Skip to content

FOR AI SAAS TEAMS & AGENCIES

Build AI products.
Keep control.

Keep your app code. Choose your models. Run on your infrastructure.

AI building blocks

Agents · Memory · Knowledge · Tools [3]

Your infrastructure

Self-hosted Runtime · Local models · Air-gap [2]

Agent control

Permissions · Approval · Audit [4] [5]

App integration and Runtime configuration required. Air-gap needs local models and dependencies. Commercial Runtime licensing applies. [9]

Who it fits

BUILT AROUND YOUR DELIVERY

For the team building an AI business.

AI startups & SaaS teams

Build the product experience and domain logic that matter to your customers. Evaluate an AI execution layer you can configure alongside the rest of your stack.

AI Agencies

Agree what each customer will receive: application source, integrated AI behavior, deployment responsibilities and acceptance evidence.

Already have a product? An ISV can integrate the Runtime through its APIs or SDK without adopting the Desk interface. [3]

Code, governance and deployment
CONTINUE DEVELOPING

Keep the application yours.

Work in your repository and editor. Your application supplies the UI and business logic; LibraOS supplies the AI execution layer.

Explore the development workflow → [1] [3]
GOVERNED ACTIONS

Make authority explicit.

Use the configured action workflow for approvals and audit. The kernel rejects self-approval; Desk provides an application-level review queue.

Read the action contract → [5] [6]
DEPLOYMENT CONTROL

Run inside your boundary.

Operate the Runtime on your infrastructure, including air-gapped environments with local models, embeddings and compatible dependencies.

Review deployment requirements → [2] [7]
Control follows the execution path.

External tools and frameworks need their own enforcement. Air-gap describes Runtime deployment; it does not imply an offline Cloud Builder. External-service-only features are unavailable without their required services.

[4] [7]
Try a delivery test

TRY THE SAME CUSTOMER TASK

A support app that can answer, remember and act.

Use this evaluation brief with either platform. Agree the required behavior and the test environment before you build.

  1. 01

    Build the complete workflow

    Sign in, retrieve permitted product knowledge, retain the right user context and draft a reply. Require human approval for the agreed sensitive action.

  2. 02

    Change a real requirement

    Add an escalation rule. Repeat the original journeys and check that access boundaries and saved data still behave correctly.

  3. 03

    Accept the handover

    Build from the delivered source, run in the agreed environment and verify backup and restore. Record model services, licenses and operating effort.

A working preview is one checkpoint. Acceptance also requires the critical journeys, permission checks and required data persistence to pass. Compare cost per accepted delivery, with human effort and ongoing usage recorded separately.

Licensing and availability