Everyday intelligence.
Compact local models are a starting point for everyday assistance. More memory alone does not prove a model is right for a task; hardware and workload both need qualification.
INTELLIGENCE, ON YOUR TERMS
Your models change.
Your world stays.
Your preferences. Your projects. The reasons behind your choices. Savant is being built to carry that context forward as the intelligence you use evolves.
Coming soon No release date announced
THE DESIGN01 / CONTINUITY
YOUR WORLD
The context is yours.
Preferences Projects What matters
SavantContinuity. Qualification. Choice.
A local modelQualified for your hardware
A cloud modelOnly when you choose
01 Your context has continuity.
02 Models earn their place.
03 Cloud stays your choice.
MEET THE LOCAL-FIRST TIER
Start with your world.
Find the right intelligence.
COMING SOON FREE TIER
Titan.SavantLLM / sLLM
The upcoming free local-first tier of Savant is being designed to help you choose a compatible model, connect it and prepare useful support memory for everyday life.
Think personal life, home, work, email and home automation—with the connections and permissions you enable. Atlas’s core stays the same; Atlas and Nessa work with the compatible models you connect.
How sLLM fits with AtlasTHE PLANNED EXPERIENCE
Less guesswork.
A considered setup.
A guided path from your hardware to a model that fits the work you actually want to do.
- 01
Understand your system.
Assess available memory and hardware before recommending a local model.
- 02
Find a suitable model.
Recommend a compatible model, with its fit checked against the tasks you need.
- 03
Make the connection.
The planned setup connects your chosen local model to SavantLLM.
- 04
Build useful context.
Guided learning rounds prepare support memory about your preferences and everyday context.
Memory learning means preferences and context—not training or fine-tuning model weights.
PRACTICAL BY DESIGN
Local where it fits.
Connected by choice.
Room for demanding work.
For demanding production coding, a frontier-model subscription may be a better fit. Smaller models can help with simpler code; suitability needs to be tested.
A clear cloud boundary.
Local inference runs on your computer. Downloads, email sync and connected services may still need internet access. Cloud inference requires your explicit choice.
A FEW CLEAR ANSWERS
Before you
make it yours.
An honest preview of what we’re building.
Can I download SavantLLM today?
Not yet. Titan.SavantLLM is an upcoming free local-first tier. No release date has been announced. Follow the release announcement for the current public plan.
Does “free” include hosted AI credits?
No. The planned sLLM tier is free; hosted model subscriptions and usage credits are separate. Atlas pricing also excludes LLM credits.
Will it run on a 16 GB computer?
A 16 GB memory budget can be a starting point for compact local models. Compatibility and usefulness depend on the model, hardware and task. It is not a blanket compatibility or coding-performance guarantee.
Does it learn by retraining the model?
The planned guided learning prepares support memory—your preferences and context. It does not train or fine-tune model weights.
How does Savant relate to Atlas?
Savant is the intelligence layer being developed around model choice, qualification and continuity. Titan.Atlas is a consumer of that layer. Atlas’s core remains the same as you connect compatible intelligence.
PART OF SOMETHING BIGGER
Your intelligence.
Your choice.
Built by We Are Titans. Published by TitanArray. Informed by the model research and evidence at SynOct.
Meet the builders