Make your knowledge usable.
Search documents, contracts and technical data, identify connections and prepare answers with references. Access permissions determine which content is available to each user.
On-Premises AI · Edge AI · High Knowledge
Local AI for
businesses
On-premises AI for small and medium-sized businesses: Your digital employee uses approved company knowledge, finds documents and prepares text and tasks. High Knowledge connects the AI appliance, local models, knowledge base, applications and managed operations, tailored to your data, processes and existing IT.
The complete High Knowledge AI stack
Your digital employee.
On-premises AI for your everyday work.
A question about a project, a report based on your documents or a draft reply: your digital employee connects company knowledge with the tools you use every day.
Local AI for businesses needs a coordinated AI stack. We integrate hardware, models, knowledge sources and applications, and support setup, training and operations. Our data centre planning and experience in certification preparation complement the AI integration. The assessment scope, evidence and certification body are agreed separately in each case.
In our own company, this platform operates under the name Nova. We adapt its knowledge, permissions and workflows to your organisation. You can also choose your digital employee’s name.
Your digital employeeDialogue, documents, speech and everyday organisation
Approved workflowsEmail, calendar, CRM and other integrations
Your company knowledgeDocument search with source references and access permissions
Local AI modelsModel selection, quality assurance and maintenance
Computing power and infrastructureAI appliance, GPU, networking, power and cooling
Support throughout the lifecycleSetup, training, monitoring, updates and documentation
Find knowledge
Search your own documents, prepare answers with source references and make experience accessible to your team.
Prepare work
Draft documents, organise emails, prepare appointments and connect recurring tasks through approved workflows.
Stay in control
Local processing, defined data flows and human approval before write operations or external actions.
Blue DC × Edge AI
AI appliance and infrastructure.
Planned together with Blue DC A.
Local AI needs more than powerful computers. It needs the right environment: power, cooling, protection, networking and defined operations. This is where we combine our data centre expertise with sovereign AI integration.
Built on Smart Essential
Our solution Blue DC A | Smart AI combines Blue DC E | Smart Essential with a locally operated AI platform and the complete High Knowledge AI stack. It is designed for businesses and public-sector organisations that want to run their own AI applications in a compact infrastructure.
Designed for your requirements
Model selection and concurrent usage determine computing demand. GPU power requirements and the cooling concept determine the technical environment. We assess these together before selecting hardware and infrastructure. Larger deployments can build on Blue DC M or X.
Each configuration is engineered for the project. Performance, protection scope and operating limits follow the agreed design and testing.
Control over data. Specialist knowledge. Operations.
From data centre to digital colleague.
High Knowledge extends its infrastructure expertise to sovereign AI systems for businesses, public organisations and regulated sectors. We use our own local AI platform in day-to-day work and apply that experience to your use cases.
More than a chat.
Draft reports and correspondence, organise incoming messages and prepare meetings. Agentic workflows connect individual tasks, with defined approvals before changes or external actions.
Local. Controlled. Supported.
Models and language processing on your own infrastructure, role-based access and an agreed operating model covering monitoring, tested updates and recovery.
Control over data is an architectural decision.
You decide
where your data works.
On-premises and Edge AI enable local processing of sensitive content. We define which data stays in-house, which interfaces are permitted and which functions should work without external AI services.
An agreed cloud or hybrid solution may be appropriate for less sensitive tasks. The boundary is deliberately designed and documented.
What we define together
- Protection requirements, data sources and permitted data flows
- Roles, permissions and separation of protected content
- Approvals, logging and quality checks
- Local models, hardware and performance requirements
- Remote maintenance, technical telemetry and update channels
- Backup, recovery and operational responsibilities
External research, email sending and remote maintenance each have their own rules. A local model alone does not guarantee a completely isolated data environment.
KRITIS · NIS2 · AI Act
Designed to support evidence.
For critical infrastructure and regulated organisations, we treat AI as part of a comprehensive security and operating concept. Risk analysis, access control, monitoring and emergency preparedness are aligned with your organisation's requirements.
Controlled autonomy
The system can process tasks independently within approved boundaries. Expert decisions and sensitive actions have defined human review points. References and additional checks support oversight; they do not replace it.
Project documentation covers architecture, data flows, responsibilities, configuration and agreed tests. It supports the evidence you provide to internal stakeholders and auditors.
Compliance depends on the specific use. Requirements under German critical infrastructure rules, NIS2/BSIG, data protection law and the AI Act depend on the operator, intended purpose and system integration, among other factors. A local installation or documentation pack is not a blanket certificate of compliance. Classification and required measures are established during the project.
A digital employee for your tasks.
KRITIS & technische Betriebe
Nova supports work with operating manuals, runbooks, risk assessments and audit documents. The platform can locate evidence, organise action lists and prepare incident notifications and situation reports.
Connections to operational control systems require separate assessment and safeguards. Notifications and safety-related decisions remain the responsibility of your specialists.
