The future of enterprise
decision making

Simulate human behavior
before spending a single
dollar in the real world

We build self-improving AI clones
grounded in real people to answer
your hardest market questions

The decision-making industry

Every company has millions
of questions to answer

Consumer products
How well does this newly formulated mayonnaise land with homemakers in Northern Brazil?
Retail
Which is the best loss leader to attract male buyers in Adelaide and Sydney?
Banking
What incentive leads to more students opening checking accounts in Spain?
Healthcare
What hair-loss prevention supplement is preferred by men over 30 in Sweden and Norway?
Politics
How does this new alliance move undecided voters in California?
Communications
Which of three launch messages wins the most Gen Z buyers in CDMX?
Automotive
How many first-time buyers pick the hybrid if we close the price gap to $2,000?

How it works

01 / real humans

Our AI engine extracts sentiment and preference from real humans, not top-down census stats or survey averages

02 / ai clones

Each clone runs on a proprietary statistical core modeling real preference and sentiment, not a prompt pretending to be a person

03 / self-improvement

Every prediction is checked against a real decision, and the statistical core recalibrated only where it drifts from reality

Why Canonical

01
Speed

Run your research instantly, while traditional methods take weeks or months to finish and even longer to act on
02
Scale

You never choose between depth and breadth, running large samples and deep dives at once with no picking between big surveys, in-person interviews, or focus groups
03
Relevance

Modify and rerun any question on demand, so your insights never go stale or get buried in a PowerPoint, they move with the market

The team