Corporate AI development and deployment in a secure environment
We deploy AI that works inside your rules: a gateway with access and cost control, agents for business processes, RAG and document processing – in the cloud (Azure, AWS, Alibaba Cloud) or on-premises on your own hardware.
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Models and architecture per the task, agreed with you
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Data under control: an isolated environment, logging, filtering
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Critical decisions always stay with a person
What we deploy
- An AI gateway – one controlled entry point to AI models: SSO sign-in, logging, prompt filtering and cost control
- AI agents for business processes – integrations with CRM, ERP and ticketing systems, with escalation to a person
- RAG and document processing – answers from your knowledge base and data extraction from documents
- MCP servers – connecting agents to your systems through an open protocol, with permission separation
- Process automation in n8n – when the scenario allows it, because a ready-made platform is easier to maintain
- Local models on-premises – open-source LLMs on your hardware (NVIDIA DGX, RTX PRO), in an isolated network
What you get
- A proposed architecture – we pick the models and the environment per the task and agree them with you, not the other way round.
- Access and cost control – who uses AI, on which model and how many tokens, with reports per user and department.
- Protected data – an isolated environment, filtering and logging of every request to external models.
- Support and development – after deployment we monitor the operation and extend the scenarios, under contract.
Why it stalls
Three things that stall corporate AI
If we do not solve them at the start, AI remains an expensive experiment instead of a tool inside the processes.
Shadow AI
Employees use personal accounts for work data – without control, logs or contracts.
Unpredictable bills
Token costs keep growing, but nobody knows who creates them or for what – they are tied neither to users nor to tasks.
AI outside the processes
AI lives in a separate browser tab – not in the CRM, the documents or the processes it should help.
Technologies
What we build the solution from
Nothing is fixed upfront: we pick the models, the cloud and the tools per the task, the security requirements and the budget.
Models
In the cloud: ChatGPT (OpenAI), Claude (Anthropic) and Gemini (Google), always through an AI gateway with logging and cost control. On-premises: open models (Llama, Mistral and others) through Ollama or NVIDIA NIM on your hardware.
Infrastructure
Managed Kubernetes in Azure, AWS or Alibaba Cloud, or a cluster in your own data center. CI/CD, a container registry, monitoring and logging (Azure Monitor, Amazon CloudWatch, Grafana).
Security
SSO (Microsoft Entra ID, SAML 2.0, OpenID Connect), prompt filtering, permission separation, logging and DLP controls. A person always confirms critical actions.
Data and integrations
PostgreSQL, MongoDB and S3 object storage. RAG over your knowledge base, MCP servers, connections to CRM, ERP and ticketing systems, and process automation in n8n.
How we deploy it
From task to support – in stages
Rules and architecture first, deployment second: that way the solution works inside your security requirements from day one.
Task and data analysis
We go through the processes, the documents and the security requirements. We propose what AI can realistically cover – and what it should not do.
Models and architecture
We pick the models and the environment (cloud or on-premises) and agree the security rules and the cost frameworks.
Deployment in a secure environment
We set up the gateway, the agents and the integrations, and test everything on your data and your systems.
Support and development
We monitor the operation and extend the scenarios. Maintenance continues under contract.
We also work with existing solutions: if AI already exists in your company, we join in as the development and upgrade team.
FAQ
Frequently asked questions
IT services
Other services
Work that most often goes together – and can be ordered separately.
IT infrastructure audit
A review of the building and infrastructure: what exists, what is missing and which work follows.
Wi-Fi site survey
Measurements and a plan: where each access point goes, how many are needed and why.
Installation and commissioning
From delivery to testing and handover: rooms, network, rack, displays.
Service and replacement
Diagnostics, in- and out-of-warranty service, RMA with the manufacturer.
Device rollout and management
Preparation, configuration, Autopilot, MDM and device delivery.
Video-conferencing software development
Integrations with Teams, Zoom, Meet and Webex, custom clients and self-hosted platforms.
All services
Several services in one quote
Services are arranged at your request. Describe the equipment, location and work you need, and we will prepare a quote with the agreed scope and schedule.
What is useful to tell us
- Which services you need and at which locations
- Whether the quote should include equipment as well
- By when the work should be completed
We will contact you to confirm your requirements.
Request a corporate AI quote
Describe the processes you want to automate and your security requirements – we come back with a proposed architecture and a deployment plan.
Considering corporate AI, with your data under control?
Send the description of the scenario – we set up an architecture conversation with no obligations. If a built-in function of your existing tools is enough, we will say so honestly.
