Fluent in Bahasa, Mandarin, and English. Working while you sleep. Built for Malaysian SMEs.
Examples of what we build: a live WhatsApp conversation with a renovation client receiving an instant quote in Bahasa Malaysia, an interior design enquiry priced in Mandarin, and an AI agent autonomously summarising yesterday's calls, reading context, checking systems, and replying without human prompting.
We start with two half-day sessions: one with you, one with the team who runs the work. By the end of the second session, we know what your week actually looks like, and you know what an AI build for your business would have to do.
A week shadowing the team across whatever they do day-to-day: WhatsApp triage, quote prep, follow-up, reporting. We come out with a ranked list of where AI would help and what it would take to build.
Full AI audit · 1–2 weeksA diagram of the whole system and a working prototype of the riskiest piece. So if the integration with your CRM is the part most likely to fail, that's what we build first.
System diagram · 1 weekWeekly demos on Friday. We're plugged into your CRM and your WhatsApp from week one. What you see on Friday is what a customer hits on Monday.
Plugged into your tools · 3–5 weeksAt handover you get the code, the runbooks, and a half-day training session. After that the system runs without us. If you want us to keep tweaking it, that's a separate retainer.
Full ownership · ongoingEach of these is a custom build for your business, running inside your tools and owned by your team. Pick what looks like your problem; the rest comes up in the discovery call.
Agents that handle a bounded job on their own: replying to a sales DM, drafting a quote from your price list, chasing an unpaid invoice. They show their reasoning, and they escalate when they're not sure.
WhatsApp first, web chat or voice if you need them. The agent reads your CRM and calendar before it replies, and switches between Bahasa, Mandarin, and English on the same thread.
The work nobody wants to do: re-typing invoices into your accounting system, copying WhatsApp leads into the CRM, building the same monthly report from the same spreadsheets. Automating that frees the hours your staff are losing to it.
Whatever you already run (Hubspot, Xero, Microsoft 365, a custom database), the AI talks to it directly. The integration work is what we do; your existing tools stay.
The Monday-morning dashboard you've been meaning to build. Pulled together automatically from wherever the source numbers actually live, refreshed without anyone touching it.
If your data has to stay inside your own infrastructure (a clinic with patient records, a bank with regulator constraints), the AI runs on your own servers or your own cloud account. Nothing leaves.
If you're not sure where AI belongs in your business yet, the audit covers it. After a few sessions you walk away with a written doc: where AI would help, what it would cost to build, what shouldn't be touched.
The audit is free. Tell us what's broken. We'll tell you whether AI is the right answer, or whether something simpler is.
Start a conversation →Three pilots across very different desks. Numbers below are from their live systems and prototype evals.
An AI Sales Rep answers leads on WhatsApp in Bahasa, Mandarin, and English at any hour, pulls a quote from the live materials catalogue, and tags the conversation for the team to pick up the next morning. The same system holds the quotation, the project tracker, and the client portal where homeowners see progress, so nothing gets re-keyed between tools.
“The quote system runs without me. I review at the end of the day, half the work is already done.”
An AI Procurement Manager turns inbound sales RFQs into multi-supplier comparisons in minutes by querying mills and forging suppliers across Asia and Europe for stock, price, and lead time, then aggregating the replies into one view. It watches reorder points across all 3,200 grades in real time, drafts purchase orders against approved suppliers, and only escalates to a human when the price or lead time falls outside policy.
“Procurement used to chase ten supplier emails to quote one customer. Now the comparison lands in fifteen minutes and the PO drafts itself.”
An AI Equity Deep Research Agent runs continuous coverage across the 20+ industries the family tracks across SG, MY, and the US. It synthesises public filings, expert-network transcripts, and unstructured qualitative signals into industry primers, earnings summaries, and comparable analysis tables, with every claim cited. The portfolio manager picks the questions; the agent does the reading week two senior analysts couldn't get to. Each memo lands as a structured doc in the reading queue, ready for the same investment conversation the family has been having for three decades.
“I asked it for a primer on US data-centre cooling. An hour later it was on my desk, with comps, key catalysts, and three names worth a deeper look. All cited.”
Hyperscaler capex shifting from air to liquid cooling as rack densities cross 50kW. Two-stage liquid winning on TCO; immersion still niche. Malaysia (JB) is absorbing SG-displaced data-centre capacity. Local beneficiary tape worth tracking.
NVIDIA GB200 ramp · YTL DC Phase 2 commissioning · SG power moratorium review.
Most AI projects look great in the demo. They quietly stop working six months later, because nobody planned for the team that has to keep the system alive after we leave. Below is the work we do for that team.
If yours isn't here, WhatsApp the question to us. We answer everything personally.
30 minutes on a call. Pick one process that frustrates you: the unanswered WhatsApp messages, the quote backlog, the spreadsheet you rebuild every week. We'll tell you whether AI is the right tool for it, or whether you need something else.