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, with GDPR and responsible AI embedded by design.
Delivered outcomes
Healthcare · Finance · Public administration · Publishing · Telecommunications
Delivered systems, measurable outcomes
A reference base spanning healthcare and finance — from measurable business outcomes to production-grade AI systems.
ML-driven approval prediction for dental prosthesis claims
A compliant, real-time approval-prediction platform is being built for multiple AOK health insurers to automate straightforward decisions, route complex cases to human reviewers, and improve consistency.
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.
Machine learning-driven customer segmentation
ML-driven customer-value segmentation consolidated internal data with more than 10 external sources, revealing market potential and profitable opportunities for targeted growth.
Four stages, one continuous pipeline
Each engagement produces validated outputs that feed the next, delivered end-to-end by one partner. 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.
End to end delivery, cloud agnostic
AI-first internally
The firm itself runs on AI agents and automation — delivery, research, operations. Lived practice, not just advice.
Production-first
Real deployed systems with MLOps and monitoring — reliability over throwaway prototypes, not slideware.
E2E partner
End-to-end across the AI lifecycle from one partner — no junior hand-off, no vendor-handoff risk.
Cloud-agnostic
AWS, Azure, GCP or on-premises — chosen on merit, with GDPR and responsible AI embedded.
Start with a conversation
Tell us where you are in your AI journey. We respond within two business days.