Inference and sandboxes for a million agents at oncelong-horizon agentsRL rolloutsbackground agentssoftware factoriescybersecuritydrug discoveryprotein design
Every model behind one gateway. A sealed computer for every attempt. A person before anything ships.
Run the experiments you could never afford.
Inference and training. One gateway. Our hardware or yours.
Every model. Every provider. One gateway built for fleets.
agents
Calls pass through one routing layer.
Hyperscalers, neoclouds, and clusters we manage, behind one routing layer.
Every fallback is recorded.
Nothing else changes.
Your model, trained on your missions.
models
Better at your questions, not everyone's.
Most of a million scored attempts are wrong. That is the signal.
Better at your questions, not everyone's.
In the next mission, against the same bar.
Training needs hardware, not an API budget. Ours, or yours.
| Accelerator | VRAM | RAM | vCPU | Interconnect | Where it runs |
|---|---|---|---|---|---|
| H100 SXM | 80 GB HBM3 | 185 GB | 32 | NVLink 900 GB/s | HostedOn prem |
| H200 SXM | 141 GB HBM3e | 182 GB | 44 | NVLink 900 GB/s | HostedOn prem |
| B200 | 192 GB HBM3e | 384 GB | 32 | NVLink 5 | Hosted |
| B300 | 288 GB HBM3e | 480 GB | 48 | NVLink 5 | Hosted |
| GB300 NVL72 | 20 TB HBM3e / rack | 40 TB | n/a | NVLink, 72 way | HostedSovereign |
Reference configurations, quoted per engagement.
Every attempt gets its own computer.
Each agent runs in a sealed environment. A wrong attempt costs its own compute and nothing else. A long task can pause for a week and pay nothing for the idle hours.
One attempt. One sealed environment.
Each agent gets its own computer. Its own workspace, its own compute, its own boundary.
Our cloud, your own cloud provider, or a network with no route out. Same environment in all three.
A million agents on your complex questions and hypotheses. One person rules on the answers.
Put a fleet on a question. Read the few results that survive. Train on everything the mission learned.
Which analogues in series 4 bind under 10 nM without losing solubility?
118 of 52,140. A person rules on them before anything ships.
Dispatch
The fleet opens the whole space in parallel. No two agents try the same thing.
Its own environment, its own compute. A wrong attempt costs nothing else.
A dead branch is never tried again by any agent. The loop gets cheaper the longer it runs.
Decide
Same metric, same threshold, for five attempts or five hundred thousand.
What it was tried against, what it beat, which run produced it.
A person is the last step. The record shows who decided and when.
Any question you can score.
If attempts can run in parallel and be scored against one bar, the loop works. For example:
Biology
Folding, structure prediction and variant calling at fleet scale.
Drug discovery
Hit finding, docking, affinity and ADMET triage. One mission, one shortlist a chemist can defend.
Software engineering
Migrations, verification and regression hunts across all your software.
Cybersecurity
Vulnerability hunting, exploit triage and patch validation on systems you own. Every candidate proven in a sealed environment first.
Deep knowledge domains
Law, materials, clinical and financial research. The answer has to survive an expert, not a benchmark.
Your models. Your hardware. Your network. Your intelligence.
Agents run in isolated environments, on our cloud or on your own cloud provider. Sensitive data, breakthroughs and your edge stay with you.
Run on your racks or on a network with no route out. Models delivered offline where needed.
Role-based access. An audit log on every dispatch and every human decision.
Your models, your data, your results. Content is never logged. When something breaks, it fails closed.