On-Premise AI Deployment
Build AI applications on your own equipment, so your data never leaves the company.
Book a free consultation→Build AI applications on your own equipment, so your data never leaves the company.
Who it is for
- Companies handling customer data, design drawings, or financial data that cannot be uploaded to the cloud
- Organizations with many internal documents where people spend time hunting for information
- Teams that want AI to help write reports and summarize meeting notes
- Companies that have finished AI mapping and are ready to take pilots live
What we do
Model selection and deployment
Choose a suitable open-source model for your needs and deploy it on your own equipment.
Internal knowledge base
Turn regulations, manuals, and technical documents into a searchable knowledge base you can query in natural language.
Application interface
Build an easy-to-use web interface integrated with your existing accounts and permissions.
Permissions and logs
Set which data each department can access, and keep usage logs.
Security design
On-premise deployment, encrypted connections, and access control, with no external exposure.
Training
Teach staff how to ask and how to verify answers, to avoid over-reliance.
How it works
Requirements confirmation
Use cases and data scope.
Environment setup
Equipment, model, and network configuration.
Application development
Build the knowledge base and interface.
Testing and tuning
Test with real questions and adjust.
Go-live and training
Launch and train staff.
What you get
On-premise AI application
A deployed system ready for daily use.
System documentation
Architecture, configuration, and maintenance notes.
User training
User manual and training sessions.
FAQ
Are on-premise models dumber than cloud ones?
On specific tasks the gap is small, especially document Q&A and summarization. We test with your actual documents and go live only once quality is acceptable.
Who maintains it after launch?
Your staff can maintain it using our documentation, or you can sign a maintenance contract and we will update the model and check the system regularly.
Can it connect to our existing systems?
Yes. Common document servers, NAS devices, and internal systems can be connected through interfaces; the actual approach depends on your current architecture.
Related services
AI Adoption Planning
Map your processes, find the work truly worth applying AI to, and set the order before building anything.
On-Prem AI Hardware
Based on your model, user count, and data volume, we pick servers, GPUs, and storage that are just enough.
AI × Energy Management
Use AI to catch abnormal usage and forecast peak load, making energy savings and storage dispatch more precise.
From one kWh to one tonne.
Tell us about your situation. We reply with initial advice within 3 business days.