On-premise AI agents: private language models on your infrastructure
An on-premise AI agent is a system built on an open language model (PLLuM, Llama, Mistral, Qwen, Gemma) that runs entirely on your company's servers - no data is sent to an external API provider. Pimento designs, deploys and maintains such agents for clients across Europe and worldwide, from its base in Warsaw.
How does an on-premise agent differ from ChatGPT?
With ChatGPT or any public API you send data to an external provider's infrastructure and pay per request. An on-premise agent runs on your hardware: data stays inside the company network, the model can be tuned to your processes, and costs are predictable because they come from hardware and maintenance, not token volume.
Which open models are fit for business use?
We match the model to the task and language. PLLuM is trained on Polish data and handles formal and business Polish well. Llama and Mistral are proven general-purpose models with a broad tooling ecosystem. Qwen stands out in multilingual and analytical tasks, Gemma works well with smaller hardware budgets, and Whisper covers speech recognition.
What can an AI agent do in a company?
We build autonomous agents, multi-agent systems and RAG assistants that answer questions based on company documents. Typical uses include document and request processing, knowledge search across internal resources, automation of repetitive processes and support for customer service teams.
How does the agent learn from company data?
The agent improves locally: we build evaluation sets from real cases, fine-tune the model on your data and keep the knowledge base current. Everything happens on your infrastructure, in line with the EU AI Act and GDPR.
What does the rollout look like?
We start with a free consultation and a needs audit, then build a proof of concept on a limited scope, and after its acceptance move to production deployment and maintenance. You pay for concrete, well-defined stages.
Questions about this service
Running a language model in production requires a GPU server - we help pick a configuration for the model size and number of users. We also design on-premise infrastructure from scratch if you don't have it.
Yes - PLLuM is a family of open Polish language models, and some of its variants are released under licences that allow commercial use. We match the model variant and licence to the specific deployment.
Then we deliberately reach for commercial APIs (OpenAI, Anthropic) - with the client's consent and within their data policy. In practice, a well-tuned open model is sufficient for most business tasks.
Yes - an on-premise agent can operate in a fully isolated (air-gapped) network. Model and knowledge-base updates are then delivered in controlled maintenance windows.
Let's talk about your project
A free consultation - no strings attached, focused on your case.