Research labs
Sovereign processing for regulated research
Analyze regulated research data — medical imaging, trial records, sensitive cohorts — inside your own environment. Data stays in the lab, processing stays in the lab, and the control plane stays empty.
Agent installed on your infrastructure
Raw imaging data analyzed locally
Results stay within your environment
Control plane stays empty
Regulated data never leaves the lab. Nothing to exfiltrate, nothing to audit.
Sovereign processing
for regulated research
The same guarantees your lab needs: data stays inside the environment, and every processing step is signed and provable.
Local Processing
Raw data is analyzed on your infrastructure. The control plane orchestrates jobs but never handles the content.
Signed & Reproducible
Plugins are Ed25519-signed and versioned, with full lineage. Re-run any pipeline and get the exact same result.
Full Audit Trail
Every processing step is logged in an immutable trail. Your IRB gets evidence, not assertions.
How it works
in production
A processing pipeline that keeps regulated data in the lab, start to finish.
Data arrives
Imaging, trial records, or cohort files land in the lab storage.
Agent detects the format
DICOM, PNG, CSV — the agent reads file signatures and picks the right pipeline.
Agent executes locally
Conversion and preprocessing run on your hardware, in the sandbox.
Results stay local
Outputs are written inside your environment. Nothing crosses the network.
Audit logged, control plane empty
Every step appends to the immutable audit trail. The control plane saw job metadata only — raw data and results never left the lab.
Validated where
it runs
The numbers that matter for a regulated environment — proven in production.
Raw data and results never leave the environment.
Signed, versioned plugins with full lineage.
One self-hosted agent with a 12–15 MB footprint.
One immutable record of every processing step.
Plugins this solution
needs
Signed, sandboxed, and versioned. SentraZero runs them where your data lives — every decision logged and auditable.
convertConverts DICOM and raw formats in place. No copies, no staging.
indicom/raw → normalized
{ "format": "dicom", "in_place": true }
✓ signed✓ sandboxedsha256:40a784f5…
preprocessNormalizes imaging and cohort data to the analysis spec.
innormalized → analysis spec
{ "spec": "lab-v1", "normalize": true }
✓ signed✓ sandboxedsha256:8427ee67…
exportWrites results back inside the lab environment.
inresults → lab store
{ "dest": "lab-store" }
✓ signed✓ sandboxedsha256:1ccaf7e9…
auditAppends every processing step to the immutable audit trail.
instep → audit record
{ "append_only": true }
✓ signed✓ sandboxedsha256:28e8d0f0…
Explore other
solutions
Every solution runs on the same self-hosted engine. Your data stays where it lives, no matter the workload.
Keep regulated data
in the lab
Show us your processing workflow. We'll stand up an agent inside your environment, process a real dataset locally, and hand you the audit trail. Data never leaves the lab.