Treepai AI lab Est. 2026

AI that does more for less.

Treepai is building specialized language models, each meant to do a specific task very well. Our goal is models that are cheap to train, cheap to run, and built on data we can account for.

Why it matters

Most work doesn’t need the biggest model.

Sending every request to a large, general model is expensive for work that’s specific and repetitive. A model built for one task can be much smaller, and much cheaper to run. Our goal is specialized models that work alongside frontier AI, not against it.

What we’re building toward
01

Built for one job

We’re building toward models that each handle a specific task, from small specialists to large task models.

02

Runs where you need it

Our goal is models that can run on your own servers, including ordinary CPUs with no GPU, or through a hosted API.

Status
No. 01 Our first models Specialized language models for specific tasks. In research; nothing is available yet. Research phase
How we work
01

Efficiency first

Cost to train and cost to run are design goals from day one, not something we fix later.

02

Honest evaluation

We won’t claim a result until we can show it and explain how we measured it.

03

Clean data

Trained from scratch on documented data with clear provenance, from openly licensed datasets, never on other AI companies’ outputs.

Updates
  1. Introducing Treepai
All updates
Contact

Questions, press or partnerships:

hello@treepai.com