Upcoming Webinar
Signal or Noise? How Agentic AI is Redefining Recurring Defect Identification
See how AI trained on 10+ years of aviation engineering experience helps Maintenance and Engineering teams catch chronics before they become costly AOG events.
| Wednesday, September 30, 2026 | |
| 9:00 AM GMT (London) / 10:00 AM CET (Amsterdam) / 12:00 PM GST (Abu Dhabi) | |
| 11:00 AM CT (Chicago) / 12:00 PM ET (New York) | |
| 45 minutes |
Where teams get stuck...
Right now, somewhere in your operation, an alert just came in from a third system that doesn't talk to the other two. Someone is deciding whether it's nothing, or the start of an AOG that costs you the aircraft for a week.
Gathering the data isn't necessarily the hard part. Most operators have plenty of data. Acting on it fast enough, before engineering teams spend weeks on an investigation process to cross-reference data sources and confirm repeat-defect candidates before a task card can be issued, or dollars are wasted fixing the wrong parts, is where teams get stuck.
Many aviation tools simply make more data visible. This overwhelms the user with data fatigue and often hides the most severe chronics from view. Data gets aggregated from a variety of sources, but it's rarely connected in a meaningful way. Logbook data isn't assessed alongside early sensor signals, so maintenance and engineering teams are left with real gaps in visibility.
The next-gen defect detection
At Veryon, we've built AI trained on more than a decade of aviation engineering experience, gated by human review at every step, designed to help your team maximize fleet uptime. Every model change is tested against Veryon's Verified Data Set before it ships — independently reviewed, human-confirmed maintenance outcomes drawn from roughly 30% of the world's fleet. That discipline is what's driven accuracy improvements to the highest in the industry: one customer saw accuracy improve 2x in the initial rollout.
See the technology that's already delivering results. Join us for a 45-minute session highlighting our next-gen defect technology. You’ll leave understanding:
- How generative AI turns surfaced results into decisions operators can act on, with every suggestion gated through human review
- Why tuning to your fleet (not a generic model) is what lets AI catch real, recurring threats by linking confirmed maintenance events with fault data and rogue part detection
- A live look at our new Defect Analysis platform in action: from natural-language investigation of fleet defects to AI-generated recurring chronic narratives pulled from real outcomes across the fleet
Get a front-row seat to what's next in defect detection. Save your spot today.
Register here
Presenter
Vinay Kumar is Chief Technology Officer at Veryon, bringing over 20 years of technology leadership experience including modernizing enterprise systems at Equifax and CIBC.
CTO
Presenter
Victor Lee is an Enterprise Sales Engineer at Veryon with over two decades of aircraft maintenance and customer success experience, specializing in translating operational challenges into technical solutions for airline teams.
Enterprise Sales Engineer
This webinar is ideal for
Maintenance + Engineering Leaders
Aviation leaders who need faster, more efficient ways to capture repeat defects.
VP/Directors of Line Maintenance
Operators who are part of the team responsible for minimizing delays and returning aircraft to service.
Heads of Reliability
Leaders who need to spot patterns, reduce repeat defects, and drive continuous improvement in aircraft availability.
See what our solutions can do for you
Work Center
Streamline work order management and invoicing processes to expedite aircraft return-to-service.
Maintenance Tracking
Optimize fleet maintenance with real-time dashboards, smart workflows, and automated airworthiness updates.
Inventory Management
Control your entire inventory life cycle with real-time information on requests, purchasing, exchanges, and more.
Flight Operations
Keep flight scheduling and trip planning moving effortlessly with fully integrated flight ops.
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