Built in Singapore.

Technology built for everyday life in Singapore.
We build practical solutions to everyday problems.

Built with modern tools.

The languages and frameworks we reach for — from mobile to web to AI.

TypeScript
React
Next.js
Swift
Kotlin
Python
Node.js
Tailwind
PostgreSQL
1import { build } from '@reddotos/core';
2
3// Every product starts with a problem worth solving.
4const product = build({
5 problem: 'Parking in Singapore is a guessing game',
6 idea: 'Compare rates and availability in real time',
7 ai: 'amplifier', // not the identity
8 region: 'sg',
9});
10
11await product.ship();
12console.log(product.status); // 'live'

Software Stack

The tools we build, design, and ship with — from idea to product.

Claude
Codex
CapCut
Android Studio
Figma
GitHub
Cloudflare
AWS

Design-led.
Built to last.

We care about how things work and how they feel.
Every product is designed to be understandable, useful and enjoyable.

Built to understand you
HabitsEnergyToday
Sleep
7h 12m+4%
6h 54m
Steps
8,204+12%
7,310
Focus
3h 40m-6%
3h 55m
Energy
Sleep7d
Workout4d
Read12d
Today

Interfaces that think.

We turn scattered data into dashboards that feel alive — clear at a glance, built to run every day.

Deploy anywhere
Vercel
Claude
Supabase
your-app
Live

Ship real

Prototypes are only the start. We ship products people actually use, then keep improving them.

ParkHere SG

Built by REDDOTOS / 001 · Mobility · Singapore

ParkHere SG

Find better parking, faster.

From idea to product.

Apps

Useful mobile experiences built around real problems.

AI

AI where it actually improves the experience.

Web

Modern digital experiences and platforms.

Dashboards

Complex information made understandable.

Automation

Less repetitive work. Better workflows.

Experiments

Testing ideas before deciding what they become.

REDDOTOS LABS

Small ideas. Fast experiments.

Not everything we build needs to become a product. We prototype, test, and learn — in the open.

AI / AgentsDeployed
UX
Marketing
Business

Experiment 1

Three AI agents each review the product from a different angle and generate a report on how to improve it.

MCP / ToolingDeployed
{
  "jsonrpc": "2.0",
  "id": 2,
  "method": "tools/call",
  "params": {
    "name": "get_weather",
    "arguments": { "location": "New York" }
  }
}

Experiment 2

Connecting those agents to real product context — code, design tokens, live data — through MCP.

AI / QAExploring
TestCatchImprove

Experiment 3

An agent that uses the live product like a real visitor, catching issues and feeding them back into the loop.

What people are saying

The people and teams we build alongside.

“Real testimonial coming soon — this card will hold a genuine quote from someone we've built with.”

“Real testimonial coming soon — this card will hold a genuine quote from someone we've built with.”

“Real testimonial coming soon — this card will hold a genuine quote from someone we've built with.”

“Real testimonial coming soon — this card will hold a genuine quote from someone we've built with.”

“Real testimonial coming soon — this card will hold a genuine quote from someone we've built with.”

“Real testimonial coming soon — this card will hold a genuine quote from someone we've built with.”

“Real testimonial coming soon — this card will hold a genuine quote from someone we've built with.”

“Real testimonial coming soon — this card will hold a genuine quote from someone we've built with.”