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.
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.