Matreum connects your lab trials, drives, and knowledge into one workspace — so every material you develop builds on everything your lab has already learned.
An all-in-one scientific workspace — connecting lab trials, knowledge, drives, and projects for engineering teams developing physical products.
Log physical runs, capture parameters, and surface drift across trials. Troubleshoot anomalies with full history at hand — not scattered across spreadsheets.
A materials-aware index of your specs, references, and prior work — structured, linked, and queryable. Review everything your team has learned, in one place.
Link local or cloud drives. Ask questions about what's in them, get cited answers, and let Matreum organize and update files in place — not copies, the originals.
Scoped rooms for each material or product under active development. Everything a project touches — trials, files, decisions — lives together and stays traceable.
From first login to live development in four steps.
Request access and tell us about your materials, processes, and methods. We configure your workspace around your domain.
Connect your local or cloud drives. Matreum indexes your existing files and builds a knowledge base tuned to how your team actually works.
Scope the material, process, and targets for the product under development. Projects give every trial and answer a home.
Log trials, query your knowledge, organize your drive, and iterate. Matreum keeps every answer grounded in your data and traceable to source.
Purpose-built for materials teams — not a chat interface bolted onto a generic knowledge tool.
Answers come from your trials, your drive, and your knowledge base — not the open web. Matreum doesn't hallucinate around your lab; it reads it.
Every answer cites source files, trial IDs, and knowledge-base nodes. Nothing stated without a link back to where it came from.
Native Windows and Mac apps, linked to the drives you already use. No migrating data, no duplicate sources of truth, no vendor lock-in.
A knowledge base tuned by material class — polymers, metals, composites, ceramics — so inference matches how engineers and scientists actually think about their systems.