We publish the tools your own AI agents need to get aviation facts right, and we build working AI prototypes on real aviation data. Led by engineers with 25+ years in safety-critical aviation systems.
Trusted by teams across travel & aviation

Contributing to industry standards
We build AI for travel and aviation teams, and we give their agents the data to work with.
Agent Tools work with Claude, ChatGPT and any MCP client. They give your agent a catalogue of 6,700+ aviation AI use cases with their data needs, an EASA AI-level screen, and lookups that resolve airports, airlines, aircraft and flights correctly for a given date. Free to start.
Connect your agentWe take one operational problem and build a working prototype on your data: agents over legacy systems, fine-tuned embedding and language models, RAG and data-analytics assistants. Each one is tested against real edge cases, so you know what it can and cannot do before you scale it.
How a prototype worksAdvisory for founders and leadership teams on AI strategy, technical due diligence and product direction. Our research is published in the open, including the Pre-Flight aviation benchmark used by the wider community.
About Airside LabsWe research how AI behaves in safety-critical settings and share what we learn.
Open-source aviation AI benchmark with 300+ questions on ICAO standards, airport operations and safety procedures, now on the UK AI Security Institute's Inspect AI framework.
See the benchmark1,776 adversarial test cases against commercial AI systems processing standard aviation data formats. 43% of attacks produced incorrect safety-critical outputs.
Read the white paperWe take one operational problem in aviation or travel and build a working AI system for it. Then we test it properly, so you can decide whether to scale it with evidence in hand.