Arkeon builds computational infrastructure for researchers and institutions working with large document collections.
Every research project that involves a large document collection ends up solving the same infrastructure problems from scratch. Entity extraction pipelines, relationship mapping, cross-collection linking, discovery interfaces — built once for a single corpus, then abandoned when the funding ends. Nothing is reusable. Nothing connects.
The deeper issue: collections that should be in conversation with each other are isolated. An entity resolved in one corpus could inform resolution in a completely different collection held by a different institution. But there's no shared layer to make that possible.
Infrastructure that makes knowledge graph work generalizable across collections — not one-off tools that die when a project ends.
Documents added to one collection become discoverable alongside documents in every other collection. The network gets smarter as it grows. This is what the Arke network is.
Learn more at arke.institute →We work with researchers, libraries, archives, and institutions — anyone with large document collections and hard research questions. We can scope what's computationally possible with your collection, build the infrastructure to make it happen, and ensure it lasts beyond any single funding cycle.
We're also happy to contribute to grant proposals as a named technical partner when that strengthens the application.
This is early-stage work. We're building with researchers who are deep in these problems, and we want the people doing this work to help shape the infrastructure.
More about research partnerships →