INTELLIGENCE   IN   ACTION

Where workflows meet intelligence.

Applied AI for the operational backbone of Southeast Asian property management.
SINGAPORE / 2025— PRIVATE & CONFIDENTIAL
SCROLL
01   ·   Premise
Property management runs on spreadsheets, WhatsApp threads, and institutional memory in the heads of tired managers.

We replace the brittle parts with AI — without replacing the people who actually know the buildings.

02   ·   The Firm

At a glance.

2025
Founded
in Singapore
01
Flagship
Apex AI Platform
22
Modules
in scope
100+
Properties
addressable
15+
Years
founder experience

Zeno AI is a Singapore-based applied-AI studio founded in 2025. We sit between cutting-edge model capability and the messy reality of day-to-day building operations — turning automation, RAG retrieval, and conversational interfaces into systems that property managers actually use.

03   ·   The Product

Apex
AI
Platform.

The Flagship

A cloud-native operating system for residential property management — built ground-up for Singapore MCSTs and engineered for SaaS scale across Southeast Asia.

Two operating modes. Unstaffed sites and staffed sites — one platform, configurable per property.
AI as the spine. RAG-driven knowledge base, automated reports, OCR invoicing, WhatsApp as the primary resident channel.
05   ·   The Value

Hours back. Costs down.
Residents calmer.

Projected operational impact per managed property, post full rollout.

~12 hrs
PER WEEK
Community Manager time recovered — automation of routine tickets, compliance reminders, monthly reporting.
~70%
FASTER
Resident-issue response time over WhatsApp — AI triage handles the first reply in seconds, not hours.
~85%
AUTOMATED
Invoice processing — OCR + structured extraction replaces manual data entry into the finance system.
1 day
VS   3—5
Monthly management report turnaround — AI drafts from live data, manager edits instead of authors.

Estimates based on industry workflow baselines and pilot deployment configuration. Actual outcomes vary by site.

06   ·   In the Field

Already live
across a real portfolio.

Our pilot deployment is being rolled out across a 100+ property portfolio in Singapore — a multi-phase build covering the full 22-module platform, in production use today.

100+
Properties (MCSTs)
22
Modules deployed
7 mo
End-to-end build
3
Delivery phases
07   ·   Delivery

Seven months, three acts.

ACT I
Operations
Month 1—2
7 modules

The backbone. Workflow, compliance, utilities, knowledge base, arrears, assets, internal WhatsApp.

ACT II
Intelligence
Month 3—5
9 modules

The AI layer. Monthly reports, work orders, OCR, budgets, resident channel, repairs, notices.

ACT III
Residents
Month 6—7
7 modules

The interface. Move-in/out, renovation, bookings, vehicles, visitor access (LPR + manned), payments.

08   ·   The Model

Build once.
Sell many.

The pilot is the proof. The product is the asset.

01
Implementation fee
One-time per property cluster — setup, configuration, training.
02
Annual subscription
Recurring maintenance — bug fixes, AI tuning, quarterly feature drops.
09   ·   Why Us

Three reasons we're
hard to replicate.

I.
Domain depth.

Founder co-built one of Singapore's largest smart-condo platforms (hiLife). We know MCST regulation, strata rules, and what a community manager does at 7am on a Monday.

II.
AI-native architecture.

Not a CRUD app with a chatbot bolted on. RAG, vector search, structured prompting, and Claude inference are first-class citizens in the data model.

III.
Live & battle-tested.

The platform is already in production across 100+ properties. Real residents, real invoices, real edge cases — every new deployment inherits that hardening.

Correspondence

Let's build the operational backbone of what comes next.

Founder

Charles Ji  ·  Founder & CEO
charles.ji@zenoai.sg
Singapore

Registration

Zeno AI Pte. Ltd.
2 Kallang Ave #05-08 CT Hub
Singapore 339407