Pixelschnitzel sets up AI systems that, on request, run inside your own infrastructure or in a controlled environment for more privacy, more control and closer proximity to your processes.
On-premise AI means AI systems don't have to run exclusively through public cloud services. Depending on the use case, they can run locally, close to your servers, in a private environment or in a suitable data centre, depending on the model, the security requirements and the area of use.
Which operating model really fits is something we work out together in a sober analysis, not in a sales pitch.
On-premise AI isn't automatically better, it's different. Which model fits which data and which use case depends on the specific setup. We help you make the decision with a clear head.
Draft pleadings, search case files, analyse contracts, with an AI that can access internal documents without those documents flowing into public services. Data protection and professional duties stay part of the architecture, not just the terms and conditions.
Draft doctor's letters, summarise findings, make knowledge from clinical guidelines searchable, on request in a controlled environment. Which data may be processed and how is something we clarify together with your data protection officer.
Requirement specs, engineering data, strategy papers, supplier contracts made usable locally, without internal information flowing uncontrolled into external systems. Integration into existing ERP and document systems is part of the concept.
File research, draft reports, internal knowledge assistants, on your own or dedicated infrastructure, with clear roles and audit trails. Specifically for the public sector we have a dedicated service page.
Test series, patent research, study protocols, on-premise AI can make content accessible without research results ending up in external training data. Exactly where confidentiality matters more than convenience.
Claims reports, dossiers, internal research, AI support in an environment that fits regulatory requirements. Which operating model fits the supervisory regime and your risk management we clarify on a project-by-project basis.
You decide where your data is processed, and which data goes into the AI in the first place.
Open-source models, documented interfaces, interchangeable components, no vendor lock-in to a US hyperscaler.
Models and applications can be adapted to your language, your documents and your processes.
Connection to ERP, DMS, CRM, knowledge bases, mail systems not as an island, but as part of your working world.
Your own documents, policies, contracts and processes become the data basis, not general knowledge from the public internet.
To data protection, IT security, the works council and management you can explain exactly where which data ends up, and where it doesn't.
Anyone who has built up software, data and knowledge over the years benefits especially from AI that can draw on that substance, and doesn't mirror it into someone else's systems.
Professional and confidentiality obligations often leave little room for cloud AI. On-premise AI can be a way to gain efficiency without weakening your own position.
Patient data, care records, sensitive communication, AI use here has to be thought through with particular care. On-premise models open up options.
Engineering and process data rarely belong in public services. On-premise AI connects to machine, ERP and logistics data right where it's already created.
For the public sector we have a dedicated page on the use of on-premise AI in public administration, with a particular focus on data protection, procurement and acceptance.
Where an in-house IT team carries responsibility, an integrable, documented AI architecture is often more valuable than a sealed-off SaaS contract.
We recommend, procure and install, from a workstation server to a GPU rack in your own data centre. Alternatively dedicated with a German host, if you'd rather not build up your own hardware.
We pick the right model for your use case, and swap it out when a better one comes along. Commercially usable, without API lock-in, on request with fine-tuning on your data.
Chat interface, RAG over your knowledge base, connection to ERP, DMS or CRM, workflow automation. We build the interfaces, cleanly documented, open-source on request.
30 power users × 4 million tokens per month. Mid-range model, enterprise tier, plus data-processing and audit effort.
One GPU server, setup by Pixelschnitzel, a flat maintenance fee. Models, updates and user growth included, with no token counter.
Every project is individual, which is why there are no list prices. Hardware prices are currently highly volatile and only count as a same-day snapshot. With us, AI projects start from €10,000. On request we put together the full business case with concrete ROI comparing cloud vs. on-premise. Concrete figures after the 30-minute initial call, with no obligation.
Which data can go in? Which use cases are genuinely worthwhile? We prioritise by effort × benefit, and tell you honestly what isn't worth it.
Set up the server, install the models, configure the RAG pipeline. First tests with real sample data. Security audit in coordination with your IT.
ERP, DMS, mail, knowledge base, we connect what belongs connected. The AI answers questions about your company, not from the public internet.
We train your people, management, departments, IT. Monitoring is in place, the maintenance routine is running. You're productive and independent.
An AI system on your infrastructure or in your dedicated environment, installed, configured and adapted to your use cases.
A searchable knowledge base from internal documents, policies and process descriptions, on request with source references in the answers.
Clear documentation for IT, data protection and management. So your organisation can carry on its own what we've built.
An introduction for users and departments, including clear guidance on what the AI may and may not do, and where its limits lie.
Consulting, software development and AI
from a single source
so concept and execution fit together.
Every project is different, so we don't work with list prices. We make the numbers transparent before any investment — including a business case and a concrete ROI if you want one.
Built around your business processes. From a small tool to a complete platform. What it costs and what it returns — we'll tell you after the first call.
RAG, chatbots, on-premise models, OCR, mail classification. We start where AI delivers measurable value — not where the hype is.
Server and GPU prices are highly volatile right now. We provide an up-to-date calculation before you approve any order.
Lean structures. No sales machine that costs more than the development itself. No corporate overhead. Thanks to our lower cost structure, we're below market price for comparable work — provable in a side-by-side quote.
On request, we calculate a complete business case with a concrete ROI before the project starts. So you decide on impact, not on price.
As soon as a problem is technically solvable, we're on it. There is no "can't be done" here without a reason — and usually with a pragmatic alternative.
In 30 minutes we'll work out together which use cases make sense for you, which operating models are worth considering and what a first, manageable step could look like. No slides, no sales pitch.