We build AI and Cloud systems for live, business-critical workloads. From internal AI applications to highly scalable ML and AI systems in the cloud, including app, DevOps and AI/ML engineering.
Cleanly integrated. Resilient under load. With evals, cost attribution and audit trails that hold up to security, data protection, internal audit and operations.
One released case. Further projects under NDA.
Model routing, evals, monitoring, cost attribution and governance.
Four entry points. The right one depends on where the initiative stands. Many projects combine several.
Pilot, concept or manual workflow becomes a running system. Internal AI applications in production within 4–6 weeks; larger ML/AI systems cloud-native and built to scale.
Output Agent, RAG workflow or AI app with integrations, evals, observability, audit trails, cost attribution and runbook.
When quality drifts, cost grows or evidence is missing. Review of architecture, model usage, tool calls, observability and cost attribution.
Output Cost analysis, eval findings, architecture risks and a prioritised optimisation roadmap.
When many ideas exist but the business case, data access or sign-off path is unclear. Where needed, we re-cut the process instead of bolting AI onto detours.
Output Prioritised use cases, process and data-flow map, risk check, decision brief.
When IAM, data access, interfaces or deployment structures block the rollout.
Output Cloud/data architecture, IaC (Terraform), integration paths, IAM/security baseline, monitoring and operational documentation.
For insurers, utilities, recruiting-adjacent screening processes and document-heavy workflows where sign-off, traceability and operations are not optional.
Earlier engagements were delivered under Cloudsail Digital Solutions; that brand has been retired.
Further references from DAX and Fortune 500 programmes under NDA, on request.
“Bringing in AI took 360 to a new level. Users stay in control and see what matters early. Miki and the team listened deeply and delivered with real expertise. Stellar work.”
“They thought along openly and understood the problems we were trying to solve very quickly.”
We combine AI engineering, cloud architecture and production operations for environments where data, decisions or processes are sensitive.
Founded by Mickey (Mikolaj) Graf. 13+ years of AI, cloud and distributed systems, across startups, mid-market, DAX corporations and Fortune 500 programmes.
IT, security and audit are in the room from the first workshop. Every architecture decision has a sign-off path.
Built for audit.
Designed for scale.
30 minutes. One process, one pilot or a use-case list. Afterwards the next step is clear: technically, commercially and ready for internal sign-off.
