Do what matters.
Describe your work — wovana delivers.
›Bring your own model provider — a cloud account you already pay for, or a local model you run. Multi-provider by design, no lock-in, and your keys never leave your machine.
Expert work runs better on wovana.
Describe the work once, then let your process run. Focus on tuning, no more busywork.
research synthesis · due diligence · RFP responses · fact-checking · competitive analysis — and any process you can describe
Describe it. Shape it. Watch it run.
You author pipelines on a canvas — no code, no glue scripts. The platform compiles what you build into a runnable, quality-gated workflow you can launch, watch, and improve.
Drag stages onto the canvas yourself — or describe the goal and wovana drafts the first pipeline for you to edit.
Tune each typed stage — checks, revision loop, model. A cheap model to validate, a strong one for the decisions that matter.
Fully autonomous, or with human checkpoints for the calls that need a person. Watch live — pauses on a checkpoint, resumes across restarts.
Compare revisions on real outcome data — or let wovana read the results and tune the workflow. Promote the winner. No code, ever.
An output is done when it passes its checks — not when a model stops typing.
Quality loops run between stages. Incomplete, contradictory, or off-policy output is routed back for revision before the work moves on — and every gate decision is logged and inspectable.
Substance, not just format
A reviewer reads the actual content — flagging placeholder, ambiguous, or contradictory passages and policy gaps. It runs automatically, with deeper checks a toggle away when the work demands them.
Loud, never quiet
A loop converges or escalates out loud — it never declares a silent success on an unresolved blocker, and never spins forever. A raised blocker closes through a real fix or a recorded deferral.
No inherited mistakes
A blind-review stage deliberately withholds prior reasoning, so a reviewer can't be biased by — or inherit — an earlier stage's mistake. It checks the work, not the story told about it.
Your documents never leave your machine.
- ✓Bring your own provider. You supply your own model access — a paid cloud account or a local model you run. wovana drives it and reads no keys.
- ✓Documents stay local. The control plane holds only your pipeline definitions and run state. Your documents and model calls stay on your machine and never cross the wire.
- ✓Credentials by name only. Secrets are referenced by name and resolved locally — they never appear in logs, metadata, or stored artifacts.
- ✓A real audit trail. Every run is versioned and content-addressed: snapshotted inputs, per-stage outputs with lineage, an append-only event stream, and immutable attempt history — verifiable offline.
- ✓Closed by default. Deployment profiles refuse public binds, and the telemetry the control plane keeps is operational counts — model, reasoning, duration, tokens — never your documents.
No-code on the surface. Real depth underneath.
Everything above is authored without code. When you need exactness or an integration, the same pipeline goes deeper — the depth is there when you want it, never in your way when you don't.
Bind an exact action
Make a stage run an exact command, an HTTP call, or a nested sub-workflow instead of a model. Deterministic and AI stages share the same quality loops and routing.
Drive it from your stack
Resolve a contract, launch with an idempotency key (single or batch), and subscribe to a signed webhook. A built-in MCP server exposes the same controls to your own agents.
Plug into your stack
Read from and write to the systems around your work — the SaaS tools, stores, and APIs it depends on. Write one small function and the SDK turns it into a pipeline step, with the credential lifecycle managed and secrets kept off the wire.
Design the workflow. wovana does the work — better than a model alone.
wovana is in private beta. Request early access and we'll reach out as we open the door.
Expert work. AI without the code.