Pipelines that reason, route, and ship.
Compose language models, retrieval, transforms, and human review into workflows you can version, test, and monitor like code.
Where prompts grow up.
AI Workflows takes a scattered set of prompts and turns them into a reliable, observable pipeline — with types, tests, and rollbacks.
- Node‑based editor with a Git‑friendly YAML source of truth
- Automatic evaluations on every deploy
- Parallel branches, map/reduce, and human review nodes
- First‑class caching and streaming
Everything you need to run AI Workflows in production.
Branch & merge
Fan out to specialists, reconcile with a reviewer node.
Traces & spans
OpenTelemetry traces on every run — drill into any step.
Eval on deploy
Golden datasets block a bad model swap before it ships.
Reusable blocks
Publish sub‑workflows and reuse them across the org.
Thoughtful features, not feature bloat.
Model router
Route to fast, cheap, or capable models based on the input.
Retrieval nodes
Vector, keyword, hybrid, and rerank — all first class.
Human‑in‑the‑loop
Pause for review, collect feedback, resume automatically.
Code sandbox
Run TypeScript with npm packages inside a workflow node.
Latency budgets
Set per‑step timeouts and see p95 on every deploy.
Private by default
Your data is never used to train foundation models.
AI Workflows, at a glance.
A live‑looking preview of what your team gets on day one.
Results your CFO will love.
Ship a change in a branch, evaluate, and merge — same day.
Every deploy runs your evals before flipping traffic.
Model router cuts cost without changing outputs.
Where teams put AI Workflows to work.
Document processing
Extract, classify, and enrich contracts, invoices, and forms.
Search & Q&A
Retrieval, rerank, and answer — with sources, always.
Back‑office
Automate KYC, onboarding, and compliance reviews.
Plays well with your stack.
Connects to the tools your team already uses.
Give your team the calm, powerful workspace they deserve.
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