AI is everywhere.
Trust is nowhere.
Until now.
Noble's OS is the work platform with trust built into every agent action. One audit trail. One approval model. One source of truth — whether you run a contracting crew, a claims office, a clinic, a city agency, or a print shop.
Six primitives every AI system needs. None of them ship by default.
LLMs can draft, summarize, and decide. What they can't do is prove what they did, explain why, or stop when policy says stop. Noble's OS is the layer in between.
Policy engine
Declare what agents can do, with whom, under what thresholds. Written in plain language, enforced on every call.
Execution log
Every input, tool call, and output — replayable, exportable, signed. Built for regulators and your own peace of mind.
Human-in-the-loop
Approval queues with context, diffs, and single-click sign-off. Plus a reason captured on every override.
Data boundaries
Per-tenant isolation at the row, role, and model level. No cross-tenant training. Field-level redaction where it matters.
Blueprints
Model how your organization actually runs — intake, review, approval, escalation — once, and reuse it across every agent.
Model portability
Swap models, vendors, or run on-prem. Policies and logs travel with you. No lock-in to one AI provider.
Six controls. Every agent. Every tenant. Every run.
We built Noble's OS because trust isn't a checkbox on a compliance page — it's a stack you operate. These are the six controls you get on day one, whatever you build on top.
Attestation
SOC 2 Type II today. HIPAA BAA available. StateRAMP in review.
Isolation
Per-tenant data at row, role, and model level. No cross-tenant training.
Observability
Every input, tool call, and output is logged and replayable.
Accountability
Humans hold the pen. Overrides are captured with a reason.
Policy as code
Declarative scopes and thresholds enforced on every agent call.
Portability
Swap models or run on-prem. Policies and logs travel with you.
Same trust layer. Different line of work.
The approval, audit, and policy primitives don't care what industry you're in. Blueprints and templates make Noble's OS feel native wherever you run it.
Home services
CRM, scheduling, inventory, contracts. Agents draft estimates and co-sign POs under your threshold.
State & local government
Permits, constituent casework, FOIA. Every agent action in a StateRAMP-ready log for oversight.
Insurance
Claims intake, first-pass adjudication, subrogation. Examiners stay in the loop on anything borderline.
Healthcare
Prior auth, eligibility, referral triage. HIPAA-ready with field-level PHI redaction before any model call.
Print on demand
Order intake, artwork QA, vendor routing. Agents catch under-priced jobs and DPI issues before press time.
Or roll your own
Blueprints, templates, and agent roles are first-class primitives. If you can diagram it, you can run it here.
Per-seat pricing. Trust included in every tier.
Every plan includes the full trust stack — policy engine, audit log, approval queues. The difference is seats, runs, and support.
Starter
For a single team piloting their first trusted agent.
- Up to 5 seats
- Policy engine + audit log
- 200 agent runs / month
- SOC 2 report on request
Team
For operations teams running multiple blueprints side by side.
- Up to 40 seats
- Blueprint Library + custom agents
- 2,000 agent runs / month
- Approval queues + SLAs
- Priority support + shared Slack
Enterprise
For regulated operators with compliance & procurement teams.
- Unlimited seats & runs
- SSO, SCIM, on-prem option
- HIPAA BAA, StateRAMP path
- Custom blueprints + onboarding
- SOC 2 report, DPA, MSA
We adopted three AI vendors last year and killed two. What kept Noble’s OS was the audit trail. Our compliance team can answer regulator questions in minutes instead of weeks, and the approval queues mean our adjusters still own the call on every borderline claim.
The questions you'd ask on a demo call.
Isn't this just another AI wrapper?
No. Wrappers expose a model through a nicer UI. Noble’s OS is the policy engine, audit log, approval queue, and blueprint system that sits between any model and your actual data — the parts nobody ships because they’re hard.
Which industries is this really for?
Anywhere humans and agents need to share decisions with a paper trail. Today we have customers in home services, state and local government, insurance claims, healthcare prior-auth, and print-on-demand fulfillment.
What happens when an agent gets it wrong?
Every run is logged and replayable. You set thresholds and scopes per agent — dollar limits, record types, allowed tools. Anything outside the scope stops for a human, and overrides are captured with a reason.
Do you train on our data?
No. Tenant data is isolated and never used to train shared models. You can opt into per-agent improvements on your own tenant; it’s off by default.
Can we run on-prem or bring our own model?
Yes to both. Noble’s OS is model-portable — OpenAI, Anthropic, Bedrock, or self-hosted. Enterprise can deploy the control plane in a VPC.
How does this compare to ServiceNow AI or Salesforce Einstein?
Those bolt AI onto a legacy platform you’re already in. Noble’s OS is the other direction: a trust layer first, then the work surfaces.
The AI was the easy part. We built the hard part.
Put the trust layer under your next agent project. Book a working session and we'll map it to your blueprints in 30 minutes.