platoseedplatoseed
Automates admin for aircraft mechanics
Zymbly AI acts as an AI copiloto for aircraft maintenance, handling admin tasks such as troubleshooting, parts lookup, and documentation so technicians can focus on maintenance. It connects to manuals, maintenance systems, local procedures, and inventory to surface the right information quickly. The platform emphasizes enterprise-grade security, auditability, and regulatory alignment within aviation.
Zymbly integrates data sources (manuals, maintenance systems, local procedures, inventory, and more) through a data ingest layer, then uses an intelligent decision layer to surface actionable information. It analyzes past work orders and manuals to guide technicians, supports parts lookup, drafts action notes, and documents findings. Actions and results are presented via a technician-facing interface, with human sign-off required for every action and immutable audit logs. The system emphasizes aviation-grade security, data sovereignty, regulatory alignment (CAA, FAA, EASA), and a transparent data-use model.
Who it’s for: Aviation maintenance organizations operating under strict regulatory regimes (Part 145, CAME standards) seeking to reduce maintenance downtime and improve documentation quality.
Backed by Y Combinator; emphasizes enterprise-grade security and regulatory alignment
Ben is the co-founder and CEO of Zymbly. Before Zymbly, Ben led Applied AI at Multiverse (backed by GV, General Catalyst, and Index). Ben started his career working with airlines on operational improvement. He worked with one of the world's largest airlines to recover their operations after the pandemic.
Robbie is the co-founder of Zymbly. At Zymbly, he is building AI Agents to automate admin and troubleshooting for maintenance technicians. Robbie has spent 25 years in aviation as an executive, operator, engineering, investor and advisor. He is a qualified Aeronautical Engineer who led design teams at Airbus, was Head of Aircraft Maintenance at Virgin Atlantic, and a Partner in Oliver Wyman Aviation & Aerospace practice helping Airlines and MRO's become more efficient.
Azmat is co-founder and CTO of Zymbly. He holds a Master's in Mathematics from Imperial College London, where his research focused on the geometry of quantum mechanics. He started hacking at the age of 11 and spent 4 years building ML models and software for enterprises in highly regulated industries. He's also a competitive weightlifter and aspiring polyglot.
Doubling aircraft technician productivity through agents that do the busy work
Zymbly provides AI agents that assist aircraft technicians by automating troubleshooting and paperwork, surfacing relevant manuals and procedures, ordering parts, and turning voice notes into compliant documentation to increase maintenance productivity for airline maintenance teams.
Formerly “Zymbly AI”, “Zymbly”, “Zymbly AI”
AI-native industrial maintenance software
AI that automates servicing for commercial lenders
