A synthetic engine that predicts demand, then acts on it.
Two parts: the engine models your market, the agentic layer acts on what it finds. Use one, or run the full loop.
One loop, running on your market.
The engine does not run a study once and stop. It learns from every pass.
Act
Simulates a question and predicts how each segment responds.
Observe
Compares that against real signal, from census records to live social data.
Learn
The gap is the lesson. The model adjusts so its next prediction is closer.
Repeat
Every cycle compounds. The model you query next quarter is sharper than today's.
Your panel is an asset, not a one-off.
Fully synthetic, built on real data.
A simulation is only as good as what you build it from. Ours starts with real behavioural data and stays close to the market.
Fully synthetic by design
Every response comes from a synthetic consumer. No panel fatigue, no survey bias. 10,000+ responses in seconds.
Grounded in real data
Panels start from census records, statistical agencies, and historical survey data, matched to your market.
Tuned to local culture
A proprietary social listening layer keeps the panel current across Hong Kong and APAC.
From insight to action, on the same loop
The same brain that predicts demand can act on it.
Use open-source Agent Skills like preferences-validate to run concept tests from your coding agent.
Model
Reads the market, splits it into segments with real buying behaviour.
Create
Agents generate offers and messaging tuned to each segment.
Push
Each reaches the right channel at the right moment.
Optimise
Spend follows the buyers most likely to convert.
Every campaign feeds behaviour back into the model, so the next targets better.
What a competitor would have to rebuild.
APAC signal, not Western guesses
Each panel is tuned to local behaviour. Bangkok behaves differently from Manila.
Accuracy at the detail level
We match how traits occur together, not just headline demographics.
A compounding asset
Tomorrow's question uses the same model as today's, and the model keeps learning.
Built to adapt as AI evolves
The architecture takes on the best foundation models as they arrive.
Use the engine, or run the full loop
The simulation brain
A digital population modelled at the trait level from real APAC data. For product, pricing, and message testing.
Putting the brain to work
An agentic engine that builds, targets, and runs campaigns off the same panel. Fully managed, integrated, or self-serve via API.
See the engine run on your market.
Book a 30-minute demo and we will show you a sample APAC panel in your category.
Talk to our team →