The term Private AI is increasingly appearing in conversations about corporate data security and digital transformation. But what exactly is private artificial intelligence, and why are more companies – from law firms to accounting offices to marketing agencies – choosing it over popular public tools?
What Is Private AI?
Private AI is a model of AI deployment in which the language model (LLM) runs within a dedicated, isolated infrastructure controlled by the company or its trusted operator – not by global cloud providers.
Simply put: instead of sending your questions and documents to servers in the USA, Private AI processes them locally. Your data never leaves the secure infrastructure.
How Does It Work in Practice?
When you use popular public AI tools, your queries go to tech giant servers outside the EU. These operators may – depending on their terms of service – use this data for further model training.
Private AI works differently:
- You type a question or paste a document into the interface (e.g., through a browser)
- The query travels via an encrypted connection to a dedicated server in the EU
- The AI model processes the data locally and sends back a response
- No information goes to external databases or is used for training
Private AI vs Public AI – Key Differences
| Criterion | Public AI | Private AI (aikeep.io) |
|---|---|---|
| Server location | USA / outside EU | EU |
| Data owner | Global operator | Your company |
| Model training risk | Yes (often enabled by default) | No – model is "frozen" |
| GDPR compliance | Requires DPA and SCC agreements | Automatic |
| Query limits | Yes (e.g. 40 per 3 hours) | No limits |
| Costs | Per user, growing with scale | Fixed, predictable |
| Control and audit | No visibility into processing | Full transparency |
Why Do Companies Need Private AI?
1. Protecting Business Secrets
Every document you paste into a public chatbot leaves your environment. Client contracts, product strategies, financial data – all of this can end up on servers outside the EU and potentially enrich models trained by the operator.
2. GDPR Compliance
Sending personal data to an operator outside the EU without a proper legal basis is a GDPR violation. Private AI eliminates this problem entirely – data never leaves the European Union.
3. No Leakage Risk Through the Model
In public AI, there is a scenario where information pasted by one user may – through model learning mechanisms – appear as suggestions for another user. In Private AI, models are not trained on user data, so this risk does not exist.
4. Unlimited Access and Reliability
Public AI tools have query limits and can be overloaded during peak hours. A private AI instance works exclusively for your company – 24/7, without queues or restrictions.
5. Predictable, Fixed Costs
Instead of paying per user at rising rates, Private AI is a fixed monthly cost regardless of the number of queries.
Who Needs Private AI Most?
- Law firms – documents with NDA clauses, case files, client data
- Accounting firms and financial companies – data covered by fiscal and banking secrecy
- HR departments – CVs, personal data of candidates and employees
- Marketing agencies – client strategies, briefs before campaign launches
- Technology companies – source code, project documentation
- Any company processing client data – because GDPR applies to everyone
Private AI at aikeep.io – What Does It Look Like?
aikeep.io is a ready-made Private AI environment based on the Mistral Small 3.2 24B model – an enterprise-grade open source model – hosted on private infrastructure in the EU.
Browser access. Zero technical configuration. Deployment in 5 minutes.
- ✅ Servers in the EU – data never leaves Europe
- ✅ No training – your conversations and documents are yours alone
- ✅ No limits – unlimited number of queries
- ✅ Fixed cost – Freelancer 17 EUR/mo, Small Team (5 users) 70 EUR/mo
Explore aikeep.io plans and deploy Private AI for your company →
Frequently Asked Questions about Private AI
What is Private AI?
Private AI is a model of artificial intelligence deployment where a language model (LLM) runs in dedicated, isolated infrastructure in the EU — controlled by your company or a trusted operator. Unlike public AI tools, your data never leaves the secure environment and is not used for model training.
What is a private AI model?
A private AI model is a large language model (LLM) — such as Mistral — deployed on a private server rather than shared cloud infrastructure. It gives companies the same AI capabilities as public tools, but with full data sovereignty and GDPR compliance by design. The model is "frozen" — it does not learn from your conversations.
What is Private AI for business?
Private AI for business is a dedicated AI assistant running on EU servers exclusively for your company. Employees can freely use it for drafting documents, legal analysis, contract review, and Q&A — without the risk of leaking trade secrets, client data, or GDPR-protected personal information to external systems.
What are Private AI solutions?
Private AI solutions include self-hosted AI models, managed private AI clusters (like aikeep.io), and on-premise AI deployments. They all share one key principle: your data stays within your control and never reaches public cloud providers outside the EU.
How much does Private AI cost?
Private AI costs are flat-rate and predictable. aikeep.io offers a Freelancer plan at €17/month (1 user) and a Small Team plan at €70/month (5 users) — compared to per-user public AI subscriptions that often reach €20+ per user per month and grow as your team scales.
What does Private AI infrastructure consist of?
Private AI infrastructure includes: a language model (LLM) running on a dedicated GPU server, a browser-based web interface for users, an encrypted data transfer tunnel, EU data center hosting, and user access management. At aikeep.io, all of this is fully managed for you — no IT team or technical configuration required.