Boutique AI & data engineering consultancy
Production-first AI delivery, end-to-end from readiness to operation.
Templefield Technologies takes AI from prototype to reliable production. Combining deep expertise in data, AI and cloud engineering, we turn promising experiments into dependable, production-grade systems that deliver measurable business advantage. We work B2B with SMEs, subsidiaries of larger corporations and funded start-ups — as a horizontal AI partner with demonstrated depth across regulated industries.
AI-first internally
The company itself runs on AI agents and automation across delivery, operations and research. This lived practice — not just what we sell — is a client-facing proof point and directly informs our engagements.
Production-first, not slideware
The focus is on real, deployed systems and MLOps — not strategy decks or throwaway demos. A clear distinction from prototypes without a production perspective.
End-to-end, without hand-offs
A continuous delivery approach from readiness assessment through ideation, PoC/MVP and production — preserving context and eliminating vendor-handoff risk across the AI lifecycle.
Excellence · Integrity · Innovation
Excellence
Robust architectures and high-quality code — end-to-end from solid data foundations to scalable AI systems. Priority on reliability, performance and measurable business impact.
Integrity
Consistent transparency across every project. Data security, data protection and responsible AI are fixed components of every solution — secure, compliant and reliable, particularly in regulated environments.
Innovation
Innovation with a clear focus on genuine added value — proven technologies combined with modern AI and cloud capabilities, supporting the transition from experiments to future-proof systems.
Sole founder and managing director, operationally active as a Principal AI Engineer with a primary focus on GenAI, LLMs and NLP. Track record built at SVA GmbH and as an independent consultant, now forming the company's reference base.
Education
M.Sc. Artificial Intelligence, Utrecht University — cum laude
B.Sc. Psychology in IT, TU Darmstadt
Certifications
AWS ML Engineer – Associate
AWS Cloud Practitioner
Certified Kubernetes App Developer (CKAD)
Databricks Spark 3.0
Snowflake SnowPro Core
Core competencies
GDPR, EU AI Act and responsible AI, embedded from the first sprint
Data security, data protection and responsible-AI design are non-negotiable engineering standards across every engagement — stated plainly, built in, not retrofitted.