Where the data is the operation.

Plant databases and machine data streamed into live quality KPIs; failover clusters at plants worldwide.

Manufacturing produces more data per shift than most organisations produce in a month, spread across MES databases, test benches, welders, presses, assembly boards and plant systems. Cloudtech captures it without touching the systems that run the line, computes the figures the floor works with, and delivers them while the shift is still running. The same plants depend on Oracle databases in failover clusters, which Cloudtech operates 24/7.

Formal change management, rehearsed recovery, reporting that never queries the core.

In finance, auditability, change control and recovery objectives are contractual, and since January 2025 DORA has made many of them regulatory. A financial entity's ICT contracts must state where services are provided and data is processed, and must carry audit, data-return and exit terms. Cloudtech operates databases under formal change management and builds reporting pipelines that read change logs instead of querying core systems. Its contracts support the terms DORA requires.

Health data platforms where access is controlled and every use is accountable.

Hospitals, clinics and laboratories each run their own systems, and the data in them is health data. Under GDPR it is a special category. NIS2 covers healthcare providers, and the European Health Data Space regulation adds rules for how health data is shared and reused. Cloudtech builds and operates healthcare data platforms that integrate these systems, control who sees what, anonymise data before it is shared or reused, and record every use. Reporting and AI run on local hardware, so patient data stays under the provider's control.

Genes and proteins designed, read and tested with AI models on the institution's own GPUs; the models grounded in the lab's graph, databases and documents.

Biology is now written and read with models. Genomic language models such as Evo 2 generate and score DNA sequences at gene and genome scale. Diffusion and protein language models design proteins, binders and antibodies, and structure models such as AlphaFold and Boltz predict how they fold and bind. Neural basecallers and variant callers turn sequencer output into calls, and single-cell foundation models predict how cells respond to a perturbation. Cloudtech builds and runs the platform that makes this an operation rather than an experiment: GPU clusters, model serving and fine-tuning on the institution's own data, the sequencing and assay data pipelines that feed them, and the lab systems they write back to. Around the models sits the knowledge layer, a graph of genes, proteins, compounds, targets and assays, the LIMS, ELN and assay databases, and the papers, patents and protocols, so a language model answers from all of them at once and shows its evidence. Nothing leaves the institution: sequences, structures, assay results and intellectual property stay on hardware it owns.