Services
AI shipped, not demoed.
Production-grade RAG, agents, evals and fine-tunes — wired into your product and your data. With guardrails your legal team can read.
Production
What we deliver
- RAG over private data with access controls
- Agent workflows with human-in-the-loop
- Eval suites and regression testing for prompts
- Latency and cost optimisation at scale
- Policy, logging and red-team ready guardrails
Typical stack
Claude
OpenAI
LangChain
Pinecone
Python
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Recommended articles
Blog
Shipping evals before prompts
Why we run regression suites on LLM outputs before every release — and how it changed our AI delivery cadence at ZNN.
Blog
The case for boring web stacks
TypeScript, Postgres and edge deployment are not exciting — they are how you still iterate fast in year three without rewriting the platform.
Blog
Mobile release trains that do not break
Fastlane, staged rollouts and feature flags — a practical playbook from eighteen App Store submissions without a Friday-night rollback.
Recommended case studies
iGaming · Platform
Casino operator · NDA
Under NDA we stabilised three production gambling brands: cleaned up legacy PHP/JS stacks, extracted shared modules, and shipped a new marketing site without stopping live traffic.
Fashion · Data
Global fashion manufacturer
A major apparel producer had no single source of truth: Amazon, Zalando, own D2C and wholesale channels each spoke different schemas. We built a governed data layer so finance and ops finally know what came from where.
Luxury · ETL
Luxclusif
LUX ingests inventory directly from Luxclusif, maps it to each partner's taxonomy, and ships Matrixify-ready CSV exports on schedule — no manual spreadsheets between supplier and Shopify stores.