
Before co-founding Zymbly, Ben Jacob taught in Britain and Japan, worked on airline operations, and led Applied AI at Multiverse. His next assignment is close to the aircraft: giving maintenance technicians more time to do the work they trained for.
A business jet flies by the hour. Its repair bills arrive on their own schedule. JSSI built a business around bringing the two together.
A jet can send data across an ocean while its maintenance record waits for a pen. Ultramain has spent decades closing that peculiar gap, one logbook and one mechanic at a time.
A maintenance job can finish before the paperwork does. Veryon has spent half a century shrinking that gap - and is now teaching software to spot the problems that keep coming back.
Aircraft grow old slowly. Brian Sartain has built a career around the less glamorous, more exacting question of what keeps them useful when their original parts become yesterday's business.

He began in airline finance, where one maintenance decision could echo years into the future. Ten years later, the planning software he co-founded had become part of AAR's aviation technology portfolio.
Jet Parts Engineering turned the unglamorous bottlenecks of airline maintenance into a global aftermarket platform. Its playbook is simple to describe and difficult to execute: find the part an operator cannot get, engineer an FAA-approved alternative, keep it on the shelf, and answer the phone.

Zymbly is a UK-based AI startup that builds voice-first copilots for aircraft maintenance technicians - automating troubleshooting, parts lookup, and compliance documentation so mechanics can spend their time fixing planes instead of drowning in paperwork. Backed by Y Combinator (W26) and built by a team with deep roots in aviation and enterprise AI, Zymbly targets an industry facing a global shortage of 43,000 technicians and a maintenance capacity crisis.