Sōli AI · Open source · Saolix's contribution to the world

Open-source AI. Saolix's contribution to the world.

Sōli AI is Saolix's family of open-source models for governed AI capability for enterprise, on mobile and desktop: models modified and re-architected by Saolix. Two variants, Sōli for Mobile and Sōli for Desktop, each in three editions: Lite, Plus and Pro. They are built to run privately on an organisation's own devices and infrastructure, to advise while rules and people decide, and to be released as open source once proven, so anyone can run them, inspect them and build on them.

Open source · at release No Sōli model is released yet. Each model will be published here as open source, with its model card, evaluation results and licence terms, when it is proven.

Diagram: Open-source AI. Saolix's contribution to the world. SŌLI AI · OPEN SOURCE · OUR CONTRIBUTION TO THE WORLD OPEN SOURCE THE MODEL FAMILY Sōli for Mobile Lite first · Plus · Pro Sōli for Desktop Lite · Plus · Pro · planned Sōli Lite first model · on the phone Open source planned · with each release Model run it yourself Model card & evaluation Licence terms after legal review WHERE SŌLI IS DESIGNED TO RUN SaoHub agents governed agents Saolix products Eagle, SaoHub… Your own apps open source, planned Private by designAdvises, never decidesOpen, when proven
Open source · at release

Saolix's contribution to the world.

Every Sōli model is designed to be released as open source, so that developers, researchers and organisations can run it, inspect it and build on it. Nothing is released yet. Each release will state exactly what it includes and the licence it comes under, after legal review.

Run it

On your own hardware

Download a released model and run it on a phone, a laptop or your own servers, with no data sent anywhere.

Inspect it

Evidence with every release

A model card with its uses, what it must not be used for and its known limits, and evaluation results with the method, with the test set where privacy and licensing allow.

Build on it

Clear licence terms

Each release states what you may do with the model, with attribution for any open model it builds on.

Sōli for Mobile · Sōli Lite

Money intelligence that stays on the phone.

Millions of people manage their money through text messages: every payment, transfer, loan and balance, often in a mix of English, Swahili and Sheng. Sōli Lite, the first Sōli model, is designed to read those messages on the phone itself, so the messages, and what they reveal, stay with their owner.

01

Read the message

Turn a mobile-money message into structured facts: what kind of transaction, how much, with whom, and the balance after.

02

Stay grounded

Only report numbers and names that actually appear in the message. A model that invents an amount is worse than no model.

03

Run on the phone

Small enough to run on an everyday phone, so no message is sent anywhere to be understood.

04

Speak the language

Planned in stages: English first, then Swahili, then Sheng.

Sōli Lite design overview: a mobile-money text message arrives on the phone; Sōli Lite, a small language model running on the device, reads it and reports only values found in the message, as structured facts such as type, amount, counterparty and balance. No message is sent to a cloud AI service. Languages are planned in stages: English, then Swahili, then Sheng. SOLI LITE · DESIGN OVERVIEW DESIGN OVERVIEW INCOMING OUTSIDE THE PHONE ON THE PHONE Mobile-money service sends a text message Messages payments · transfers loans · balances Sōli Lite small language model Always grounded every value comes from the message Structured facts type · amount counterparty · balance Languages, planned in stages English → Swahili → Sheng Cloud AI services not used READ · CHECK · STRUCTURE — ALL ON THE DEVICE designed so messages stay on the device

Design overview. It shows how Sōli Lite is designed to work; no Sōli model is released yet.

The demonstration uses fixed rules and fictional messages to show the intended behaviour. It does not run the model.

Sōli Lite · where it stands

Published when proven.

We will only publish what we can show. Each item appears on this page when it is real.

  1. Proof of conceptIn progress. Built on Qwen3-0.6B, an open model released by the Qwen team under the Apache 2.0 licence. Saolix is not affiliated with or endorsed by the Qwen team.
  2. On-device buildPlanned. Measured speed and memory on real phones will be published here.
  3. EvaluationPlanned. Results and method will be published with the release, with test sets where privacy and licensing allow.
  4. ReleasePlanned. Model card, licence terms and downloads.
Sōli for Desktop · planned

Your data stays on your own machine.

Small language models designed to run privately on a desktop or laptop, in Lite, Plus and Pro editions, as in the mobile family. Work starts after Sōli Lite, and each model will be released as open source in the same way.

Sōli for Desktop design goal, planned: on your own laptop or desktop, your data goes to a Sōli for Desktop small language model running on that machine, and the answers stay on the machine. Editions are planned as in the mobile family: Lite, Plus and Pro. Cloud AI services are designed not to be needed. Work starts after Sōli Lite. SŌLI FOR DESKTOP · DESIGN GOAL PLANNED OUTSIDE THE MACHINE ON YOUR OWN LAPTOP OR DESKTOP YOUR DATA NEVER LEAVES THE MACHINE Your data on your own machine Sōli for Desktop small language model Answers stay on your machine Editions, as in the mobile family Lite → Plus → Pro Cloud AI services not needed

Design goal for a planned model family. Work on Sōli for Desktop starts after Sōli Lite; this shows the intent, not a finished design or a product.

Why private AI

Your data, your perimeter, your model.

Most AI today runs in someone else's cloud. For banks, regulators and anyone handling personal financial data, that is often the wrong trade.

Sovereignty

Data stays where it belongs

A model that runs inside your perimeter, or on the device, never needs your customers' data sent to a third-party AI service in another jurisdiction.

Control

A model you can inspect

A small model you host yourself can be versioned, tested against your own cases and switched off, like any other component you are accountable for.

Cost

Small enough to afford

Small language models are designed for everyday hardware. Useful AI should not need a data centre of specialised chips.

How we build AI

Three rules for every Sōli model.

Private by design

Models are built to run where the data already is, not to pull data out to a model somewhere else.

Advisory, never deciding

In regulated work, a model can suggest and explain. Rules and people make the decision.

Open, when proven

We will release each model as open source with a model card, evaluation results and licence terms, and not before the model has earned them.

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