Four ways to deploy AI inside your walls.
Every engagement leaves you with documentation, source code, and full control. No vendor lock-in. No ongoing dependency on us.
Four ways to deploy AI inside your walls.
Private LLM deployment
Enterprise language models running inside your infrastructure. No API calls. No data egress. Full GDPR compliance.
AI workflow automation
Agentic pipelines that eliminate repetitive manual work. Document processing, approval flows, knowledge bases — fully self-hosted.
AI security & compliance
Structured audit against GDPR, the EU AI Act, and your internal security policies. Threat modelling, risk classification, remediation roadmap.
Generative AI pipelines
Custom image, video, and content generation workflows running locally. Brand-consistent output at scale, zero marginal cost per generation.
Keep it running. Keep it current.
Model updates, monitoring, new workflow additions, regulatory changes, priority support. Available as a monthly engagement once your deployment is live.
Let's talkCommon questions
What happens if something breaks?
30-day warranty, full documentation, runbooks. Retainer clients get monitoring. Built on OSS — never locked to us.
Can you work with our existing infrastructure?
Yes. On-premise, OVH/Hetzner/Scaleway, VMware, Proxmox, bare metal. Standard Docker via Coolify.
How long does a typical deployment take?
Private LLM: 2–6 weeks. Security audit: 1–3 weeks. Single automation pipeline: 1 week. Full suite: 6–8 weeks.
What affects the final cost?
Final cost depends on your infrastructure complexity, data volume, custom integrations needed, and compliance requirements. We provide fixed quotes after the audit phase.
Is the first session really free?
Yes. The 90-minute AI readiness session is completely free with no obligation. We'll discuss your infrastructure, data, and what's possible. If we're not a good fit, we'll point you in the right direction.