Cantana Get in touch ↗

Cantana turns real work into training data for frontier AI.

The best training data comes from people and AI systems solving real problems at work. Most of it isn't on the internet. We work with companies across the East Coast to put it to use.

The real world is AI's next frontier.

Every software session, failed attempt, correction and finished task shows how work actually gets done.

Work we source

  • Software development Coding agents
  • Financial operations New York
  • Logistics Atlanta
  • Engineering The Carolinas
Software developmentFinancial operationsLogisticsEngineeringCustomer workflowsCoding agentsEnterprise operationsAgent trajectories

We work with companies and AI labs.

Companies share workflows they approve. Labs get training tasks built from them.

For companies

Earn from data you already have.

Your systems record how work gets done in engineering, finance, logistics and customer support. We turn those records into training assets, so you don't need to become a data company.

  • New revenue from existing data
  • You keep ownership of your records
  • You choose which workflows to share
  • No distraction from your core business

We never sell raw traces. Everything we build is covered by privacy, confidentiality and licensing controls.

Explore a Data Partnership ↗
For AI labs

Realistic tasks with outcomes you can check.

Synthetic prompts and static benchmarks only go so far. We build post-training and evaluation tasks from real business workflows, from coding agents to enterprise operations.

  • Multi-step tasks from real work
  • Reproducible environments
  • Verifiable outcomes
  • Domain datasets and agent trajectories
  • Custom data and environment builds
Talk to Our Data Team ↗

AI learned from what people wrote. Now it needs to learn from what people do.

Real work records much more than a finished document: the attempts that failed, the corrections and the final result. We turn those records into training data.

Software interactions
Failed attempts
Human corrections
Completed tasks

How it works

Labs get finished training assets. Raw traces stay with the company.

  1. 01

    Source

    We find useful workflows and production traces with our partners.

  2. 02

    Refine

    We pull out tasks, rebuild their context, remove sensitive data and package each one as a reproducible environment.

  3. 03

    Verify

    We write evaluation criteria and check that each task is a real challenge.

  4. 04

    Deliver

    Labs receive the training assets, never the raw traces.

  5. 05

    Repeat

    As AI takes on harder work, that work becomes new data to learn from.

Starting on the East Coast.

We work with businesses across New York's financial markets, the Carolinas' industrial corridor, Atlanta's logistics networks and the Northeast's research institutions. Little of that experience has been used to train AI yet.

Your data stays yours.

You keep ownership of your original data. We build training environments from it and never resell raw records.

  • Authorized data access
  • Scoped licensing
  • Sensitive information filtered out
  • You control how it's used

Companies whose work improves AI should share in the value it creates.

Learn about our approach →

Every task teaches a model something.

Failures show a model its limits. Corrections show it what to do instead. That experience is what we work with.

Prefer email? hello@cantana.org

Tell us what you have, or what you need.

What's it about?
Or email hello@cantana.org

Thank you.

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