We install AI lead engines, customer agents, and ops automation that reclaim hours for Singapore SMEs. First audit ships in 2 weeks.
TrainKidsAakar Hindi
Nahl Gifts
TrainKidsAakar Hindi
Nahl GiftsAI levels the playing field. Mid-market teams are now competing against companies that have automated qualification, follow-up and ops. The gap widens monthly.
of Singapore SMEs had adopted AI by 2024 versus 62.5% of large enterprises
SME adoption tripled in a year (from 4.2% in 2023), but the absolute gap to large enterprises widened to ~48 points.
IMDA SGDE Report · 2025 ↗of a sales rep's week is spent on work that is not selling
Reps spend only ~28–30% of the week with buyers. The other ~28 of 40 hours go to CRM data entry, internal meetings, prospect research and inbox triage, exactly the work AI agents are now good at.
Salesforce State of Sales ↗of value a 25-person SG services SME loses to manual ops each year
Estimate, for a 25-person Singapore services/F&B SME with 2 sales reps and ~S$2M revenue: ~S$50k in rep payroll on non-selling work (2 × S$60k loaded × 70%), ~S$24k in slow-follow-up lead drop-off, ~S$10k in quote rework and billing leakage.
Msmerize estimate · Salesforce SoS ↗Outbound · qualification · routing
Scrapes, enriches, replies on LinkedIn and email, qualifies leads, and books meetings, all in your domain, not a vendor's.
Outcome: more qualified meetings per rep; your team stops losing hours to prospect research and follow-up. Typical payback: 60–90 days vs. an SDR hire.
WhatsApp · web · voice
24/7 multilingual agents that handle inbound enquiries, bookings, quotes and L1 support. They hand off to a human the moment intent or value crosses your threshold.
Outcome: first-reply time drops from hours to seconds; evenings and weekends covered with no extra headcount. Typical payback: recovered after-hours conversions inside the first 60 days.
Back-office · finance · ticketing
We map your messy 14-step workflow and shrink the parts that should run on rails. Quoting, invoicing chase, onboarding, document review and internal reporting run autonomously.
Outcome: a meaningful slice of weekly admin hours returned to the team for revenue work. Typical payback: ~1 FTE of admin reclaimed per ~3 workflows installed.
Internal copilots · RAG · agents
A private LLM trained on your SOPs, contracts and customer history. Your team queries it like a senior teammate with seven years of tenure.
Outcome: new hires reach productivity in days instead of months; senior knowledge stops walking out the door when staff leave. Long-term ROI: institutional memory becomes a moat, not a vulnerability.
Not all AI systems are necessary, some are overhyped. We believe a great solution starts from an intentional audit, fixed-scope sprint and an actionable blueprint.
Two-week paid sprint: we shadow your team, score every workflow on revenue impact × effort, and hand back a heat-mapped opportunity audit.
We blueprint the agents, prompts, integrations and human-in-the-loop (HITL) checkpoints. You approve, line by line, before a single API key is provisioned.
An average install ships in 4–6 weeks. We work in your stack, in your tenant, on your domain. You watch the dashboards fill in real time.
Optional managed retainer: we monitor, retrain, A/B prompts, and ship weekly improvements. Cancel any month, you own everything we built.
We're a small, lean team of founders, AI power users, and people who live and breathe AI. The person who scopes your audit is the person who ships it.
We are a team of 17 and 18-year-old entrepreneurs from Raffles Institution and Ngee Ann Polytechnic. While others are just starting to learn about AI, we've been building with it in the Gryphon Accelerator and launching startups since we could code. We don't just use tools; we architect outcomes.

Obsessed with bridging the gap between big-picture vision and last-mile execution. Arish leads our sales automation and lead nurturing strategy, helping local businesses stay visible and responsive.

An algorithm-driven builder focusing on tech and finance. Pranav previously founded Clockwork, an AI-powered productivity startup, and now architects our automation pipelines.

A builder specialising in prototyping and user-centred design. Gracia brings the aesthetic edge to our technical systems, ensuring every client touchpoint is premium and effective.
The AI landscape moves faster than traditional consultancy can adapt. We grew up in this speed. Our "naivety" is actually a refusal to accept the status quo of clunky, inefficient business processes.
We don't exist to sell software. We exist to ensure that Singapore's 350,000 SMEs don't just survive the AI revolution, they lead it. We build the systems so you can focus on the substance.
We're in our founding cohort: one customer agent live in production, five slots open, and a public scorecard with a money-back guarantee on every one. No fabricated logos, no inflated case studies.
An AI WhatsApp agent fields parent enquiries: programmes, intake, class slots, in seconds, 24/7. The agent triages and answers before a human steps in; the front-desk team only picks up conversations that genuinely need them.
We agree the KPIs with you up front: reply time, qualified meetings, hours reclaimed. We publish them as a public scorecard, hit or miss. If we miss the pre-agreed targets at day 90, you get a proportional refund of the engagement fee. No retainer lock-in.
All engagements from 2026.


Every engagement begins with a paid Discover sprint. From there you choose Build, Build + Run, or roll us into a quarterly retainer.
Two-week paid sprint. Risk-free. Credits to Build if you continue.
Audit, scope and ship one or two engines end-to-end. You own the code, prompts and data.
Compound the system. Add engines, deepen integrations, priority access to a senior team.
Still have one we haven't covered? Email hello.msmerize@gmail.com , we read everything.
Book a 30-minute consult with a partner. We'll map your top three growth workflows live, on a shared screen and tell you which ones are worth an audit.