LitePLM — AI-native PLM for small engineering teams.
Most small engineering teams have to choose between an enterprise PLM platform that's too heavy and too expensive, or no PLM at all — usually a tangle of spreadsheets and shared drives. LitePLM is our attempt at a third option, built around agentic AI from the ground up so smaller companies can go to market faster — without an enterprise PLM in the way.
AI-native PLM, built for the companies that can’t wait.
Agentic AI, built in
AI agents handle the busywork of PLM — drafting change orders from descriptions, summarising long drawings, answering BOM and where-used questions in plain English, flagging risk before it becomes rework. Less time managing PLM, more time shipping product.
Lightweight by design
Every feature has to earn its place. We start from the smallest useful PLM and add only what small engineering teams actually need to ship product.
Modern stack, open interfaces
Built on ASP.NET Core, PostgreSQL, and React — with clean REST APIs for everything. No proprietary middleware, no custom query languages, no gatekeeping.
Easy to run, affordable to own
Single-command Docker deployment. On-premises or cloud, your choice. Pricing aimed at teams of 5 to 50 engineers — sized to compete with spreadsheets and shared drives, not enterprise PLM.
What v1 will cover.
The first release focuses on the PLM fundamentals — done well, done modern, done with clean APIs.
- —Parts and BOM management with revision control
- —Engineering Change Orders and approvals
- —Document management with full versioning
- —Any-format CAD storage with browser-based 3D preview (STEP, STL, OBJ)
- —AI agents for ECO drafting, BOM Q&A, document summarisation, and impact analysis
- —User, team, and role-based permissions with single sign-on
- —REST and JSON APIs for everything — including the AI layer
- —Web-first UI with mobile-friendly PWA
From research to general availability by mid-2027.
Honest milestones, not aspirational ones. We'll publish progress updates as each phase completes.
Domain modelling, schema design, UX exploration, and target-market interviews.
Core platform implementation — Parts, BOMs, ECOs, documents, identity, REST.
Selected design partners running real engineering work on LitePLM.
Public launch. Targeted for mid-2027.
Want early access or to be a design partner?
We're looking for a small number of small-team customers to shape v1. If your team would benefit from a lightweight PLM, we'd like to hear from you.