Your AI.Under control.
Run models on your own servers, roll out Claude Enterprise or ChatGPT Enterprise, or bring in a Chief AI Officer to lead it all. Auris sets it up, gets your teams using it, and measures what it returns.
Four ways in.One team behind them.
Open-weight models running on your own servers or a private cloud in-region, for the documents and data that cannot go to a third-party AI service.
Supplied and configured with single sign-on, admin controls and the data settings your organisation requires, then rolled out team by team.
The same treatment: set up, governed and adopted, alongside Claude Enterprise where using both serves the work better.
A senior AI lead without the full-time hire: strategy and roadmap, AI policy, model and vendor choices, and reporting on what it returns.
Pick the problem,not the product.
- If the data cannot leave your networkStart with a local LLM.
Models run on your own servers. Nothing is sent to an outside AI service.
- If your teams need an assistant todayStart with Claude or ChatGPT Enterprise.
Or both, set up with single sign-on and admin controls from day one.
- If nobody owns AI internallyStart with a Chief AI Officer.
Outsourced, to set the strategy and the policy, and decide the rest with you.
Assess. Design.Deploy. Measure.
Rank use cases by effort and return, and set the baselines you will measure against.
Local model, enterprise licence or both, with guardrails and data access set for each use case.
Deploy or configure the platform and train the teams who will use it every day.
Track outcomes against the baseline, then expand into the next use case.
“The return isn’t the model.
It’s the adoption.”
Platform-neutral. We match the model to the work and the data, and mix them where that serves the outcome. Both enterprise plans include single sign-on and admin controls, and keep your data out of model training by default.
Auris is independent and is not affiliated with or endorsed by OpenAI or Anthropic. ChatGPT is a trademark of OpenAI; Claude is a trademark of Anthropic. Other model names belong to their owners.
Start withone use case.
Tell us the team and the work you have in mind. We will come back within one business day with where AI fits and what it should return.