From prototype to production. Reliably.
Turning promising experiments into dependable, production-grade systems.
Templefield guides B2B organizations through the complete AI adoption journey — from strategic assessment to production-grade systems, deployed on the cloud platform that fits them, with GDPR and responsible AI embedded by design.
Four stages, one continuous pipeline
Each engagement produces validated outputs that feed the next. Enter at any stage — every product accepts prior-stage outputs or your own artifacts.
AI Readiness Assessment
An evidence-based evaluation of data, infrastructure and technical readiness — with a clear recommendation on whether to invest and what must happen next.
Ideation & Use Case Workshop
A facilitated engagement that generates, scores and prioritizes use cases by business impact × technical feasibility.
Proof of Concept & MVP
A working, tested AI solution evaluated against defined KPIs — a functional system, not a demo — with a scaling roadmap.
Productionization & MLOps
Validated prototypes re-engineered into robust, scalable, compliant production systems: ML pipelines, model serving, CI/CD and operational monitoring.
Delivered systems, measurable outcomes
A reference base spanning healthcare, finance, public administration, publishing and telecommunications — production systems, not prototypes.
ML-driven approval prediction for dental prosthesis claims
A real-time Kubernetes ML platform delivered to multiple AOK health insurers automates straightforward approvals and flags complex cases for human review, with data protection and regulatory compliance embedded by design.
NLP-enhanced stock performance forecasting
Analysis of over 90,000 earnings-call transcripts generated communication-derived features that, combined with financial fundamentals, produced a differentiated, data-driven trading strategy.
End-to-end record linkage pipeline
A distributed XGBoost-on-Spark system linked internal records with heterogeneous external sources at petabyte scale, streamlining manual review for the prosecution of fraudulent entities.
Pragmatic, structured, end-to-end
Assess
Understand the landscape, data assets and readiness before any commitment.
Prioritize
Score use cases on business impact and technical feasibility.
Prove
Build a working, KPI-evaluated solution — not a demo.
Operate
Engineer the pipelines, serving and monitoring for production.
What the brand stands for
Excellence
Robust architectures and production-ready code — from solid data foundations to scalable AI systems. Reliability and measurable impact over throwaway prototypes.
Integrity
Transparency in every engagement. Data security, GDPR and responsible AI are built in by design — secure and compliant, especially in regulated environments.
Innovation
Proven technology combined with modern AI and cloud capabilities — helping clients move from experiments to sustainable, future-proof systems.
Start with a conversation
Tell us where you are in your AI journey. We respond within two business days.