Pick the use case
We start from your operation and your data, and use our atlas of 6,700+ aviation AI use cases to find the problem where a prototype will show its value fastest.
Cert: ZC023940
AI prototypes and agent tools for Aviation & Travel
We build working AI prototypes on real aviation data, and we publish the tools your own AI agents need to get aviation facts right. Led by engineers with 25+ years in safety-critical aviation systems.
Or browse 6,000+ aviation AI use cases
Trusted by teams across travel & aviation
Contributing to industry standards
What We Do
We build AI for travel and aviation teams, and we give their agents the data to work with.
AI Prototypes
We 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 worksAgent Tools
A connector for Claude, ChatGPT and any MCP client. It gives 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 agentAdvisory & Open Research
Advisory 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 LabsGive your agent aviation tools
General assistants guess at aviation codes and get them wrong. Our connector gives Claude, ChatGPT or your own agent checked answers instead.
A use-case atlas
6,700+ aviation AI use cases by role and organisation type, each with the data it needs and how fresh that data has to be.
Identity lookups that hold up
Airports, airlines, aircraft types, registrations and flight numbers resolved for the date you ask about, with confidence and provenance.
An EASA screen
Use cases screened against the EASA AI-level and hazard framework, so you can see early what assurance one will need.
Things you can ask once it is connected
- Using Airside Labs, which airline operated flight SN2103 on 1 March 1995, and what is its ICAO form?
- Using Airside Labs, check these against each other for 1 June 2020: N803AL, Mode-S aaed0d, type B738, airline AA.
- Using Airside Labs, which aircraft held registration N803AL in 1990, and which holds it now?
- Using Airside Labs, what AI use cases exist for an airline revenue manager, and what data does each one need?
Free plan, no card. See all the tools and pricing
How a prototype gets built
Build the prototype
We build a working system on your data: an agent, a retrieval assistant, a fine-tuned model or an analytics tool. You get something your team can use, not a slide deck.
Test it properly
We measure the prototype against the edge cases and safety constraints of your sector, and write down what it gets right, where it fails and what the regulations expect of it.
Scale it or stop
You finish with evidence to decide. If the prototype earns its place we help you take it to production, and we stay on as advisers while it grows.
Why 40% of Gen AI projects will fail
That doesn't have to be your GenAI project. It's not scary if you take the time to do things properly.
