AI Suite — generative AI that runs inside your network.
Three components — AI Server, AI Client, and AI Admin Console — deployed entirely inside your environment. Your prompts, your documents, your model outputs, and your audit logs never leave the perimeter. Built for organisations in compliance-heavy industries that cannot use cloud LLM providers.
What AI Suite is for
AI Suite is Software Tailor's private AI platform for organisations that cannot send their data to public cloud AI providers. It pairs on-premises infrastructure — AI Server, AI Client, and AI Admin Console — with account-connected desktop apps — AI Email Client, AI Calendar, and AI Meeting Assistant — so your team can use AI directly inside the email, calendar, and meeting tools they already work in, while your data stays under your control.
How AI Suite uses your Google account
If you choose to connect a Google account, AI Suite signs you in with Google using OAuth and requests only the access needed to power the feature you are using:
- AI Email Client connects to Gmail (over IMAP and SMTP) so you can read, search, organise, draft, and send your email with AI assistance.
- AI Calendar and AI Meeting Assistant connect to Google Calendar to view and create events and to prepare and organise your meeting notes.
How your Google data is handled
- Your email and calendar data is processed on your own device and, where configured, on your organisation's on-premises AI Server. It is never sold, never shared with third parties for their own use, and never used to train advertising profiles or general-purpose AI models.
- AI Suite's use of information received from Google APIs adheres to the Google API Services User Data Policy, including the Limited Use requirements.
- You can disconnect your Google account at any time from within the app, and you can revoke AI Suite's access from your Google Account permissions page.
For full details, see our Privacy Policy and Terms of Service.
On-premises end to end
AI Server hosts the generative model on hardware you control (on-prem GPU, private cloud, or air-gapped lab). AI Client runs on each workstation and connects to AI Server over your network. AI Admin Console gives IT a single pane of glass for licences, enrollments, policy, and audit. No component ever needs to reach the public internet at run-time.
Cloud AI vs. Local AI Suite
| Concern | Public cloud LLM | Local AI Suite |
|---|---|---|
| Where your prompts go | Out to the vendor's API. | To AI Server on your network. |
| Where your documents go | Uploaded to the vendor (or to a vector DB they manage). | Stay on your storage; retrieval runs locally. |
| Data residency | Wherever the vendor's region runs — re-check on every contract. | Wherever you put the server. Period. |
| Per-token cost | Per call, scales with usage. | Capex on hardware; usage is free at the margin. |
| Air-gapped or offline use | Not possible. | Supported by default. |
| Audit & compliance evidence | You depend on vendor reports. | Logs and policy live in your IT environment. |
Three pieces, one suite
AI Server
Hosts the generative model on your hardware. Supports OpenAI GPT-OSS 20B and 120B and other open-weight models. Exposes an OpenAI-compatible API to clients on your network.
Learn more →AI Client
Desktop app that talks to AI Server from each workstation. Chat, document Q&A, drafting, summarisation — all served by the model running inside your network.
Learn more →AI Admin Console
For IT administrators. Manage members, license assignments, AI Server enrollments, policy, and audit logs. Sign-in via Microsoft Entra ID or Google Workspace.
Learn more →Built for regulated environments
Where it runs
- On-prem GPU servers (Linux or Windows).
- Your private cloud tenant — AWS, Azure, GCP, or any other.
- Air-gapped or offline labs (no run-time internet required).
Why customers pick it
- Data residency: data physically stays where you put the server.
- Audit: logs live in your IT environment, not the vendor's.
- Cost: predictable hardware capex instead of per-token billing.
- Custom models: you can run open-weight models we have not even shipped yet.
Talk through your deployment
Start with a free 1-week pilot sprint. We will walk through your hardware, security, and compliance constraints during the scoping call, then ship a working deliverable by Friday.