Engineering behind the AI.

When a redesigned workflow needs real software, Fetch builds it — from AI agents and data platforms to operational systems and custom products.

Engineering delivered for a national defence organisation, a national broadcaster, regulated financial issuers.

2017
Fetch Technology Pte. Ltd. incorporated in Singapore
17
product families delivered
110+
repositories in active maintenance
15
client engagements in 2026 — delivered, in progress, in pipeline

Headquartered in Singapore with engineering hubs in Hanoi and Ho Chi Minh City. Our engineering clients have included a national defence organisation, a national media broadcaster, regulated digital-asset issuers, an ed-tech operator and family-run businesses modernising their operations.

  • We ship the hard, new stuff.

    Agentic AI, real-time voice AI, institutional ledgers, wearable-data platforms, edge-to-cloud IoT — most of it in production today, not in a lab.

  • You see the product before you commit.

    Every build starts with a clickable mockup of your product and a PRD, iterated with you until sign-off. The proposal is written against what you approved.

  • AI-native delivery, senior humans accountable.

    AI agents draft, test, review and document inside a process our senior engineers design and gate. It changes the speed you experience; it does not change who is responsible.

  • We hand over, properly.

    Documentation, runbooks and test cases are produced alongside the code. When a fixed-scope engagement ends you receive a repository your team can operate.

Four practice areas

Open a practice to see what it has shipped to production — described by capability, not by client name.

Applied AI & agentic systems

AI that does a job, not a chatbot demo.

LLM-powered products end-to-end: model orchestration, retrieval, evaluation, guardrails and the plain product engineering around them. This is the engineering that turns a Sprint's redesigned workflow into software your team uses every day.

Why it matters now

Enterprises have moved from “try an LLM” to “run a workflow on one”. The differentiator is no longer the model — it is orchestration, evaluation, cost control and provider independence.

Multi-agent orchestration LangGraph agent pipelines for content generation (brand DNA + campaign brief → a week of copy, image and video drafts) and creator tooling with a node-based canvas editor
Model-agnostic LLM gateway A Go gateway abstracting OpenAI, Anthropic, Gemini and ~9 further providers behind one typed API — structured output, model listing, per-tenant keys — so a client is never locked to one model vendor
Real-time voice AI Live, speaker-diarised transcription of video interviews from a Chrome extension, with the backend acting as a short-lived token broker so secrets never ship to the browser
Document AI Scanned exam papers → OCR → LLM / vision extraction → marking schemes → human reviewer UI, versioned assessment pipeline
AI scoring & ranking Candidate-scoring service with per-role rule configs, replacing a classic-ML stack
Conversational bots at scale Telegram bot for a national broadcaster on Azure OpenAI with separate deployments for reply, moderation and engagement, queued on Redis, CMS-managed
Meeting intelligence AI assistant that joins and records calls and produces briefs — the tool our own team runs on
On-device ML In-browser face analysis with MediaPipe, paired with LLM interpretation server-side

Enterprise platforms, operations & commerce

The systems a business runs on — built to be operated, not just launched.

When the workflow redesign needs more than a configured tool, we build the platform: catalogue to dispatch, back office to payments, CMS to storefront.

Why it matters now

Most operational pain sits in the gaps between systems. We build the connective tissue — and the admin tools that let your team run it without us.

Operations platform End-to-end ops platform for a fresh-produce retailer: catalogue and inventory → orders → dispatch → rider delivery. Admin web, customer storefront, rider app, NestJS backend; payment-provider cutover absorbed mid-programme
Back-office & payments Back-office with Stripe payments, S3 documents and JWE-secured APIs; admin SPA
CMS & marketing sites Headless CMS admin for a chat-bot product; corporate websites with small auth APIs
Ed-tech SaaS AI mathematics tutoring platform with subscriptions, question bank, exam papers, transactional email and analytics; Kubernetes with GitOps
Content platforms AI campaign-content engine and a two-sided brand-contest platform for AI video creators

Health, wearables & connected devices

Data platforms that ingest from the physical world and turn it into decisions.

Wearables, sensors and scales — with the identity, consent, ingestion and aggregation done properly.

Why it matters now

Wearables have crossed from gadgets into institutional programmes — defence, insurers, employers — and edge-plus-cloud patterns let small operators get plant-floor data into the cloud without a SCADA budget.

Wearable data platform Fitness and health data platform for a national defence organisation: ingestion from consumer wearables → aggregation → API and two web applications (participant and admin), national digital-identity (SingPass OIDC) login
Corporate wellness Wearable fitness-tracking platform with roles, leaderboards and device integrations, now under a security-and-scale upgrade
Industrial IoT / edge Cloud weighbridge: industrial scale → Raspberry Pi edge service (serial capture, offline queue, retry on reconnect) → realtime cloud backbone → capture / review / admin web and an OpenAPI ERP interface

Regulated fintech & institutional ledgers

Digital-asset infrastructure for regulated and institutional use.

For financial institutions and licensed issuers: privacy-preserving ledgers, stablecoin issuance and on-ledger settlement, delivered to production.

Why it matters now

Stablecoin legislation in the US, MiCA in the EU and MAS's framework in Singapore have moved tokenised money from pilots into regulated production. We are one of the few Asia-Pacific teams with production DAML delivery.

Canton Network / DAML DAML smart contracts on the Splice / Amulet token standard; validator and participant operation; CIP-56 fungible-token implementation with delivery-versus-payment and a compliance blacklist extension
Institutional exchange Partner / liquidity-provider swap exchange on Canton: on-ledger atomic-swap escrow (84 scenario tests), partner API, indexing and fee crons, wallet provider, TypeScript trading SDK — live on mainnet
Stablecoin issuance Three generations for one licensed issuer, from an EVM pilot to a Canton-based issuance and tokenisation console driving the full mint / burn / transfer lifecycle
Custody & treasury Hot-wallet token-manager and withdrawal-manager microservices, cross-chain settlement, multi-tenant deployments

Selected work

Client names are withheld under NDA; each engagement is described by sector and year. References can be arranged on request.

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.

Stack · NestJS · Next.js · Deepgram · FastAPI · DigitalOcean
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.

Stack · NestJS · Prisma · Next.js · React Native · Vercel
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.

Stack · NestJS ×3 · React ×2 · Prisma / Postgres · SingPass · Turborepo

Technology stack — what runs in production today

Ten layers, primary choices and what else is live. Not a wish-list.

LayerPrimary
BackendTypeScript — NestJS, Prisma, Node 22
WebNext.js, React, Vite SPAs
MobileReact Native
AI / MLLangGraph, Anthropic, OpenAI, Azure OpenAI, Gemini; multi-provider gateway
LedgersDAML / Canton (Splice, CIP-56)
DataPostgreSQL, Redis, BullMQ
Identity & paymentsAuth0, SingPass OIDC, JWT / JWE
Cloud & deliveryAWS EKS + ArgoCD (GitOps), Terraform
CI & qualityGitHub Actions, Docker, Helm
MessagingTelegram, WhatsApp, web push
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