DeepGraph
Autonomous research with conclusions you can check. Submit a direction; receive an evidence map, novelty-checked ideas, an experiment plan and first signals — every number traces back to one real, verified computation.
Research output you can audit.
DeepGraph is the research pillar of the JouleBeat runtime. You submit a research direction. The engine maps the field’s evidence, checks ideas for novelty, drafts a rigorous experiment plan and runs for first signals — that part is free.
Paid engagements go further: multi-seed real experiments, a baseline at the same compute, a traceable evidence pack, and a paper formatted to the target venue’s template.
For a reviewer’s checklist covering these outputs, read How to Review an Autonomous Research Deliverable.
Three refusals, one guarantee.
We don’t take your data. We don’t take your code. We don’t take your manuscript. Evidence is generated in-house, so it can be verified in-house — and negative results are reported exactly as they came out.
The guarantee behind every deliverable: each number traces back to one real, verified computation.
The hardest long-horizon workload.
A multi-day autonomous research run is the most demanding long-horizon agent workload we know: it has to stay coherent, on-budget and verifiable far beyond a chat session. DeepGraph is where the JouleBeat runtime — token scheduling, memory, verification — earns its keep on real work.
See it run.
Submit a research direction on the live site, or write in first.