Building AI features in-house takes months. Your backlog grows while competitors ship AI-powered products faster.
GPU provisioning, model serving, monitoring — maintaining AI infrastructure eats engineering time that should go to product.
GDPR, AI Act, data residency — navigating the compliance landscape for AI systems requires deep expertise you may not have in-house.
A shared register for enquiries and service requests
For Hazzel, we merged customer data from spreadsheets and contact history, and built a single register of rental enquiries and a service request register linked to machine records. Draft documents are generated from the company's templates.

Replies from an approved knowledge base, unusual cases go to an employee
For GoCook, AI organises enquiries in a shared register with the correspondence history, drafts replies from an approved knowledge base and gathers accepted arrangements in an event sheet.
Selected clients

We review your architecture and identify the fastest path to AI integration. No boilerplate — just your stack.
Week 1We design the integration, build the AI components, and deploy to your infrastructure. Full CI/CD compatibility.
Weeks 2-4Production deployment with monitoring, alerting, and performance dashboards. We handle maintenance.
OngoingBook a free 30-minute technical audit. We'll map out the fastest integration path for your stack.
No commitment. We speak your language — APIs, not slide decks.
