Applied AI Lab · Singapore

We turn frontier models into
systems that understand a domain.

Seven products, each built to master a single domain — from population science to capital markets.

DisciplineApplied AI · Domain Systems
Output7 Products · Active Research
BasedSingapore

Generic intelligence is solved.
Domain intelligence is the frontier.

The premise of the lab
07
Products
07
Domains
04
Research Tracks
01
Discipline
The Approach

How we make AI domain-true.

A frontier model knows a little about everything — and the deep structure of almost nothing. We close that gap: with systems today, and our own models next.

01 / Domain Systems

The harness around the model.

Retrieval, validation, orchestration, evaluation — everything that turns a general model into a system a field can trust.

02 / Domain Models

Weights that know the field.

Training our own weights on domain corpora, so the knowledge lives in the model itself.

03 / Domain Evaluation

Proof over plausibility.

Calibration against real ground truth. We state what our systems can't do as clearly as what they can.

Live · 8B-person synthetic society
Flagship · CrowdOS

A calibrated model of human population.

Ask a question. Hear back from a census-grounded crowd.

A synthetic society of census-calibrated agents that deliberate, vote, and disagree — validated against national survey data, instrumented against sycophancy.

91.6%
Pew Parity
4,000+
Persistent Archetypes
21
Markets
Visit CrowdOS
The Work

Seven products, seven domains.

Each is a live application of the lab's discipline to a different field — where our research meets real users.

C
Live · Flagship

CrowdOS

Population intelligence, census-grounded.

Synthetic focus groups on an 8-billion-person population model — ask a question, hear back from a calibrated crowd.

Synthetic PopulationsAPI + MCP
Visit
D
Live · Public

Daymaster

Three classical systems, one reading.

The first engine to fuse Bazi, Zi Wei Dou Shu, and Tarot into a single coherent reading — computed from your chart, never generic.

Domain EngineGrounded LLM
Visit
iOS & Android

道一 · Dao1

Counsel for the questions that matter.

A bilingual wellbeing companion that learns your temperament and gives grounded counsel — not prophecy.

Wellbeing AIPrivacy-First
Visit
S
Beta

Sona

Speak freely. It writes clearly.

Turns rambling speech into finished text, shaped for its destination — an email, a note, a task.

Voice InterfaceSpeech-to-Intent
Try Beta
R
Beta · PWA

Riff

Grounded in the clothes you own.

Digitize your wardrobe, then compose outfits and pack for travel from your real closet — no fantasy catalogue.

Vision + LLMMobile PWA
Try Beta
B
Beta

Bacon

An investment radar that reads everything.

Scans filings, funding, hiring, and launches to surface opportunities early — every pick carries its evidence.

Signal IntelligenceDeal Flow
Try Beta
Live · Web + Telegram

PAO 跑

Every run counts.

A running coach whose sports-science engine computes pace, load, and plans — the AI narrates, never guesses. From habit-building to multi-day race squads.

Sports ScienceDeterministic Engine
Research

Open problems we're working on.

The questions beneath our products are open. Four active tracks, pushing from systems around models toward models of our own.

Read the full research →
Track 01 · Domain Model Training In Progress

Domain-specific model weights.

Training our own weights on metaphysics and population corpora — knowledge in the model, not just around it.

Track 02 · Synthetic Populations Ongoing

Calibrating synthetic society.

How closely can a synthetic population track a real one? Validated against ANES, GSS, and Pew.

Track 03 · Grounded Reasoning Ongoing

Answers that carry their evidence.

Outputs traceable to their basis, that refuse gracefully when the ground truth isn't there.

Track 04 · Formalising Classical Systems Ongoing

Ancient systems as computation.

Formalising Bazi, Zi Wei Dou Shu, and Tarot into versioned, testable engines.

About the Lab

Patterns in motion.

Motif Motion is a Singapore-based applied AI lab. We build, ship, and publish — each product an experiment in what domain-specific AI can do.

More about the lab →

The largest models are extraordinary generalists. The open problem is depth — making AI perform like a specialist, with the field's own structure, constraints, and standards of proof. Closing that gap is the lab's whole discipline.

Get in Touch

Building the AI that understands a domain.

For research collaboration, press, or partnership — we'd be glad to hear from you.