Platform
Alias LLM
One workspace over many frontier models. Alias routes each piece of work to the model that handles it best, and holds the whole job together.
Not a wrapper on one model
Alias reaches several frontier models and decides between them per step, so you are not locked to one vendor's strengths.
Models check each other
On work that matters, more than one model contributes and their answers are compared before you see a result.
Your data stays yours
Workspace content is isolated per account, encrypted where it is sensitive, and never used to train models.
How it works
- 01
Bring your work
Connect your documents and tools, or just start asking.
- 02
Alias routes it
Each step goes to the model best suited to it, in parallel where that helps.
- 03
Get one result
The parts are merged, checked and delivered as a single answer you can trace.
Try asking
Which models are you using for this answer, and why did you pick them?
Run this question past more than one model and tell me where they disagree.
Take this whole project and give me a finished deliverable, not a conversation.
Questions
- Which models does Alias use?
- Alias routes across frontier models from several providers. Which ones are available depends on your plan, and you can always see which model produced a given answer.
- Can I bring my own API keys?
- Yes. Bring your own keys and your usage runs on your provider accounts, sealed in an encrypted vault and never exposed back to the browser.
- Is my data used for training?
- No. Your workspace content is not used to train models, and it is isolated from every other account on the platform.