What Is Orlo?

Orlo is a governed AI platform built around a simple question:

Will this AI system work for our task, and can we operate it safely in production?

Orlo answers that question with a combination of:

  • evaluation
  • deterministic validation
  • deployment controls
  • retrieval and attribution
  • feedback-driven improvement
  • agent-step governance

Orlo Open Core

Open Core exposes reusable building blocks:

  • @orlo/shared
  • @orlo/validation
  • @orlo/runtime-adapters
  • @orlo/agent-sdk
  • @orlo/studio

These are useful to developers, ML engineers, and platform teams building on Orlo concepts.

Orlo Platform

Orlo Platform is the full managed platform:

  • task and dataset management
  • evaluation and recommendation
  • deployment and inference
  • retrieval and document ingestion
  • feedback promotion
  • agent governance APIs

This is the surface for teams that want the full evaluation, deployment, and governance loop in one system.

What Orlo Is Not

  • not a general-purpose agent runtime
  • not a workflow orchestrator
  • not just an LLM gateway
  • not only a prompt management tool

Orlo is strongest in the governed middle layer between model providers and production use cases.