Singapore · Hands-on AI training for education businesses
Qlabs runs short, hands-on AI courses for preschools, childcare chains, tuition and enrichment centres. We don't just teach it: we set the tools up with your own observation, parent-update and worksheet templates, so they are already working when the course ends. Delivered with an SSG-approved training partner, so eligible employers can use the SkillsFuture Enterprise Credit.
Built by an operator who has run a Singapore education centre since 2009.
AI training · SkillsFuture Enterprise Credit
A short course for your teachers or tutors, run at your centre, that ends with AI tools already set up on your own templates. It is delivered with an SSG-approved training partner, so eligible employers can offset the fees with the SkillsFuture Enterprise Credit (SFEC). From 1 December 2026, eligible employers receive a fresh S$10,000 under the Enhanced SFEC. What changes on 1 December →
Teachers learn to draft developmental observations and parent updates with AI, from their own notes, in your centre's format. We set it up with your observation and parent-update templates, and for chains, the same setup across every centre. AI training for preschools →
Tutors learn to draft practice questions at the right level, first-pass marking comments and progress reports for parents. We set it up with your own worksheets, mark schemes and report formats. AI training for tuition centres →
Delivered with an SSG-approved training partner, so eligible employers can use the SFEC. Every setup is PDPA-first: a lawful basis for each data source, the minimum data needed, and the option to keep processing on local hardware.
Which roles, which paperwork, how many staff, and whether your centre is likely to be eligible for the SFEC.
Practical, on your real tasks, not slides about AI. Your staff work through their own observations, worksheets or reports.
We configure the tools with your own templates and formats, so they work for your team the day after the course.
Your team keeps the templates, the prompts and a short guide, and runs it without us.
The course is delivered with an SSG-approved training partner, so eligible employers can offset the fees with their SkillsFuture Enterprise Credit (SFEC), subject to SWDA's rules for the credit. From 1 December 2026 the Enhanced SFEC gives eligible employers a fresh S$10,000 that offsets out-of-pocket costs at enrolment. The funding rate for the Enhanced SFEC has not been published yet.
Per SWDA's programme page, employers qualify if, from 1 January to 31 December 2025, they employed at least three Singapore Citizens or PRs every month, were not in default on Skills Development Levy and did not have an inactive ACRA status. There is no application: eligible employers are notified by email and complete a short workforce questionnaire.
We don't stop at teaching. We set the AI tools up with your own templates, such as observation records, parent updates, worksheets and report formats, so they are already working for your team when the course ends.
Matthew Lee, founder of Qlabs. He is a WSQ-certified adult educator (ACLP), has run an education centre in Singapore since 2009, and is a Claude Certified Architect (Professional), verified on Credly.
We design every setup PDPA-first: we record a lawful basis for each data source, use only what is needed, and can process data locally on our own hardware so it never goes to a third party.
Yes. Qlabs also works as an AI consultancy for Singapore SMEs: we pick one process, measure it, build a working AI system on your real data and hand it over to your team.
AI consultancy for SMEs
Most AI consulting ends where the real work begins — a maturity assessment, a vendor shortlist, a six-month strategy deck and a phase-two invoice. We do it in the opposite order: set the strategy, build the working system, and prove the return. Four principles keep us out of the 95% of AI projects that never change a number that matters.
We set the strategy and then execute it. The deliverable runs in your operation, not in a document — no maturity assessment, no vendor shortlist, no phase-two you have to staff and fund separately. Strategy and working software in the same engagement.
We baseline the process before we build — cycle time, cost per case, error rate — then prove the delta in your own numbers. Not "it feels faster." A before and after you can put side by side, and a return you can defend to your board.
WhatsApp threads, call transcripts, emails, records — we record a lawful basis for every source before we touch it, minimise what we use, and can process it locally on our own hardware so personal data never leaves for a third party. Compliance built in, not bolted on.
We design your team's self-sufficiency from the first week — your people learn the system, own the documentation, and run it without us. A good consultancy makes itself unnecessary; a good engagement ends with you needing us less, not more.
From AI-absent to AI-native
A full engagement moves through seven stages — from setting strategy to shipping and owning the system. The early ones are fast and inexpensive on purpose: they exist so we both find out quickly whether this is worth doing, before anyone commits to a build.
A short conversation: is there a sponsor with P&L authority, a real painful process, and a budget? If not, we say so.
We map how your business makes money and where time and money leak, then list a handful of candidate processes worth fixing.
Together we score the candidates and pick a single process to focus on — one decision, one owner, one number to move.
We measure the current state and inventory the data it needs, with a lawful basis recorded for every source. No baseline, no delta.
