Our Experts and You
Our experts and you.
We know that your problems are complex. At empirical, we orchestrate our applied research and systems engineering expertise to provide you with deterministic solutions designed precisely to your operational context and needs.
Software Engineering & System Architecture
Design and implementation of production software systems with attention to maintainability, reliability, and operational clarity.
- Service-oriented and event-driven application architectures.
- Transactional consistency, state coordination, and failure-aware backend design.
- API design, inter-service communication, and integration boundaries.
- Testing, delivery workflows, and deployment practices for production systems.
Cloud Platform & Distributed Data Systems
Architecture and operation of cloud platforms and data systems that support scalable workloads, data movement, and platform reliability.
- Relational, document, and search-oriented data storage design and optimisation.
- Event streaming, message-driven integration, and asynchronous processing pipelines.
- ETL and ELT workflows for ingestion, transformation, and schema normalisation.
- Platform design for observability, delivery automation, and operational resilience.
Data, Artificial Intelligence & Agentic Systems
Applied machine learning and AI engineering for systems that require structured data flows, measurable behaviour, and controlled operational use.
- Data preparation, feature pipelines, and model training workflows.
- Model adaptation, local inference optimisation, and domain-specific evaluation.
- Retrieval-augmented systems with structured indexing and grounded generation.
- Agent workflows with bounded state, tool orchestration, and monitoring.
Sovereign Systems & European Compliance
System design and engineering controls for organisations that require data sovereignty, auditability, and alignment with European regulatory frameworks.
- On-premises, hybrid, and private-cloud deployment models, including restricted environments.
- Engineering support for AI Act requirements such as traceability, logging, and risk controls.
- Privacy-by-design architecture and data handling aligned with GDPR obligations.
- Open-source and portable system foundations that reduce vendor dependence.