Unternehmen & Verwaltung
Draft proposals, reports, minutes and correspondence; analyse tenders; compare documents and extract structured data. Your company knowledge supports customer service, sales and staff onboarding.
Email, calendar, document storage and, if required, CRM are connected through defined workflows. Drafts and actions follow the agreed approval process.
Kanzleien & sensible Facharbeit
Summarise case files, create chronologies, locate relevant passages with references and prepare initial drafts of legal documents. Dictation, meeting notes and client reports can also be processed.
Deadlines and legal results require professional review. When involving service providers, we consider confidentiality, permissions and the necessary agreements; approval remains with the law firm.
AI expertise · Standards · Implementation
AI expertise that contributes to standards.
Bringing AI into your organisation requires more than a capable model. Data quality, risk management, traceability and dependable operations must fit together.
Our managing director Harry Knopf participates in the DIN/DKE Joint Committee on Artificial Intelligence and the European standards committee CEN/CLC/JTC 21 Artificial Intelligence. We combine this knowledge with our experience in designing and implementing data centre infrastructure.
For your project, this means considering technical capabilities and organisational requirements together from the outset, from data sources and permissions to human oversight and documented operating procedures.
More about European AI standardisation at CEN and CENELEC · Discuss your AI project
Set up. Adapt. Support.
From your first application to ongoing operation.
We start with a specific workflow and your approved documents. We build the appropriate platform around them and commission it together with your team.
Einrichtung & Integration
Prepare the AI appliance, connect knowledge sources, configure roles and access, and agree templates and workflows. Training introduces your team to the capabilities and limitations.
Service & Weiterentwicklung
Monitoring, security updates, model maintenance, backup and recovery planning, and documented releases. Support, training and customisation depend on the agreed service scope.
More capacity when needed
We expand computing capacity for larger models, long documents or multimodal tasks. Expansion can take place on your premises or, by separate agreement, in a hosting environment managed by High Knowledge.
For local operation, the agreed AI functions process your content on your premises. External research, email delivery, hosting and remote maintenance are defined as separate data flows. Professional confidentiality entails additional requirements for access and service-provider agreements.
Cloud AI or local AI: which fits your business?
Cloud AI can be economical for a quick pilot with variable usage. On-premises AI is particularly relevant when data should be processed locally, applications are closely integrated with internal systems and computing capacity is used regularly. A clearly defined hybrid solution may also be suitable.
We compare answer quality, response times, protection needs, integration and operations using the same tasks. The cost calculation includes hardware, deployment, licences, energy and staffing as well as usage-based cloud charges. Local installation is neither automatically cheaper nor automatically compliant.
Compare cloud AI and local AI: cost example and decision criteria →
Four steps to your AI platform.
Would you first like a structured assessment of use cases, agentic AI, hosting and regulatory requirements? Our sovereign AI and agentic AI consulting supports SMEs, enterprises and pharmaceutical companies from analysis to deployment.
01
Understand
Identify use cases, protection requirements and measurable objectives.
02
Design
Define architecture, control over data, hardware and the operating model.
03
Test
Build the platform, check permissions and evaluate results together.
04
Operate
Monitor the system, introduce updates under control and expand applications step by step.
Your questions about sovereign AI.
Can the platform operate entirely without the cloud?
Local models, document search and language processing can run on your infrastructure. We agree with you which functions should be available without internet access and which interfaces are needed.
How autonomously does the system work?
Within agreed workflows, AI can prepare and process tasks independently. Approvals and limits are defined for sensitive actions, changes and external operations. Independent control of critical facilities is not a standard element of the offer.
Who checks the results?
References, validation rules and, where appropriate, an additional model-based review support quality assurance. The responsible person reviews and takes responsibility for technically significant results before they are used.
Is operating AI in-house always the right choice?
No. We compare local, cloud and hybrid options against protection requirements, integration, availability and operational effort. The result should fit your needs.
Prepare for sizing
How much AI capacity do you need?
Estimate request volumes and theoretical memory requirements for model weights. The calculator makes assumptions and limits clear and prepares the ground for subsequent benchmarking.
Let's talk about your data.
Experience sovereign AI
on a working system.
We will demonstrate the possibilities and identify which use cases make sense for your organisation.
Your route to the right service
All topics at a glance.
From consulting to implementation
- Sovereign AI & Agentic AISovereign AI for SMEs, enterprises and pharma: analysis, deployment, EU AI Act requirements and operation on your premises or in our German data centre.
- HPCPlan infrastructure for high-performance computing and local AI. Coordinate computing load, electrical supply and cooling with High Knowledge.
- Blue DC A | Smart AIBlue DC A connects modular data centre infrastructure with your digital employee: GPU hardware, local AI, a knowledge base, applications and support.
- Data centre and Edge AI calculatorsCalculate data centre KPIs: PUE and energy demand, availability and downtime, rack density and Edge AI requirements. With transparent assumptions.
A brief conversation to clarify your next step.
Leave your number, topic and preferred time. We will call you back.