Founders think they understand the market. They build. They launch. They hear "we don't need this." Too late.

Synthetic population. AI agents that remember, communicate, change opinions, influence each other. Throw your idea in — watch what actually happens.

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Seattle · Dec 2025
"We don't need this."

Weeks spent on a client's website redesign. Certain it solved their problem. Thirty minutes of presentation.

That was the whole conversation.

Classic Founder Effect — my bias became my product.

The Name

In genetics, when a small group founds a population, their blind spots are inherited by all descendants.

Same with products — founder bias becomes features.

Synthetic population simulation.

AI agents with memory, opinions, and social connections. They don't know they're being observed. They respond to your product like real people would.

SYNTHETIC POPULATION

500+ agents that think, remember, decide

Each agent has personality, beliefs, and social connections. They form opinions, change their minds, and influence each other. Emergent behavior — not scripted responses.

SYNTHETIC POPULATION
AGENT ARCHITECTURE

Three layers of human simulation

Genome: inherited traits. Memome: beliefs transmitted through social interaction. Phenome: current state responding to context. Modeled on decades of social science research.

GENOMEMEMOMEPHENOMEINHERITEDTRANSMITTEDCURRENT STATE
SIMULATION MODES

Fast-forward, real-time, intervention

Watch 5 years pass in minutes. Observe every interaction in real-time. Inject events and watch the cascade. Run Monte Carlo simulations for statistical confidence.

T0TIMET+NADOPTIONGROWTHFRICTION
BLIND SPOT DETECTION

See what you're missing

The simulation reveals objections nobody mentioned, adoption patterns nobody predicted, failures nobody saw coming. Your bias — exposed before it costs you.

BLIND SPOTSCANNING MARKET RESPONSE

Not a prediction. A map.

ADOPTION

Where it gets stuck

PERCEPTION

Who misunderstands your product

OBJECTIONS

What you didn't account for

FALSE POSITIVES

Who loves it for the wrong reason

Current methods don't work.

SurveysPeople say what sounds reasonable, not what they'll do
Focus groupsPeople play a role. Group dynamics distort truth
PersonasStatic. Don't change opinions. Don't influence each other
A/B testsShow what people chose, not why. Work post-factum

We're building this.

Join the waitlist to get early access when we launch.

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