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AI Control Plane

Build AI pipelines
for regulated data.

Visually build and publish model pipelines on regulated data.

What you get out of the box
Visual pipeline builderOpenAI-compatible endpointGuardrails built in
Any open-source modelStreaming includedAPI & SDK
  • Free
    Starter plan
    1 published pipeline, 1,000 runs a month
  • $99/mo
    Pro plan
    25 pipelines, 50,000 runs included
  • $0.002
    Per extra run
    Transparent, usage-based overage
  • 14 days
    Free Pro trial
    No card required. Cancel anytime.
How it works

Go live in three steps

Ship a production-ready AI endpoint in minutes, with sensitive data protected and every run tracked.

  1. Step 01

    Build a pipeline

    Visually connect open-source models, guardrails, and integrations into a pipeline. Pick a model per node and drop in redaction or PII guardrails where you need them. No glue code.

    $ drag & drop · no code
  2. Step 02

    Publish behind one API

    Every pipeline gets a versioned endpoint. Call it with the typed /invoke API or an OpenAI-compatible /chat/completions endpoint — point any OpenAI SDK at it, streaming included.

    $ POST /api/pipelines/<id>
  3. Step 03

    Track every run

    Every run is logged with per-node timing, tokens, and success rate. Version, roll back, and export run history any time for SOC 2, HIPAA, or your next audit.

    $ GET /v1/runs
Watch the film

Why we built Treza

A quick look at the problem we set out to solve. Start your free trial.

Enterprise control plane

Governance for every pipeline run

Every pipeline run lands in a tamper-evident audit log: who ran it, which model, what data it touched, and where the output went.

Claude Codeagent
coding-agent · prod
Streamingsess_a3f9c1
Activity log6 events
Prompt frommaria@northwind.io
09:41:55
Claude Opus 4.8 · 2,431 tokens
09:42:06
Authsvc-analytics@snowflake warehouse:read
09:42:40
Queryanalytics.fct_orders 4,803 rows
09:43:12
PII detectedname, address, card
09:43:15
Export to S3s3://nw-exports/orders.csv
09:44:02

How we deploy it

We forward-deploy an engineer into your org to stand up the control plane with you and wire it into the identity and data systems your team already runs.

  1. 01

    We embed an engineer

    A Treza forward-deployed engineer works alongside your team to stand up the control plane inside your own environment. Not a slide deck, a working deployment.

  2. 02

    Wire up your stack

    We connect your identity provider (SSO / SCIM), your models, agents, and data sources, so every run is attributed to a real person.

  3. 03

    Go live with full governance

    Every pipeline run lands in a tamper-evident audit log you can stream to your SIEM. Your security and compliance teams own it from day one.

Talk to us about a deployment
Enterprise·SSO, private enclaves, SIEM streaming
Built on Treza Platform

More than a pipeline builder

The same confidential-compute primitives behind the AI Control Plane are available to teams who need attested enclaves, key custody, or a control plane of their own.

Redaction and PII guardrail nodes inside a Treza pipeline
Integrations

Drops into the stack you already run

Ship containers you already build, sign for the chains you already use, and call the models you already trust, without changing how your team works.

Integrates with
AWS
Google Cloud
Microsoft Azure
Docker
Solana
Ethereum
OpenAI
Claude (Anthropic)
FAQ

Common questions

What teams ask before publishing their first pipeline.

  • What is the AI Control Plane?

    It’s where you visually build model pipelines and publish them behind one API. Wire open-source models, guardrails, and integrations together on a canvas, then call the pipeline with a typed endpoint or an OpenAI-compatible, streaming one. Redaction and PII guardrails are nodes you add wherever you need them.

  • Do I have to rewrite my code?

    No. Every pipeline exposes an OpenAI-compatible /chat/completions endpoint, streaming included. Point any OpenAI SDK at it: change the base URL and API key and you’re done. Prefer a native integration? Call the typed /invoke endpoint, with JSON inputs and outputs derived from the graph.

  • Which models can I use?

    Any open-source model, picked per node: Together, OpenRouter, Fireworks, DeepSeek, and more via an OpenAI-compatible backend. Swap models per node so you’re never locked to one provider. Your keys are stored encrypted and never exposed to callers.

  • How do guardrails work?

    Redaction and PII guardrails are nodes you drop into a pipeline. Add them wherever sensitive data should be handled before it reaches a model or an external system, alongside conditional and filter routing. A proxy is just a one-node pipeline.

  • Can I see what each run did?

    Yes. Every run is logged with per-node timing, tokens, and success rate. Version and roll back any pipeline, and export run history any time for SOC 2, HIPAA, or your own records. Enterprise adds hardware-attested Treza Enclaves.

  • How much does it cost?

    Starter is free with 1 published pipeline and 1,000 runs/mo. Pro is $99/mo with 25 published pipelines and 50,000 pipeline runs included, then $0.002 per run, plus a 14-day free trial that needs no card. Cancel anytime.

AI Control Plane

Put AI to work on your sensitive data.

Ship AI on your sensitive data and start free with full Pro for 14 days, no card required.