ORCH
Multi-model AI workflows, one endpoint
2 followers
Multi-model AI workflows, one endpoint
2 followers
ORCH helps SaaS teams design and run AI workflows without building orchestration infrastructure. Create logic visually, execute it via API, and stay in control of models and costs.Design AI workflows visually in a canvas and execute them through a single API. ORCH lets teams orchestrate supported LLMs, APIs, and logic with production-ready reliability.
Hey Product Hunt 👋
We built ORCH after watching founders and engineers burn weeks stitching together LLMs, APIs, and tools just to ship basic AI features.
Every experiment turned into glue code, fragile logic, and painful debugging — especially once things hit production.
ORCH fixes that.
What ORCH does
Visually orchestrate multiple LLMs, APIs, and webhooks in a canvas
Use your own provider keys (BYOK) with a curated set of supported models via OpenRouter
Add branches, retries, and business logic without building a heavy backend
Publish any workflow as a single API endpoint your app can call
No orchestration boilerplate. No rewrites every time logic changes.
Who ORCH is for
We’re especially interested in talking to:
Founders, product leaders, and eng/ML leads at B2B SaaS or AI products
Teams shipping AI features to business customers, not pure consumer apps
Startups already using (or planning to use) LLMs and APIs in production
People who are hands-on with tool choice, workflow wiring, and shipping
Teams that care about revenue, reliability, and efficiency — not demos
If that’s you, we’d love to hear:
How are you orchestrating models/APIs today? (custom code, LangChain, n8n, Zapier, internal tools, etc.)
What’s currently the most painful part?
💡 Launch offer
If you’re building an AI product, we’ll hop on a call and help you design your first production-ready workflow in ORCH — free.
👉 Book a slot here: https://calendar.app.google/QzEJ...
We’d love your brutal honesty:
What would make ORCH indispensable for your team?