Your AI. Your environment.
A managed private AI workspace and API for teams that need the speed of modern AI without giving up control over data, access or deployment.
Private AI
Production-ready without becoming an infrastructure project.
A controlled AI layer that can support real internal work, connect to existing systems and expand as useful workflows are proven.
Live in days
Start with a usable workspace and API without a long internal platform build or additional DevOps burden.
Private by design
Dedicated EU-hosted infrastructure, controlled access, guardrails and personal-data anonymisation built into the environment.
Built to extend
Use the same environment for company knowledge, APIs, automations and custom operational workflows.
One controlled layer between your teams, data and AI.
Instead of deploying isolated AI tools across the business, the environment provides one place to control access, models, data handling and the applications built on top.
ChatGPT-style experience
A familiar interface for internal users inside a controlled company environment.
API access
Use the same private environment from internal software, custom applications and automations.
Guardrails & data handling
Apply policies, anonymisation and controlled model access before information reaches model endpoints.
From workspace to workflows
Extend into agents or workflow automation only where the business case justifies it.
Managed by us, or deployed into your infrastructure.
Choose the operating model that fits your security and ownership requirements.
Dedicated EU infrastructure
We operate the environment so your team can focus on adoption and useful workflows instead of platform maintenance.
- Dedicated infrastructure
- Autoscaling included
- Managed platform operation
- Fastest route to launch
Deploy into your stack
For companies with established infrastructure requirements, the architecture can be deployed inside the environment you already control.
- Infrastructure remains under your control
- Fits existing cloud policies
- Integration with internal services
- Architecture adapted to requirements
A clear starting point.
Start with the private AI foundation. Additional integrations, agents and custom workflows are scoped separately when they solve a defined business problem.
A managed private environment for teams that want controlled AI access without building and operating the platform themselves.
What teams usually want to know first.
Is this another standalone chatbot?
No. The workspace is one interface on top of the environment. The same controlled layer can also support APIs, integrations, automations and custom applications.
Do we need to replace our existing systems?
No. The environment is designed to sit around the systems you already use. Existing operational platforms remain authoritative where they should.
Can it run inside our own infrastructure?
Yes. The architecture can be deployed into your environment instead of using the managed option.
What happens after the initial setup?
You can keep it as a secure AI workspace or extend it into specific workflows, integrations and applications where there is a clear operational case.
Give your teams AI without giving up control.
Start with the environment, your security requirements and the first workflows it needs to support.