Skip to content
offrecoffrecOpen chat

offrec 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 the offrec api. offrec never stores your prompts, and every call returns a receipt.

Talk to usOr build it yourself on the API

How we work

from your workflow to an agent in production.

  1. 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.

  2. 02

    build on zero-retention models

    Every Labs agent calls the models on the offrec tracklist. offrec never stores the prompts, and each call returns a receipt that names the provider that served it.

  3. 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 offrec.

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.

Write to us[email protected]