ClearOS is the layer between your case-management system, your policy manual, and the citizens waiting in line. It reads, drafts, decides, and audits — under your governance, on your infrastructure.
Email, fax, scan, EDI, web form, mainframe export. ClearOS speaks every legacy dialect.
Multimodal LLMs extract structured fields from documents that have defied OCR for 30 years.
Agents draft decisions against your statutes, regs, and policy manual — with cited evidence.
Every action logged. Every model call traced. FOIA-ready, IG-ready, court-ready.
Every override teaches. Policies version like code. The system gets sharper every quarter.
Sit beside your existing case-management system. No rip-and-replace.
Your senior adjudicators don't want a new tool. They want fewer tabs. ClearOS shows up as a clean queue with three columns: case, draft, evidence. Every draft is one keystroke from approval, return, or escalation.
Deploy into your AWS GovCloud, Azure Gov, or on-prem cluster. We don't see your data.
BYOK / customer-managed encryption. Rotate at will. Revoke at will.
Pluggable. GPT, Claude, Gemini, Llama, or air-gapped open weights. Swap without re-pricing.
Your statutes and manuals are the source of truth. The model never invents law.
Every prompt, response, and decision in your S3 bucket. Immutable, signed, exportable.
Configurable thresholds for human-in-the-loop. The system never decides alone where you say so.
OCR, layout, signatures, redactions, stamps, hand-fills.
People, businesses, addresses, EINs — disambiguated.
RAG over statute, regulation, and internal manuals.
Letters, findings, denials, approvals — your template, your tone.
Anomaly detection across cases, claimants, providers.
State machines, SLAs, escalations, appeals.
Optional public-facing status & document upload.
Operational, statutory, and legislative dashboards.
| Capability | DIY LLM bolt-on | Generic RPA | ClearOS |
|---|---|---|---|
| Reads messy gov PDFs | Brittle | No | Yes |
| Audit trail per decision | DIY | Partial | Built-in |
| FedRAMP-ready | No | No | In process |
| Policy version control | No | No | Yes |
| Human-in-the-loop UX | Build it | No | Native |
| Procurement vehicle ready | No | Sometimes | GSA, NASPO |
We sit with three caseworkers and trace one workflow end-to-end.
Policy ingest, template extraction, model selection, audit hooks.
System drafts in parallel; humans approve. We measure agreement.
Drafts go to caseworkers. Backlog burn-down begins.
Second workflow lights up. Metrics roll up to leadership.
Faster days, fewer tabs, harder problems left to humans.
Real-time queue health, SLA risk, override patterns.
Policy versioning, decision audit, defensibility.
FedRAMP-aligned, single-tenant, exit-ready.
Continuous-audit feed. Forensic export on request.
Backlog dashboards your Speaker can read in 30 seconds.
No. It removes the parts of the job nobody went to school for — re-keying PDFs, chasing missing fields, drafting boilerplate — so humans can do the judgment work only humans should do.
Yours. We support frontier models behind FedRAMP boundaries and air-gapped open weights for sensitive workloads.
It stays in your tenant. We never train on it. Logs are signed and stored in your own object storage.
Policies are versioned like source code. A pull request changes a rule; a diff shows the affected case classes; humans approve the rollout.
Every decision has a human escalation path, a citation trail, and a rollback. We instrument disagreement and surface it weekly.
We'll bring a sandbox. You bring 50 anonymized cases. 60 minutes.