We build the working system inside your operation, on your real, messy data — in weeks, not quarters.
We run it live, compare against the baseline, and show the delta — then close the loop so the decision sharpens each cycle instead of going stale.
Your team takes the controls. We leave documentation and reusable parts behind — and one reusable artifact enters our own library.
Ways to engage
Four ways to work with us, built to be taken in sequence — the output of one is the entry point of the next. But the ladder is front-loaded: commit to a small, fast first step, and only scale once the value is visible. WDG-anchored where you're eligible.
A decision census and a wedge scorecard. One decision, one owner, one number named, with a signed baseline plan. The diagnosis, not the build.
A working prototype on your real, messy data, run by the real owner — with the current-state baseline measured and signed first.
The prototype becomes a loop that sharpens each cycle. Adoption driven with your staff, delta measured against baseline, handover pack so you run it without us.
Light custody of the live loop — tuning, drift-watch, next-cycle improvement, next-wedge scouting. Capped by design. Not managed services, not a way to become indispensable.
Not sure where to start? The first step is a 30-minute fit check. If there's no fit, we'll tell you plainly — we only take on work we believe will pay for itself.
Built by builders
This isn't theory. These are Qlabs-owned platforms running live in Singapore, each with agentic AI at the core — proof that we practise what we advise, in production, not in a deck. The method that proves itself here is the method we bring to your engagement.
AI-powered two-sided marketplace for private tutoring.
Two-sided marketplace matching parents with verified tutors. Claude ranks candidates in real time, an autonomous Telegram agent fields subject questions inside a 400+ member community, and an orchestrated email-relay workflow takes a shortlist all the way to a paid lesson — without a human coordinator in the loop.
Web SPA · Telegram bot · email-relay · Stripe payments
AI content engine for international curriculum specialists.
Internal platform for curriculum specialists producing study materials for major international syllabuses. AI-powered worksheet generation produces structured, syllabus-aligned resources on demand. A catalogue of 18,000+ study resources — tagged, searchable, and organised by subject area — backs a growing international curriculum business.
Internal web platform · AI generation pipeline · React + FastAPI
Agentic operations platform for a Singapore education business.
One platform replacing an incumbent scheduling system and 15 spreadsheets across enrolments, scheduling, finance, and communications for a Singapore tutoring centre. Non-technical staff drive operations through a permissioned chat agent that books trials, records attendance, and processes invoices under explicit human confirmation.
Internal web app · scheduled Celery workflows · staff chat agent
In the press
Recess Remix is a viral Singapore TikTok project co-created by our founder, Matthew Lee: generative AI reimagines decades-old school anthems as Mandopop, rock and K-pop tracks. Launched in March 2026, it has published 90+ remixes and counting — each built by feeding a school's culture, history and sporting life into a custom Qlabs AI prompt engine, then refined for hours on AI music platforms. No monetisation, no claims on the originals: the point is to keep school anthems alive for Gen Z and Gen Alpha.
The Straits Times profiles Recess Remix and its three creators — Matthew Lee, Yap Wei Zi and Sobbina Yap — and the AI engine behind 90+ school-anthem remixes, from Dunman High's Mandopop version (192,000+ views) to Raffles Institution reimagined in rock.
Read the feature → CNA Deep Dive · 20 Aug 2026 · PodcastMatthew Lee, co-creator of Recess Remix, joins hosts Steven Chia and Tiffany Ang for a debate on AI in creative work with Playbox Studios founder Basil Yeo — who uses no AI in his agency's work at all.
Listen to the episode →
Founder & Principal AI Architect at Qlabs. Claude Certified Architect — Professional, WSQ-certified adult educator, and co-creator of Recess Remix.
Connect on LinkedIn →Free guides for education businesses
The current SFEC ends 30 Nov 2026; the Enhanced SFEC starts 1 Dec with a fresh S$10,000. Who qualifies, what it covers, and what is not yet published.
Six copy-ready prompts using the NEL framework's learning areas, with a PDPA-safe routine for coding children's names.
Each PDPA obligation applied to staff using AI tools, a 12-point checklist and three safer setups.
Consultancy insights
WDG(JR+) co-funds 50–80% of workforce redesign — but only where the evidence trail exists. Here is what the grant pays for, and what it refuses to.
Layering AI on unchanged jobs fails. The 4A Framework — Automate, Augment, Amplify, Anchor — redesigns the task mix first, with a worked role example.
Five production AI surfaces, four redesigned roles, one 12-week engagement at a Singapore digital media platform. The problem, the build, the outcome.
Get in touch
Based in Singapore. The first step is a 15-minute call, for training or consultancy.
hello@qlabshq.com →