Zymbly Does the Paperwork So Aircraft Technicians Can Fix Planes

The Macro: Aviation Maintenance Has a Paperwork Problem and a People Problem

There is a global shortage of aircraft maintenance technicians. Boeing projects the industry needs 690,000 new technicians over the next 20 years. The ones who are working today spend a staggering amount of their time not working on aircraft. They are searching through maintenance manuals, looking up part numbers, writing action notes, and auditing documentation.

Aviation maintenance documentation is among the most heavily regulated in any industry. Every action must be recorded. Every part must be traceable. Every troubleshooting decision must reference the correct manual, procedure, and regulatory framework. The paperwork exists for good reasons. Aircraft safety depends on it. But the volume of administrative work pulls skilled technicians away from what they are actually trained to do.

The existing software in this space is old. Systems like AMOS, Ramco, and TRAX handle maintenance tracking and records management. But they are workflow tools, not intelligence tools. They store data. They do not help technicians find answers faster or generate documentation automatically.

The Micro: 25 Years of Aviation Experience, Compressed Into Software

Ben Jacob, Azmat Habibullah, and Robbie Bourke founded Zymbly. Robbie brings 25 years of aviation experience including roles at Airbus and Virgin Atlantic. Ben previously led Applied AI at Multiverse and worked on airline operational recovery. Azmat holds a Master’s in Mathematics from Imperial College London with enterprise software experience in regulated industries.

That founding team is unusually well-matched to the problem. You need aviation domain expertise to build a product that technicians will trust, engineering talent to build the AI, and experience with regulated industries to handle the compliance requirements. Zymbly has all three.

The product is an AI copilot for aircraft maintenance that does four things. Troubleshoot: it searches manuals, local procedures, and past work orders to find answers. Find Parts: part number lookup. Draft Action Notes: documentation generation. Audit Documentation: quality control for maintenance records.

The numbers they report are compelling. A 5% reduction in maintenance downtime, 70% time savings on troubleshooting, and 45% increase in document QC accuracy. In aviation, a 5% downtime reduction translates directly into more flights, more revenue, and lower costs. The ROI calculation is straightforward.

Critically, Zymbly requires human sign-off on all actions. This is not optional in aviation. No airline will deploy an AI that makes autonomous maintenance decisions. The tool assists. Humans decide. That design choice shows the team understands their market.

The Verdict

Zymbly is building for a market that desperately needs this product. The technician shortage is real, the paperwork burden is real, and the regulatory requirements mean that any solution needs to be built by people who understand aviation. The founding team checks every box.

The risk is sales cycle length. Airlines and MRO shops are notoriously slow to adopt new technology. Regulatory approval processes for maintenance tools can take months. The question is not whether the product is valuable but how long it takes to get through procurement.

In 30 days, I want to see pilot program results. In 60 days, the question is whether any airline or MRO has committed to a full deployment. In 90 days, I want to know about regulatory engagement. If aviation authorities are comfortable with Zymbly, adoption accelerates. If they raise concerns, it stalls.