Use AI fully, with your data staying in your own systems
For organisations whose data cannot leave the building, we install the AgenticOS platform on your servers or private cloud, with AI models that can run in-house. AI answers questions, searches documents and takes over call and paperwork tasks — under the control of your own IT team.
- Installed in-house
- Locally run AI models
- Controlled by your IT
- Isolated networks possible
From 'we can't use AI, the data is confidential' to AI at home
The benefits of AI without sending sensitive data outside.
External cloud AI not allowed
Processed on your own servers
Staff answer everything
AI answers from internal documents with citations
Done by hand
AI assists under human approval
Depends on an outside provider
Run by your IT team
Hard to trace
Audit log stays in your systems
| Issue | Traditional | Private AI |
|---|---|---|
| Confidential data | External cloud AI not allowed | Processed on your own servers |
| Answering questions | Staff answer everything | AI answers from internal documents with citations |
| Repetitive work | Done by hand | AI assists under human approval |
| Control | Depends on an outside provider | Run by your IT team |
| Audit | Hard to trace | Audit log stays in your systems |
Install, configure and support — end to end
We assess your infrastructure and choose an architecture that meets your requirements.
Platform installation
AgenticOS on your servers or private cloud with Docker.
Locally run models
Language models that run in-house, e.g. via Ollama or vLLM, sized to your resources.
Internal knowledge base
Internal documents searched and answered without leaving the organisation.
Users & roles
Users, roles and permissions mapped to your structure.
Security
Network, access and encryption set to your policies.
Support & updates
Maintenance, updates and knowledge transfer to your IT team.
For organisations whose data must stay inside
Assessed together with your IT and information-security teams.
Public sectorGovernment, state enterprises & local authorities
- Agencies holding citizen or security data
- Public hospitals with health records
- Energy and utility state enterprises
- Agencies working on closed networks
Private sectorPrivate businesses of every size
- Banks, insurers and financial institutions
- Private hospitals and clinic chains
- Factories with production data and formulas
- Companies whose policy forbids sending data outside
Designed to your requirements
Some capabilities, such as real-time voice, may need a cloud model — we'll assess the options against your requirements.

On-premise or private cloud
Your data centre or your private cloud.
Mix of models
Local models for sensitive work, cloud models for general work where policy allows.
Database-level isolation
Row-level security separates each unit's data.
Audit log
Tamper-proof record of every action.
Role-based access
Module and data access following your structure.
Internal systems
Connect existing systems on your internal network via API.
Live in 4 steps
- 01
Consult & define
Assess data, network and server requirements.
- 02
Design & load data
Design the architecture and choose AI models.
- 03
Integrate & test
Install, security-test and load data.
- 04
Run & improve
Hand over, train your IT team and support ongoing.
FAQ
What servers are needed?+
It depends on users and the models chosen; locally run language models usually need GPUs. We size it to your real workload.
Can everything run in-house?+
Most of it. Some capabilities, such as real-time voice, may need a cloud model — we'll be clear about which parts send data out and which don't.
Who runs it after installation?+
Gramick House can operate it, or we hand it over to your IT team with training.
How much does it cost?+
It depends on the scope and the systems to connect. We scope it for free after hearing your requirements.
Free consultation, designed around your organisation
Tell the Gramick House team what you need. We scope the work, timeline and cost for free and demo the real system — for government agencies, state enterprises and private companies.



