TonsleyAI is sovereign AI for European organisations: private AI that runs entirely inside your own environment, so you decide who can read what you put in, whose law applies to it, and whether you can switch it off and keep working. Open-weight models, fine-tuned on your data. Built for the AI projects that cannot afford to leak - finance, healthcare, government, regulated SMEs.
The hosted models are powerful. They are also a one-way data pipe to a third-party vendor, who decides what is kept and who gets to review it. For finance, healthcare, government and any SME in a regulated sector, that is the end of the conversation.
Storing data in the EU does not settle it. A provider headquartered outside the EU remains subject to its home country's law wherever its servers stand - and so do the documents, customer records and IP you fine-tune into its model.
Vendor-hosted models update on the vendor's schedule, not yours, and stop when the service does. Compliance evidence built against version A is invalid against version B.
TonsleyAI answers all three the same way: the open-weight model runs in your environment, the data stays in your environment, the version moves only when you decide.
A working framework for buyers - the six ways AI gets deployed today, and what each costs in data control. TonsleyAI is the no-risk option at the bottom of the table.
AI Deployment
Vendor Data Access
Best Use Case
Data Exposure Risk
Free Public AI
Meta AI, Grok, Claude, DeepSeek, Kimi, ChatGPT
Vendor data accessYes
(incl. model training)
Best use casePublic data & market research
Data exposure riskExtreme
Paid Public AI
OpenAI ChatGPT, Google Gemini, Anthropic Claude
Vendor data accessYes
(model training opt-out)
Best use casePublic data & market research
Data exposure riskVery High
Product AI (SaaS)
Microsoft Copilot, Salesforce Agentforce, Atlassian Rovo, HubSpot Breeze
Vendor data accessYes
Best use caseNon-sensitive operational data
Data exposure riskHigh
Enterprise AI
OpenAI ChatGPT Enterprise, Claude Enterprise, Gemini Enterprise, Mistral Enterprise
Vendor data accessYes
Best use caseNon-sensitive operational data
Data exposure riskMedium
Semi-Private AI
Open Telekom Cloud, Scaleway AI, STACKIT AI, Azure AI Foundry, AWS Bedrock, Google Vertex AI
Vendor data accessMaybe
(See contract)
Best use caseNon-sensitive and internal data
Data exposure riskLow
Private AI
TonsleyAI - our recommended deployment for sensitive work (your cloud or on-premises)
Vendor data accessNo
Best use caseSensitive & proprietary data
Data exposure riskNo
Telekom, Mistral or Azure - your tenant, your account, your VPC. Open-weight frontier models deployed inside your private network with no internet egress for model traffic. EU-resident regions by default for European customers, with full audit logging and IAM-based access control. The most flexible mode and the one we deploy most often.
Your private cloud plus the hyperscalers’ frontier models. Azure OpenAI, AWS Bedrock or Google Vertex AI accessed from your tenant - data and orchestration stay inside your perimeter, the heavy lifting runs on managed AI services. EU-resident endpoints by default. The pragmatic middle ground when full private deployment is overkill. Sovereign over storage, not over processing - so not the mode for your most sensitive work.
Your data centre, your hardware, air-gapped where required. We deploy the full TonsleyAI stack onto GPU servers you own - typical configurations run open-weight models up to 120B parameters on a single node, larger ones across a small cluster. The mode for finance, defence, healthcare and any work where data physically cannot leave the premises.
Pre-configured hardware appliance shipped to your office and live in a day. Built for SMEs that want private AI without provisioning cloud infrastructure or running their own data centre - open-weight models up to 200B parameters, the same orchestration layer as our larger deployments for a fraction of the costs, and ongoing remote operations from our team included.
Everything your organisation has written or signed, made answerable - in your own terminology, across many documents at once, with every answer citing its source so it can be checked rather than trusted.
One question across the systems you already run - CRM, ERP, finance, scheduling - answered from live records through 500+ pre-built integrations. Routine work such as enquiry handling runs end to end, with every action logged.
BevSage is operated by Hydra Consulting in partnership with Moots Technology, run-e’s Australian subsidiary, and built on the TonsleyAI platform. The product gives beverage producers a sales-and-marketing co-pilot - generative AI tuned for storytelling, pricing strategy, distributor prospecting and market-entry advice. Live in market today; built on the same architecture we deploy for European customers.
Read The BevSage Case →Book thirty minutes with the team that would build it. Bring your use case and your data constraints - we will tell you which of the two builds fits, and where it is allowed to run.
