Who we are.
Engineers who make catalogs safe to hand an AI agent, for products where a wrong value hurts someone. Every field checkable, safety rules out of the model's hands.
Have a catalog your agent can't afford to get wrong? Talk to us

CloudCrane
/klaʊd · kreɪn/ · noun
The curation layer under a catalog an AI agent answers from. Every field checked against a contract you write, and anything it cannot prove kept back.
- Catalogs shipped
- 2
- Catalogs shipped
- Records processed
- 1,324
- Records processed
- Safety values enforced
- 20
- Safety values enforced
AI products rarely fail on the model. They fail on data that is thin, inconsistent or quietly wrong, and in food, fitness and health, quietly wrong means someone gets hurt.
So we build the layer that catches it. You set what each field may say; every record is checked against that contract, and every value keeps a receipt of how it was decided. What comes out is a tool your agent calls that leaves out anything it cannot vouch for. Menus, product catalogs, exercise libraries, labels: anywhere a field has to be right about a real thing.
It is a platform you run yourself, in early access: bring your records from a file or your own database, write the contract, check what comes back, measure it against an answer key, publish it and connect it to your agent. The roadmap says which parts run today and which do not.
What wehold to.
- 01
Unknown is never safe
When an agent is asked to leave something out, a record comes back only if it's known not to have it. No data is not good news.
See it work - 02
Rules before AI
Known words settle what they can, for free and the same way every time. A model only sees what code can't decide.
See it work - 03
Every value carries a receipt
How it was decided, how sure, under which version of the rules, and who approved it. "The model said so" isn't an answer.
See it work - 04
Only claim what ships
If it isn't built, the site says planned. The roadmap shows which parts run today and which don't, and why.
See it work