AI-Based Debriefing Platform Transforms Pilot Training with Real-Time Analysis
- 12 minutes ago
- 3 min read
Published: 2 April 2026 Written by: Shashwat Dwivedi
Navi AI has introduced a generative AI platform that automates post-flight debriefing, enhancing pilot training through real-time data analysis and personalised feedback.

A new generative AI-based platform capable of producing detailed post-flight debrief reports is being developed by US-based startup Navi AI. The company recently secured $6 million in funding from investors including United Airlines Ventures, signalling growing confidence in AI-driven aviation training solutions.
The system centres around a compact onboard device that captures cockpit audio alongside aircraft data, traffic, and weather inputs. This information is transmitted after the flight, where a purpose-built large language model analyses intent, behaviour, and performance, aligning insights with each flight school’s training syllabus.
“The platform figures out who’s flying the airplane, when was the transfer of control, which manoeuvres are being demonstrated, which are being flown by the student, and figures out where the plane is. All of this is traditional FOQA analysis and is not AI,” said Navi founder and CEO Nikola Kostic.
“But when it comes to meshing all of that together to get the context, that’s where the AI comes in. Just like the NTSB does when there is a crash, we do the exact same thing, but we do it with AI that is getting scarily good.”
Navi’s first commercial deployment began in September 2024 with Sling Pilot Academy, a US Part 141 flight school. Since then, the platform has logged over 55,000 flight hours annually, supporting both students and instructors from ground school through to post-flight review.
Adoption is expanding across major institutions, with the University of North Dakota, Purdue University, Delta State University, and the US Air Force Test Pilot School at Edwards Air Force Base evaluating or implementing the system. Navi is currently working under a $1.27 million contract to adapt the platform for use on the Northrop T-38 fleet.
The platform integrates Standard Operating Procedures (SOPs) as a baseline for evaluation, while ongoing calibration, typically over a week and around 100 flights, allows the system to refine its accuracy beyond predefined parameters.
Kostic highlighted the operational benefits: “We’re reducing workload because instructors don’t have to take notes, and their debriefs can be significantly improved. All of this is saved for the student to review later.”
Students can also interact with an AI assistant grounded in SOPs and FAA regulations, allowing them to ask questions, review performance, and access targeted learning resources.
As AI continues to integrate into aviation training, platforms like this highlight a shift toward more data-driven, personalised, and scalable pilot development models.
Key Facts
Navi AI secured $6 million in funding, backed by investors including United Airlines Ventures
The platform uses onboard data capture and AI analysis to generate automated training debriefs
Over 55,000 annual flight hours logged at Sling Pilot Academy using the system
Adoption includes major US institutions and the US Air Force Test Pilot School
AI reduces instructor workload and provides personalised, SOP-aligned training insights
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Author: Shashwat Dwivedi Aviation staffing and consultancy insights LinkedIn



















