werqly Pro management
Your own server room
We operate the node and the models
— per month
—
- Data never leaves your premises
- No outside party in the processing
- Updates, monitoring and support by werqly
Private AI knowledge base
Practical answers for the people responsible for data, security and compliance. What goes wrong when AI runs outside your control, what the rules ask of you, and how to bring AI into your own environment.
What is private AI? Meaning, forms and when you need it
Private AI means language models run on infrastructure that belongs to your organisation alone. What it is, which forms exist and when it is the right choice.
Read the article →Is ChatGPT GDPR-compliant for your organisation?
Can your organisation use ChatGPT under the GDPR? The difference between free and business use, when it becomes a data breach and what you need to arrange.
Read the article →Shadow AI: what to do when staff use ChatGPT on their own
Shadow AI is AI use outside IT’s view. Why a ban alone does not work, what happened at the Dutch city of Eindhoven, and how to bring it under control in five steps.
Read the article →The EU AI Act in 2026: what must your organisation have in place?
The AI Act after the Digital Omnibus: what applies now, what is postponed to 2027 and what you must arrange as a user of AI. An overview with timeline and checklist.
Read the article →An on-premises LLM server: what do you need?
What does it take to run a language model in your own server room? GPU memory per model, concurrent users, software, power and cooling, and the operations around it.
Read the article →Microsoft 365 Copilot or your own AI environment?
Microsoft 365 Copilot or AI in your own server room? A fair comparison on data, privacy, the CLOUD Act, control, and when each choice fits your organisation.
Read the article →AI in healthcare: patient data, hosting rules and the GDPR
Can a care organisation use AI with patient data? What medical confidentiality, the GDPR and hosting rules (NEN 7510, C5, HDS) require, and how to do it safely.
Read the article →AI for law firms: professional secrecy and bar guidance
May a lawyer use ChatGPT for client files? What professional secrecy and bar guidance on AI (CCBE, NOvA, BRAK, CNB) require, and how a firm uses AI responsibly.
Read the article →AI at financial institutions: DORA, outsourcing and the AI Act
What does DORA mean for AI at banks, insurers and investment firms? Outsourcing, the register of ICT providers, the exit strategy and high-risk rules in the AI Act.
Read the article →Calculator
Calculate your private AI costs.
Enter your work email and number of employees. We work out four setups for you straight away: in your own server room or in our datacentre, self-managed or with werqly Pro management. werqly is not a cheap AI subscription: you pay for your own hardware and full control.
- 1Enter your email and number of employees
- 2Compare four proposals
- 3Request a quote straight away
Working out the proposals…
Your own server room
Your node in your own server room or rack
werqly Cloud
No server room? A locked rack in our EU datacentre
werqly Pro management
werqly Cloud
We operate the node and the models
— per month
—
- For organisations without a server room
- Dedicated node in a locked rack, never shared
- Updates, monitoring and support by werqly
Self-managed
Your own server room
Your IT department operates it; we supply software and updates
— per month
—
- Data never leaves your premises
- No outside party in processing or management
- Full control with your IT department
Self-managed
werqly Cloud
Your IT department operates it; we supply software and updates
— per month
—
- For organisations without a server room
- Dedicated node in a locked rack, never shared
- Your IT department runs policies and automations
Indicative amounts, excluding VAT. Custom automations are quoted separately. Only the quote is binding.