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The governed operating system for enterprise AI.

Saaha Fabric OS lets you build, run, and govern AI agents with context from your own domains, inside your own cloud.

Request a Briefing → See How It Works

Runs in your AWS or AWS GovCloud account

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Domain Context

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Run Metrics

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A live agent run: context pulled from the domain model, every step checked against policy, and every call measured.

Inference is commoditizing.
Governance is the product.

Any team can call a model or build an agent in an afternoon. Running hundreds of agents across an enterprise, with the right context, controls, and measurement on every run, is the hard part. That is what Saaha Fabric OS governs.

CONTEXT

Each agent gets the right context at each step, and only what its user may see.

EXECUTION

Each call runs under policy, guardrails, and an approved model.

OPERATIONS

Each run is traced, measured, and evaluated.

REUSE

Each new agent builds on approved components.

Saaha Fabric OS

One governed harness for every agent you run.

Fabric OS gives builders the parts every production agent needs, with governance built into each one. Teams assemble agents from shared components instead of rebuilding the plumbing each time.

Model Router

Sends each call to an approved model based on the task, data sensitivity, cost, and latency.

Agent Loops

Plan, act, and check cycles with step limits, retries, and human checkpoints.

Orchestration Flows

Multi-step and multi-agent flows, defined once and reused across applications.

Semantic Knowledge Layer

Domain models turn your data into context that agents can query by meaning.

Policies & Guardrails

Policy as code on every call, covering identity, data scope, sensitive data, and approvals.

Observability & Metrics

Traces, token and cost metrics, and evaluations for every run, in one place.

Built on Open Source

Keep the frameworks you already use.

Fabric OS builds on widely used open-source frameworks for agents, retrieval, orchestration, and observability. Your teams keep the code, frameworks, and skills they have already invested in, and Fabric OS adds the governance around them.

From Sandbox to Production

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signed

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Studiosandbox

Build and test agents against real models, data, and permissions in a governed sandbox.

Gatepromotion

Promote each release with evaluations, policy checks, and a named approver.

Runtimeproduction

Run in production with traces, metrics, and an audit record for every call.

Governance Built In

See why every decision was made.

Governance runs inside the harness, so teams never add it after the fact. Policy runs as code on every call, and each decision is allowed, denied, or held for review, then recorded in a single queryable trail.

✓

Policy as Code

Identity, data scope, and model allowlists checked on every call

✓

Agent Guardrails

Sensitive data handling, content filters, and step limits on every loop

✓

Named Reviewers

Named reviewers for high-risk actions and promotions

✓

Audit Controls

The audit trail implements the NIST SP 800-53 Rev 5 AU control family, with retention enforced at build time.

✓

Cited, Permission-Filtered Retrieval

Every answer carries the sources behind it. Retrieval is filtered by the requesting user’s permissions before the model sees anything — not after.

Audit Trail meridian-health · live

Held for Reviewprior-auth-agent

Agent proposes approving prior authorization for an out-of-network procedure. It waits for a named reviewer, and the approval is signed.

reviewer · Medical Director · a.patel

How It Works

Context comes from your domains.

Fabric OS models each business domain and organizes your data around it in a semantic knowledge layer. Every agent then gets the right context at the right time, scoped to what its user is allowed to see.

01

Model Each Domain

Each business domain, such as claims, acquisitions, or lending, is defined once as entities, relationships, and rules that every agent shares. In domain-driven design terms, each one is a bounded context.

Member — enrolled in → Plan
Claim — billed by → Provider
Claim — governed by → Policy

02

Build the Semantic Knowledge Layer

Records, documents, and history from your systems are linked to those entities and indexed by meaning. Each item keeps the permissions of its source.

sources · your systems of record
linked to · domain entities
permissions · inherited from source

03

Serve Context at Run Time

When an agent works on a claim, Fabric OS assembles the member, plan, provider, and prior claims that the user is allowed to see.

task · review a claim
context · member, plan, provider
scope · what this user may see

The Layers Underneath

Fabric OS Layers

select a layer or a seam

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Peopleapps · copilots

SystemsAPIs · workflows

Datarecords · docs · streams

Modelsfoundation · fine-tuned

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What You Can Build

Agents for the work your teams already do.

