AI you can inspect,
govern, and trust.
Most AI systems can generate answers. Few can generate evidence.
adapterOS is a governed AI workspace for sensitive documents and workflows. Every operation produces reviewable evidence.
The problem with AI in sensitive environments
Cloud AI platforms are built for convenience. They optimize for speed, broad access, and ease of use. That model works for many teams.
But some environments need more. When documents are classified, when workflows require audit trails, when AI outputs must withstand review — convenience is not enough.
These environments need AI that runs under local control, operates within defined policies, and produces evidence of what it did and why.
That is what adapterOS is built for.
What your team can do
A governed AI workspace for sensitive documents and workflows. Everything runs locally. Every operation is recorded.
Search internal documents
Query policies, records, and institutional knowledge without sending data to external services. Results cite source documents.
Ask questions grounded in your data
Get answers drawn from your own documents. Every response includes provenance — what was retrieved, what was generated, what was cited.
Draft with governed AI
Generate reports, summaries, and correspondence. Every draft operation is logged with inputs, model state, and outputs.
Analyze with evidence
Run analysis workflows that produce signed records. Reviewable by your compliance team, your auditors, or your own internal review process.
Trust comes from evidence, not slogans
Most AI products ask you to trust their architecture. adapterOS is designed so you don’t have to.
Every operation on adapterOS produces a reviewable record: what data was accessed, what model produced the output, what policy governed the operation, and when it happened. This is not an add-on. It is the operating model.
Evidence is the difference between “our AI is secure” and “here is the record.”
Deployment model
adapterOS runs locally on dedicated hardware inside your facility. Your team accesses it through a web interface, REST API, or command line.
Local execution
All processing happens on hardware inside your facility. No data leaves your premises. No external model training.
Access control
JWT and API key authentication. Role-based access control. Policy packs define operational boundaries before the system is activated.
Reviewable operation
Audit logs, signed run receipts, and SBOM artifacts. Designed to support your internal review processes and compliance workflows.
The system ingests PDFs, Markdown documents, and JSONL datasets. It operates offline — no cloud dependency, no external API calls during operation. We handle hardware, installation, data preparation, and ongoing support.
adapterOS is designed for environments with regulatory requirements. The architecture supports evidence generation for frameworks including CMMC, HIPAA, SOC 2, and ITAR. These describe design alignment — not certification claims. Detailed compliance mapping is available during deployment discussions.
Start with a pilot
Commercial engagements begin with a fixed-scope pilot: one workflow, one environment, one deployment scope, with a defined review path.
Briefing
Understand the fit
We cover capabilities, deployment model, security approach, and engagement structure. You decide whether to proceed.
Pilot
Validate against your workflow
Fixed-scope evaluation against your environment and data. Defined success criteria and review milestones.
Production
Deploy and operate
Deployment, support, and ongoing operations. Scope depends on workflow complexity and operational requirements.
Commercial details — including scope, support, and pricing — are covered during the briefing. Engagements are structured in phases: pilot validation, deployment setup, and ongoing support.
Common questions
What can my team actually do with this?
Search internal documents, ask questions grounded in your data, draft reports and correspondence, and run governed analysis workflows. Every operation produces a reviewable record.
Does any data leave our facility?
No. The system runs on dedicated hardware inside your building. No cloud calls, no external data transfers, no third-party model training.
What evidence does the system produce?
Audit logs for every operation, signed run receipts for inference, SBOM artifacts for deployed components, and policy enforcement records. All reviewable by your team.
How is this different from running an open-source model locally?
You can run a local model. adapterOS adds governance: audit logging, signed receipts, RBAC, policy enforcement, tenant isolation, and managed operations. The model is one component. The evidence layer is the product.
What does engagement cost?
Commercial details are covered during the briefing. Scope depends on workflow complexity, deployment requirements, and operational support needs. Engagements start with a fixed-scope pilot.
How long does a pilot take?
Most pilots run 4 to 8 weeks from kickoff. Full deployment timelines depend on scope but typically follow a 2 to 4 month path from discovery to production.
What hardware is required?
We procure and configure the hardware. You provide space, power, and network access. The current system runs on Apple Silicon.
What happens if we decide to stop?
Your data stays on hardware in your facility. Hardware disposition, artifact export, and support terms are defined in the deployment agreement and previewed during the pilot.
Get started
Request a briefing
We’ll send a deployment overview covering capabilities, evidence model, security approach, and engagement structure. No commitment required.
Limited pilot availability.