Phillip Yan
Co-founder, CEO
Previously in energy markets, applied federal AI research for radio signals. Ex-Columbia.
What we are building
Maingen is an AI-native operating system for solar operations and maintenance. We unify monitoring data, maintenance prioritization, and compliance documentation that used to live in separate tools, so asset owners get one coherent view across their entire portfolio.
The problem
Solar portfolios generate a lot of signal, but it is fragmented: alarms, tickets, warranties, and regulatory paperwork rarely sit in one place. Teams lose time reconciling systems instead of fixing what matters. We are building Maingen so O&M and asset owners can prioritize work and stay audit-ready without the spreadsheet shuffle.
Where we are
We are very early: focused on customer discovery, product design, and proving the core workflows. No live product or revenue yet; we are interviewing operators and owners to shape the first release.
Team
David Yang
Co-founder, CTO
Published AI Safety researcher, trustable AI and data systems for Maingen. Ex-UPenn.
Market
Enterprise asset management and CMMS tools (for example MAPCON-class systems) are common in heavy industry, but solar portfolios need workflows that combine SCADA-style monitoring with O&M-specific prioritization and documentation. Maingen is designed for that intersection, not a generic maintenance ticket queue alone.