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The evaluation pipeline was designed in a way I hadn't seen before: instead of a composite score with a brief summary, every AI decision comes with criterion-level reasoning in structured JSON. That architecture is what makes the bias audit actually work — you can compare reasoning across a candidate cohort, not just compare numbers. EU AI Act compliance was handled correctly from the start, not r...+

Working with this team on AI and automation was incredibly smooth. They helped me create a custom app with AI automations that significantly decreased my workload. Very efficient — doesn't need much direction to get the job done. They do a lot of research to ensure correctness and always present an array of options. Would highly recommend!

From the very beginning, the experience was professional, detail-oriented, and exceptionally committed. They not only met every expectation but exceeded them — adding improvements and features that truly made a difference. Communication was clear and consistent. I would absolutely reach out again for future projects.

They were great to work with from start to finish. The team helped me build out a client dashboard for my personal training business — linking client data to an AI bot for personalised program design. It was a big project with a lot of industry-specific detail, and they were very open to learning our needs and delivering exactly what I had envisioned.

What stood out most was the combination of technical depth, strong analytical thinking, and consistently high execution quality. The work reflected solid full-stack engineering, sound AWS architecture, and a disciplined approach to scalability, reliability, and maintainability. Complex requirements were handled with professionalism, flexibility, and clear ownership throughout.

One decision mid-project completely changed our trajectory. Migrating us to Storyblok was not what we originally planned, but it was absolutely the right call. The CMS went from our biggest bottleneck to our biggest productivity gain. Our marketing team can now launch campaigns across 37 storefronts without raising a single development ticket. That shift happened in 14 days.

The level of precision around pharmaceutical compliance was higher than we expected from an external team. The MLR workflow engine they built enforces three-stage approval at the platform level — not by process convention, but by technical constraint. That distinction matters in regulated markets. Our regional teams now publish across 100+ markets without developer involvement, and every content a...+

They identified the root cause of our retrieval problem within a week — our chunking strategy was treating a 2-million-document corpus as homogeneous text. Switching to content-type-aware chunking moved retrieval precision from 61% to 84%. The RAG chatbot now resolves member queries at a rate that has meaningfully reduced load on our member services team. The TTS integration worked on day one.