PATLAS
Patent Atlas & Figure Orchestration — IP portfolio management built for deep-tech
The problem PATLAS solves
Invention disclosure, figure generation, prior-art research, portfolio docketing and IP training have historically lived in separate tools, manual workflows and law-firm billing. PATLAS binds them into one system: the portfolio layer that connects research intelligence, diagram generation and training.
It is built for technology companies managing proprietary innovation, patent attorneys who want automated docketing with real analytics, and startups that need institutional-grade IP tooling without enterprise pricing.
Netrun Systems runs its own provisional patent portfolio on PATLAS — which makes it one of the few IP platforms whose first serious user was the company that built it.
What makes it different
Figures as structured data
Patent figures are modelled as data rather than flat image attachments, so they can be queried, versioned and regenerated instead of redrawn.
Physics validation
Built-in validation for deep-tech portfolios, where a figure that is merely drawn correctly is not the same as one that is physically coherent.
Mobile-first, pen-aware
Designed for tablet and stylus input, including Apple Pencil, rather than assuming a desktop docketing clerk.
Prior-art research built in
Research intelligence is part of the platform rather than a separate subscription and a copy-paste workflow.
AI-agent accessible
A Model Context Protocol server exposes the platform to AI agents programmatically, so an assistant can operate the portfolio directly.
IP training included
A structured IP curriculum with voice narration ships with the platform, for teams without in-house patent expertise.
Managing a patent portfolio?
PATLAS is entering its beta partner phase. Get in touch if you manage a deep-tech IP portfolio.