We use cookies to enhance your browsing experience and analyze site traffic. By continuing to use this site, you agree to our cookie policy. Privacy Policy
Build structured workspaces around R&D projects — parallel multi-track progress, auto-aggregated knowledge bases, full-process traceability, making collaboration more efficient and R&D experience more reusable.
Multiple design tracks can run simultaneously under one project. Each track is managed independently with full decision history, enabling tracing and comparison at any time.
Whether individual exploration or team review, AI assistants stand ready at every step. Researchers can analyze independently then submit for team discussion, ensuring R&D quality.
Project materials, computational results, and experimental data automatically flow into the knowledge base. Teams make decisions based on the same information, eliminating silos.
Complete records of the entire project progression. R&D experience transforms from individual knowledge into sustainable, reusable team assets.
All data assets generated during project progression are automatically aggregated into a structured, searchable, and traceable team knowledge base.
Set target, constraints, and design direction
Launch parallel tracks with AI-assisted planning
Computation → Validation → Feedback
Team collaborative review, multi-dimensional screening
Auto-generate project summary, permanent knowledge base
Project management + multi-track progress + knowledge consolidation — every R&D effort becomes a reusable asset.