ClearOS is a modular runtime: connectors in, agents in the middle, audited decisions out. Built to deploy inside your boundary, on your iron, under your governance.
SFTP, fax, email, EDI, JDBC, REST, mainframe screen-scrape, S3.
OCR, layout, vision-LLM extraction, signature/seal detection.
Policy manuals, statutes, regs, internal precedent — versioned RAG.
Deterministic plan-and-execute with full traces; pluggable LLMs.
State machines, SLAs, escalation, appeals, queueing.
Signed, immutable logs to your bucket. FOIA & IG views.
Most "AI agents" are a clever prompt and a fingers-crossed loop. That's not acceptable for public-sector decisions. ClearOS agents are explicit state machines. Every step has a name, a contract, a budget, and a fallback.
▸ ingest.fax(2pp) ✓ 1.2s ▸ ocr.layout ✓ 2.8s ▸ extract.SSA-3368 ✓ 3.1s ▸ knowledge.lookup(listing 1.04) ✓ 0.4s ▸ reasoning.draft ✓ 6.7s ▸ policy.lint ✓ 0.2s ▸ queue.review(J. Ramirez) ✓ total 14.4s · cost $0.083
Policy lives in Git-backed bundles. Diffs review like pull requests.
Every model answer points to the section it relied on.
Counsel writes assertions; the system runs them on every change.
Pilot a new policy in shadow mode without affecting live cases.
See exactly which case classes a regulation change will touch.
Bad rollout? One command, full revert, all decisions tagged.
OpenAI, Anthropic, Google — behind FedRAMP-Mod boundaries.
Llama, Mistral, Qwen — runnable air-gapped.
Document-AI models we fine-tune for messy gov forms.
Pure rules & OCR mode for the most sensitive workloads.
Lightest lift. Counties, small cities, design partners.
State agencies. AWS GovCloud or Azure Gov. Customer-managed keys.
Federal IGs, DoD adjacent. Open-weight models, full disconnection.
Per workflow, per model, per minute.
Human override rates, escalation rates, appeal-reversal rates.
Policy mismatch flags before legal hears about it.
Outcomes by protected class, automatic reports.
Real-time queue health, breach prediction.
Forecast next quarter's volume; right-size model spend.
State CTO offices want to build, not just buy. ClearOS exposes a typed REST & gRPC API for ingestion, classification, drafting, and audit retrieval. Webhooks for state changes. SDKs in Python, TypeScript, and Go.
{ "workflow": "ddi-initial", "documents": ["s3://.../app.pdf"], "applicant": { "id": "X-19283" }, "priority": "standard" } → 201 { "case_id": "C-2026-018342" }
Yes. We ship an offline bundle with open-weight models, vector DB, and policy engine. No outbound calls.
Quarterly minor releases, annual majors. Backward-compatible API for two majors. Customers control upgrade windows.
Splunk, Elastic, Sentinel, Sumo, plain syslog. Standard OCSF schema.
Yes. Bring your own inference cluster; we provide the routing, caching, and observability.
We'll do a 60-minute deep dive — runtime, policy, audit, deployment.