OpenPC installs private compute, builds the agents that run on it, and records every run as evidence.
Private compute for inference, agents and robot simulation, installed on your site or our grid and kept running. We supply or arrange the hardware.
Private agents on open-weight models, held to your rules. We build them with your team, with a person signing off where policy says.
Every run recorded as proof it stayed private. Where it ran, on which infrastructure and under which policy. Any run can be repeated exactly.
Tenstorrent
NVIDIA
AMD
Intelinside the rules
they already answer to.
Run clinical notes, imaging and benefits claims privately, on compute inside your boundary, with a person signing off where your policy says.For teams working under HIPAA.
Workloads
| Time | Step | By |
|---|---|---|
| 09:04 | Visit note drafted | Agent |
| 09:06 | Billing codes suggested | Agent |
| 09:11 | Note reviewed and signed | Clinician |
| 09:11 | Run recorded | OpenPC |
Run discovery and trial work privately, on open-weight models. Repeat any run exactly, with a record of where it ran and under which policy.For teams working under 21 CFR Part 11 and GxP.
Workloads
| Time | Step | By |
|---|---|---|
| 14:20 | Compound library screened | Agent |
| 14:31 | Candidates ranked | Agent |
| 14:52 | Shortlist approved | Scientist |
| 14:52 | Run recorded | OpenPC |
Run robot simulation and policy training privately, on our grid, one job per node, with your robot models and environments sealed from the host. Every run gets a record tying the robot policy to its scenario set and simulator version.For teams working under FDA guidance on simulation credibility or preparing for the EU Machinery Regulation, which applies from January 20, 2027.
Workloads
| Time | Step | By |
|---|---|---|
| 01:12 | Policy trained in simulation | Agent |
| 02:40 | 200 test scenarios passed | Agent |
| 08:55 | Approved for hardware tests | Engineer |
| 08:55 | Run recorded | OpenPC |
Run models and fraud checks privately, on hardware you control. The same input gives the same output, so you can check any result again later.For teams working under SR 26-2 and GLBA.
Workloads
| Time | Step | By |
|---|---|---|
| 10:02 | Transactions scored | Agent |
| 10:03 | Case opened | Agent |
| 10:17 | Case reviewed and closed | Analyst |
| 10:17 | Run recorded | OpenPC |
Run plant automation privately, on compute sized to the workload and installed on site. Our engineers handle monitoring, upgrades and scaling.For teams working under NERC CIP and IEC 62443.
Workloads
| Time | Step | By |
|---|---|---|
| 06:15 | Sensor readings checked | Agent |
| 06:16 | Fault flagged on line 3 | Agent |
| 06:40 | Maintenance approved | Engineer |
| 06:40 | Run recorded | OpenPC |
Run intelligence analysis privately, inside the country, on hardware your policy approves, with evidence of isolation and jurisdiction for every run.For teams working under ITAR and CMMC.
Workloads
| Time | Step | By |
|---|---|---|
| 22:40 | Reports summarized | Agent |
| 22:48 | Sources cross-checked | Agent |
| 23:05 | Brief approved | Analyst |
| 23:05 | Run recorded | OpenPC |
Our team has deployed technology for and worked with HHS, DARPA, the U.S. Department of War and Harvard, and has run a simulation lab at Mass General and a surgical robotics company.
No. On the OpenPC grid, each workload runs encrypted and in hardware isolation inside its node, and nothing but the run record is kept. Attestation proves which node and software ran it. The host provides space, power and a connection, and OpenPC installs, secures and runs the node. A workload your policy keeps on your own site never runs on the grid.
They stay inside the execution boundary your policy defines. We don't keep any of it for training or use it outside your deployment.
Yes. Simulation, reinforcement learning and policy evaluation run one job per node, on our grid or on your own site. On our grid, your robot models and environments stay sealed from the host. Each run gets a record tying the robot policy to the scenario set and simulator version, so you can show what a released policy was tested against.
We do. Our engineers run each workflow and keep it current as your systems and rules change, and every task is recorded. The agents and workflows are yours, so you can run them without us.
Private inference is billed by the token, robot simulation and policy training by the GPU-hour, and agent workflows by the completed task. Reserving capacity for 6, 12 or 24 months costs less than paying on demand. When our engineers build a deployment with your team, it starts at a fixed price, then compute is billed per node.
Probably not. If your workload can run on a public endpoint under your policies, do that. We built this for the workloads that can't.
For hosts
Host an OpenPC node. You provide the space and we handle everything else.