P¬P Labs
Agents for the data that can't leave the room.
We design, build and run agents for companies, on the same zero-retention models as Studio. PnotP never stores your prompts, and every call returns a receipt.
How we work
From your workflow to an agent in production.
- 01
Map the workflow
We start from your process and the data it touches, then shape the agent's model, tools and limits to fit it.
- 02
Build on zero-retention models
Every Labs agent calls the models on the PnotP tracklist. PnotP never stores the prompts, and each call returns a receipt that names the provider that served it.
- 03
Ship it and run it
We put the agent in production and keep running it: watching, tuning and extending it as your business changes.
Track record
Built by our team before PnotP.
Different industries, one constant: the data is sensitive, and the agent has to work anyway.
At a consultancy
Argus
A market-analysis tool that brings real-world signals together.
Ticket sales
Boleto Loco
The conversational agent behind their ticket sales.
University admissions
Sigea AI
Agents for university admissions.
Start
Tell us what you can't send to a vendor.
That is usually where the most useful agent is. We will tell you plainly whether we can build it.