Each workload starts from a domain model, tools, and policies that the next one can reuse. These are examples from the industries we serve.

FEDERAL

Acquisition Research

Market research and vendor comparisons drafted from SAM.gov and contract history.

Contract Review

Clauses checked against the FAR and agency policy, with each finding cited.

Mission Reporting

Readiness and status reports assembled from systems of record.

HEALTHCARE

Prior Authorization

Requests checked against plan rules and clinical guidelines, with edge cases routed to reviewers.

Care Gap Outreach

Patients overdue for tests or visits identified and prioritized for care teams.

Clinical Documentation

Visit notes and discharge summaries drafted from the record for clinician sign-off.

FINANCIAL SERVICES

Credit Memos

Financials spread, covenants tested, and memos drafted for credit officers.

KYC and AML Review

Alerts triaged with entity research and a documented rationale.

Regulatory Change

New rules mapped to the internal policies and controls they affect.

Talk with us about a workload like yours.

A 30-minute briefing with a solutions architect.

Request a Briefing →

Deployment

Saaha Fabric OS runs inside your boundary.

In its standard deployment, Fabric OS runs in your own AWS or AWS GovCloud account. Your data, keys, identity, and models stay under your control.

Your AWS Account

AWSAWS GovCloud (US)

Your Authorization Boundary

Your Data

Systems of record, documents, and streams stay where they are.

Your Models

Use models in your account, or approve external model APIs through the router.

Saaha Fabric OS

Studiosandbox

Gatepromotion

Runtimeproduction

Governance Plane · identity · policy · guardrails · audit

Your Identity Provider

Users sign in through your IdP, and their roles map to policy.

Your Keys

Data is encrypted with keys you hold in AWS KMS.

Data, prompts, and outputs stay in this boundary · external models run only if you approve them

✗No outbound calls to Saaha Saaha

Deployment Models

Customer Deployed, Customer Operated

You deploy Fabric OS in your own AWS or GovCloud account and run it with your own tooling and change process.

Customer Deployed, Saaha Managed

Fabric OS stays in your account and boundary. Saaha operates it through access you grant and can revoke, and every session is logged.

03Coming Soon

Saaha Hosted

Saaha deploys and operates Fabric OS in its own cloud, for teams that do not need it in their own account.

Embedded Platform

Software companies build their products on Fabric OS and give their customers governed agents, routing, and observability.

The governed operating system for enterprise AI.

Inference is commoditizing.
Governance is the product.

One governed harness for every agent you run.

Model Router

Agent Loops

Orchestration Flows

Semantic Knowledge Layer

Policies & Guardrails

Observability & Metrics

Built on Open Source

See why every decision was made.

Context comes from your domains.

Model Each Domain

Build the Semantic Knowledge Layer

Serve Context at Run Time

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Agents for the work your teams already do.

Acquisition Research

Contract Review

Mission Reporting

Prior Authorization

Care Gap Outreach

Clinical Documentation

Credit Memos

KYC and AML Review

Regulatory Change

Saaha Fabric OS runs inside your boundary.

Built for enterprises putting agents to work.

Intelligence, woven with trust.

The governed operating system for enterprise AI.

Inference is commoditizing.Governance is the product.

One governed harness for every agent you run.

Model Router

Agent Loops

Orchestration Flows

Semantic Knowledge Layer

Policies & Guardrails

Observability & Metrics

Built on Open Source

See why every decision was made.

Context comes from your domains.

Model Each Domain

Build the Semantic Knowledge Layer

Serve Context at Run Time

{{ slP.title }}

Agents for the work your teams already do.

Acquisition Research

Contract Review

Mission Reporting

Prior Authorization

Care Gap Outreach

Clinical Documentation

Credit Memos

KYC and AML Review

Regulatory Change

Saaha Fabric OS runs inside your boundary.

Built for enterprises putting agents to work.

Intelligence, woven with trust.

Inference is commoditizing.
Governance is the product.