Data cannot leave the company
General-purpose LLMs run in the provider’s cloud, so documents, customer data and know-how have to be sent there — and your policies, clients or the GDPR don’t allow it.
On-premise AI
AI on your servers — data stays out of the cloud, and the cost doesn’t grow with every query
On-premise AI by Coblit is the deployment of an AI system entirely on the client’s own servers and resources — with no data transferred to the cloud. Instead of a general-purpose LLM, we build a private, dedicated domain-specific model trained for a specific company task. In the tasks it is trained for, according to Coblit’s internal research, it reaches 95–100% accuracy and responds in about 100 ms, and its cost is fixed rather than charged per token.
- 95–100%
- accuracy in the tasks the model is trained for (general LLM: 60–70%, Coblit’s internal research)
- ~100 ms
- response time of the domain model instead of 2–3 s for a general LLM
- fixed cost
- instead of per-token fees — the margin doesn’t shrink as volume grows
- 100% on-premise
- the model runs on the client’s servers; data is not transferred to the cloud
Who it is for
- Companies that cannot send data to the cloud or to public AI
- Healthcare and pharma
- Legal, finance and the public sector
- Employment agencies and HR handling candidate data
- Companies building AI-based products and processes where margin matters
- Companies with thousands of repetitive decisions a day (classification, extraction, scoring)
Problem
What is costing you the most today
The token bill grows with volume
A general LLM charges for every query. The more processes and customers AI handles, the higher and less predictable the cost — and the margin on an AI-based product shrinks.
Answers with errors and hallucinations
According to Coblit’s internal research, a general LLM gets narrow company tasks right in 60–70% of cases and can make up an answer, so every result has to be checked.
Waiting 2–3 seconds for an answer
Cloud model latency slows down processes with thousands of decisions and real-time customer service.
How it works
Three steps to results
- Analysis of the data and the task.We check what data the company has and what task the AI is to perform — e.g. document classification, data extraction, scoring — and agree how we will measure accuracy.
- A private, dedicated domain-specific model.We build a domain model trained on the client’s data for that one task, instead of using a general LLM for everything.
- Deployment on the client’s servers.Coblit specialists run the AI system fully on-premise, on the company’s own resources and servers, with access control and usage logs — data never goes to the cloud.
- Maintenance and development.We monitor the model, retrain it on new data and extend the system with further tasks.
See how we run a project from analysis to deployment
What exactly we do
- On-premise AI deployment on the client’s servers and resources
- A private, dedicated domain-specific model instead of a general LLM
- Classification and scoring (e.g. tenders, documents, candidates)
- Data extraction from documents
- Integrating the model with company systems
- Maintenance, monitoring and retraining of the model
Works with your systems
- Client servers (on-premise)
- The company’s own infrastructure
- Document systems
- CRM, ERP and industry systems
- Google Cloud Platform — if the client prefers the cloud
Portfolio
We have already done this for
Security
Your data stays with you
- The model runs fully on-premise — data is not transferred to the cloud
- Data doesn’t go to OpenAI, Google or Anthropic and doesn’t train external models
- The domain model doesn’t hallucinate in its domain — it answers only within the task it was built for and doesn’t make up answers beyond it
- Access control and usage logs
- Support with GDPR and AI Act compliance
Cost and time
What it costs and how fast it works
We quote the price and deployment time of on-premise AI individually — they depend on the task, the data and the client’s infrastructure. We start with a short analysis, after which you receive a concrete proposal.
FAQ
Frequently asked questions
What is on-premise AI?
It’s an AI system running on the company’s own servers and resources instead of in a provider’s cloud. Coblit deploys AI fully on-premise, so data is not transferred to the cloud.
Can AI run on our own server, without the cloud?
Yes. Coblit builds a private, dedicated domain-specific model tailored to the company’s task and deploys it on its servers — we have specialists for this.
Can an LLM be deployed on-premise?
Yes, but for many tasks a domain-specific model works better. According to Coblit’s internal research, in the tasks it is trained for it reaches 95–100% accuracy and ~100 ms response time, while a general LLM reaches 60–70% and 2–3 s.
Does on-premise AI send data to the cloud?
No. The model runs on the client’s infrastructure, so data is not transferred to the cloud or to ChatGPT, Gemini or Claude, and doesn’t train external models.
Is there AI without hallucinations?
Coblit’s domain-specific model doesn’t hallucinate in its domain. It answers only within the task it was built for — classification, data extraction or scoring on the client’s data — and doesn’t generate free-form text outside it, so it doesn’t make up answers beyond its domain.
How much does an AI model with a fixed cost instead of tokens cost?
We quote individually. A domain model has a fixed cost rather than a fee for every query, so AI-based processes and products keep their margin as volume grows.
How long does an on-premise AI deployment take?
We set the deployment time individually after analysing the data and the task. For comparison, we launch the AI tender analysis system with a dedicated model in 60 days.
Does Coblit already have deployments with a dedicated model?
Yes. For an international pharmaceutical company we built a tender analysis model trained exclusively on the client’s data — work that required more than 10 people is now done by 3.
Let’s talk
Let’s see what On-premise AI will change in your company
A 30-minute call with no sales pitch. We will tell you straight whether it pays off.
Let’s talk about AI on your serversGet in touch
Let’s talk!
Tell us what takes up most of your team’s time or what system you want to build. We will reply within 48 hours and suggest a 30-minute call.
office@coblit.com+48 602 444 299+48 600 242 170