Results from real engagements.

These are anonymised accounts of actual Fetch engagements. The numbers are real. The situations are real. Names and identifying details have been changed.

When the workflow needed software built

Nine builds across defence, media, retail, ed-tech, industrial and regulated finance, 2024–2026. Sector and year only; references on request.

All engineering capabilities
Defence · 2026

National fitness & health data platform

Wearable ingestion → aggregation → participant and admin apps, SingPass OIDC login, dual CI with SAST and secret detection on every push. Fully containerised, no secrets in source.

Retail / F&B · 2026

Integrated operations platform for a fresh-produce retailer

Spreadsheets and chat replaced by one system from inventory to the rider's phone, delivered fixed-scope in a 16-week programme. Handed over August 2026 with a full handover pack; phase 2 scoped.

HR-tech · 2025–2026

AI recruiting platform with live interview copilot

Chrome extension streams interview audio for diarised transcription; a scoring service applies per-role rules and LLM evaluation. Handed over to the client's own cloud in June 2026 and in production.

Media · 2025–2026

Telegram AI bot & CMS for a national broadcaster

Reply, moderation and engagement on separate Azure OpenAI deployments, Redis job queues, editorial control from a CMS. Built to a container registry on every push.

Ed-tech · 2024–2026

AI mathematics tutor & assessment digitisation

Tutoring platform plus a separate multi-provider LLM gateway and OCR pipeline: the operator can switch or add models centrally without touching the student-facing app.

Industrial / logistics · 2026

Cloud weighbridge for remote sites

Raspberry Pi edge service reads the scale over serial, buffers offline and retries on reconnect; realtime cloud backbone; capture / review / admin web; OpenAPI interface for the ERP.

The same three things show up in every engagement.

01

The problem was never the AI tool

In every case, the client already had access to AI tools. ChatGPT was free. Copilot was built into their Office subscription. The problem was that nobody had redesigned the workflows those tools were supposed to improve. We always start with workflow mapping, not tool deployment.

02

The first failure point is always adoption

Every client who had previously attempted an AI implementation had failed at adoption. The tool was deployed, the team was given a login, and within weeks they'd reverted to their manual processes. We treat adoption as the primary deliverable, not an afterthought.

03

The ROI is measurable within 60 days

In every engagement, we establish a baseline measurement before we start and track time savings weekly post-deployment. The ROI is never theoretical — it's measured in hours recovered and costs eliminated.

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