Systems we have shipped, with the architecture named and the numbers stated.
Each case study below states the outcome in the first two sentences. It then sets out the problems the build had to solve, names the models, vector store, orchestration and infrastructure, and ends with a results table.
Debugging dropped from 4-5 hours per iteration to under 15 minutes, with 87% of failures repaired on the first loop and no human in the repair cycle. Deployment frequency rose 42%.
Read how we built Self-Healing AI Software Engineering Agent →
Query latency fell 68% and embedding and inference costs fell 35%, while relevance accuracy held above 93% across structured and unstructured data. Every tenant stayed fully isolated under GDPR and ISO-27001 requirements.
Most agency case studies open with three paragraphs of client background and never quote a number. Ours open with the result, name the stack, and publish the measurements. If you want the service behind a given build, every case study links to it, and every service page links back to the case studies that prove it.
Client permission governs how much we can name. Where a client has not agreed to be identified, we describe them by industry and scale rather than inventing a pseudonym or quietly implying more than we can back up.
Fixed scope, fixed price. You own the code, prompts and eval data from the first commit.
