# Federica Freddi (slim)

> Federica Freddi is co-founder of Sqwish Labs. kettei on Anchor Terminal, with grades, an about and public profiles.

- Full: https://www.anchorterminal.com/people/federica-freddi/index.md (~750 tokens) · this version ~480 tokens · JSON https://www.anchorterminal.com/people/federica-freddi/index.json · canonical https://www.anchorterminal.com/people/federica-freddi/
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-10-27
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Co-founder, Sqwish Labs.

Federica Freddi co-founded Sqwish Labs, a Cambridge company training small models for decisions inside AI products.

## What Federica builds

- [kettei](https://www.anchorterminal.com/tools/sqwish-kettei.md), graded C, 58.3/100, in Decision models. kettei is Sqwish Labs' family of decision models, released on 14 October 2026. Its OneHot API returns a probability for each allowed answer to yes or no, choice and rating questions about text or images, and fine-tunes the smaller sizes. Co-founder, Sqwish Labs, researched 2026-10-27.

## Works with

- [Ushnish Sengupta](https://www.anchorterminal.com/people/ushnish-sengupta/), Co-founder, Sqwish Labs

## Questions

### Who is Federica Freddi?

Federica Freddi co-founded Sqwish Labs, a Cambridge company training small models for decisions inside AI products.

### What does Sqwish Labs make?

Anchor Terminal lists kettei from Sqwish Labs.

### How are Federica's tools graded?

kettei is graded C, 58.3 out of 100, on Anchor Terminal's benchmark, which scores every listing against the same checklist.

## Sources

- https://sqwish.ai/blog/about-us
- https://sqwish.ai/
- https://sqwish.ai/manifesto
- https://sqwish.ai/llms.txt
- https://docs.sqwish.ai/introduction

These are the people building the tools we list, named for their public role in the company or project behind a listing, from public pages, with the date it was researched.