Data Engineering as a Service
Data pipelines, integration and platforms delivered as an ongoing engineering service.
Your outcomeA supported data infrastructure with documented interfaces, business quality rules and a prioritised development scope.
We connect your systems and build custom AI that handles routine tasks and supports better decisions.
Discuss your projectWe connect data from ERP, CRM, files and other systems through automated interfaces. Information becomes available in one shared foundation, without having to collect and combine it manually for every analysis.
We standardise formats, reconcile records and check for missing or conflicting values. Defined quality rules make issues traceable and provide a dependable basis for reporting and AI.
We turn this foundation into applications for everyday work, such as detecting anomalies, processing documents or automating recurring tasks. Each solution is integrated into your existing workflows.
We develop your data infrastructure and build AI applications for specific business tasks, from architecture to ongoing support.
Data pipelines, integration and platforms delivered as an ongoing engineering service.
Your outcomeA supported data infrastructure with documented interfaces, business quality rules and a prioritised development scope.
Machine learning and AI applications built around your data, processes and business requirements.
Your outcomeA custom AI application with evaluated results, documented interfaces and an agreed plan for operational use.
Anomaly detection in consumption data · In production
Monthly heating, water and electricity consumption readings from buildings are prepared.
Observed consumption is compared with modelled expected values.
Prioritised anomalies support review in the operational context.
Business objectives, engineering and operations are connected throughout our projects. Decisions are documented, deliverables are defined and responsibilities are clear.
We translate business requirements into a technical architecture, a prioritised roadmap and verifiable acceptance criteria.
We implement pipelines and applications, integrate existing systems and validate results with representative data.
We support ongoing use with monitoring, documented procedures and an agreed scope of technical support.
Archivefy and Taqa Labs address document management and real-estate consumption data. Our product development complements the custom solutions we build for clients.
Getting started with AI
A practical checklist for the task, data quality, access rights and pilot evaluation.
Read articleProject planning
Six factors to help define a pilot before commissioning it.
Read articleOperations & quality
Data maintenance, permissions, tests and responsibilities make an application operable.
Read articleDiscuss your requirements for data platforms, custom AI or the operation of existing applications.