Know who belongs in terminal controlarea controloceanic controlthe tower before training starts.
Falcon is a web-based ATC simulation and assessment platform that gives Air Navigation Service Providers objective, data-rich reports on candidate aptitude, at a fraction of the cost of traditional screening.
The Problem
ATC training is expensive. Attrition is unpredictable.
Traditional ATC screening relies on aptitude tests and interview panels that struggle to predict real-world performance. Training can cost hundreds of thousands of dollars per candidate, and washout rates are high.
Our Solution
Study-level simulation, accessible in a browser.
Falcon delivers a realistic, browser-based radar simulation environment backed by our Separation Integrity Engine and voice recognition layer. Every session generates a detailed, objective candidate report.
The Assessment Report
Every candidate, quantified.
Simulator scores, skill grades, and performance-targeted interview questions: one report per candidate, automatically.
How It Works
Three steps from candidate to decision.
Candidates complete a short online course
Structured like a university module, the course walks candidates through ATC fundamentals with reading material and knowledge-check questions. Candidates who don't engage with the material will show it on the simulator.
Candidates complete simulation sessions
Using a browser and microphone, candidates work through a series of progressive radar scenarios: managing real flight strips, issuing voice commands, and handling live traffic.
Evaluators receive a structured report
A detailed per-candidate dashboard shows scores, skills grading, common error patterns, and targeted interview questions, giving hiring panels everything they need to make a confident decision.
The Team
Built by engineers obsessed with aviation safety.
Leads Falcon's simulation environment. A mechatronics engineer currently interning on Tesla's crash analysis team, Matthew brings first-principles rigour to every aircraft dynamics and real-time systems problem.
Ian trained as an ATC student at NAV CANADA, working toward Toronto terminal, responsible for all Pearson arrivals and departures up to FL230 within 26 miles. Falcon is built on what he learned there.
Leads voice recognition and LLM inference. David built the pipeline that takes a controller's spoken words and produces scored, structured ATC instructions, connecting speech transcription to an LLM layer that understands what was meant, not just what was said.
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