Your cloud tenant
Data lives in your Azure, AWS or Google Cloud account, using model services inside it. Best for companies already on a major cloud. Trade-off: usage-based cost under provider terms you already accept.
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Private AIAI on your company data, inside your own environment.
Your teams want to use AI on contracts, procedures, tickets and records. Your security team wants to know where that data goes. We build so both get what they need.
Deployment options
On premises
Data stays on your servers, with open models. Best for strict data residency or where no cloud is allowed. Trade-off: hardware cost, smaller models, more upkeep.
Hybrid
Sensitive data stays local, low-risk tasks use cloud models. Best for mixed data sensitivity. Trade-off: two setups to run.
What we build
Internal assistant
Answers from your documents, only from what each person is allowed to open.
Search
Across shared drives, wikis and ticket history.
Summaries
Of tickets, incident reports and long documents.
Drafting help
For standard documents and replies, with a person sending.
Controls we design in
Agreed with your security team during scoping.
- Sign-in through your existing identity provider
- Answers limited to what each person can already open
- Logging of prompts and responses for review
- Retention and model provider data terms reviewed with you
- Testing against a set of your real questions before rollout
Questions
Is a private model as good as public chat tools?
For focused tasks on your own documents it is often good enough, because answers are grounded in your content. We test on your real questions before you decide.
What hardware do we need on premises?
It depends on model size and number of users. We size it during the assessment and give options, including a cloud tenant path if hardware is not practical.