on strategy, technical due diligence, and product direction for AI projects.
- Open Benchmarks & Datasets — Publish open-source datasets and benchmarks for the wider AI safety community.
- Ongoing Monitoring — Continuously monitor, iterate, and advise as regulations and systems evolve.
Use cases
- Validate a customer-service AI chatbot for aviation compliance
- Assess safety of agentic workflows over legacy flight data
- Generate compliance evidence for EU AI Act before product launch
- Benchmark AI models against aviation-specific security scenarios
Airside Labs FAQ
What industries does Airside Labs serve?+
It focuses on travel and aviation companies that operate in regulated environments.
How does Airside Labs ensure AI safety?+
It engineers AI against real-world edge cases, safety constraints, and regulatory expectations, then benchmarks results.
What compliance frameworks are covered in reports?+
Reports include coverage of MITRE, OWASP, NIST, GDPR, and the EU AI Act.
Can Airside Labs help existing AI systems?+
Yes, they can pressure-test and validate AI systems you already have.
What deliverables are provided after validation?+
They provide evidence of coverage, failure modes, and compliance mapping for deployment confidence.
Summarized by DevHunt from airsidelabs.com · Oct 4, 2026. Details may change; check the official site.
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