2026AI engineering, proven in production
Seven products of our own are live right now — voice agents, retrieval, generation and tool use, running under real traffic for real customers.
Seven products of our own are live right now — voice agents, retrieval, generation and tool use, running under real traffic for real customers.
products in production
Designed, shipped and operated by us — including the on-call rota.
practices, one team
The AI work plus the engineering that keeps it alive after launch.
client builds
Auctions, luxury retail, logistics, healthcare and trade data.
faster data processing
At EximFetch — the client's figure, not ours.
{ what we ship }
Not case studies from a client engagement — software we designed, shipped and now operate, including the on-call rota and the inference bill.
{ infusing AI into a business }
01
We map the process first — where the hours go, where the errors start, and what "better" would actually measure. The model gets chosen last, and sometimes the answer is a query and a cron job.
02
Retrieval over your documents and live systems, answers with citations you can check, and an evaluation suite that runs in CI — so a regression is caught before a customer sees it.
03
Cost ceilings, provider fallbacks, latency budgets and observability. The unglamorous layer that decides whether an AI feature survives its first Monday morning.
{ what we do for clients }
The AI work, and the engineering around it that decides whether AI survives contact with production. Every one of these is a service we deliver end to end.
Fine-tuning
Model selection, LoRA/QLoRA fine-tuning, distillation, structured outputs and the evaluation harness that proves it works.
Read moreHybrid retrieval
Hybrid retrieval, re-ranking, real-time indexing and permission-aware answers with citations you can defend.
Read moreTool calling
Autonomous agents that plan, call real tools against real systems, and know when to hand control back to a person.
Read moreContent generation
Content, code and creative generation systems built around your data, your brand voice and your review process.
Read moreSpeech-to-speech
Speech-to-speech agents that answer the phone, look things up in your systems and hand off cleanly to a human.
Read moreDocument AI
Document intelligence, OCR at scale, detection and tracking, video understanding and generative visual pipelines.
Read moreInference
Inference infrastructure, semantic caching, provider fallbacks, evals in CI and the cost observability that keeps AI viable.
Read moreEnterprise
Knowledge-based and decision-making agents deployed inside enterprise workflows, security boundaries and approval chains.
Read moreRPA
AI, machine learning and workflow optimisation applied to the repetitive processes that quietly consume your operating budget.
Read moren8n
Intelligent workflows that remove repetitive tasks and integrate cleanly across the systems you already run.
Read moreAWS
Migration, modernisation and cloud-native engineering across AWS, Azure and GCP — with cost optimisation that holds.
Read moreNext.js
Web, mobile and enterprise applications engineered for performance, scale and integration into your existing stack.
Read morePlaywright
End-to-end QA, automated testing and AI-assisted security review so what you ship is reliable and defensible.
Read moreShopify
Personalised, data-driven commerce with AI recommendations, smart inventory and frictionless checkout.
Read moreEvery engagement moves through four gates: clarity, proof, hardening and operation. The motion slows down here for smaller screens, but the structure is the same.
We map the workflow, failure points, decision owners and success metric before a single model is chosen. The brief becomes measurable instead of mystical.
One real user journey goes end to end against your systems and data. It is narrow on purpose, so integration risk shows itself while the cost is still small.
We add evaluations, fallbacks, observability, cost ceilings and release gates. The demo turns into something that can take traffic without everyone holding their breath.
We operate it with you or hand it over cleanly: mainstream stacks, documented decisions, pairing time and the habits needed to keep it improving.
wherever you are starting from
{ selected work }
Four builds with numbers attached, shown as outcomes instead of thumbnails. Hover the deck, scrub the work, and the page answers with motion.
measured outcomes
Real implementation work, filtered to the stories with client-side numbers.
01 / Logistics control tower
End-to-End Digital Transformation
60%
less manual effort
02 / ERP automation layer
ERP Data Management & Automation
80%
less manual workload
03 / Digital health guidance
Healthcare / Digital Health Platform
80%
increase in adoption
04 / Trade-data API platform
Real-Time Trade Data API Platform
85%
faster data processing
next proof point
Make your build measurable from day one.
