the science of human decision-making

We measure how decisions are (actually) made.

Real behavioral data captured through validated simulation technology for over six decades — a foundation you can build on.

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people measured
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decisions captured
The Science Our Products
the problem

AI can model what people say. It cannot model how they decide.

AI now makes consequential decisions: what to flag, what to recommend, when to escalate, when to defer to a person. Each of these rests on an implicit model of how people decide.

Human decision-making, however, is non-linear and complex, and individuals cannot describe their own reasoning objectively. AI therefore constructs its model from the evidence available to it: text, surveys, and self-report. None of these sources captures how a person actually decides under pressure.

The result is, at best, an approximation. A valid model can be obtained only by measuring decision-making directly, from behavior. That is precisely what we do.

how we measure

How people actually decide — not what they say.

A 30-minute simulation turns behavior into measurement.

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cognitive readout · 30+ factors
30+factors
measured
One simulation, 30+ measured factors of how someone decides.
Validated against real performance
Every factor correlated with real-world outcomes — not a self-assessment.
p<0.037× more accurate500+ publications
01 — Simulate

Real decisions, real pressure.

A 30-minute simulation places people inside consequential decisions and records each action — how they frame the problem, what information they seek, and when they commit.

02 — Measure

30+ cognitive factors, measured from behavior.

Measured directly from behavior, not self-report — how they weigh risk, manage tempo under pressure, and adapt strategy as conditions change.

03 — Validate

Correlated with real-world performance.

Every factor is validated against real-world outcomes at p<0.03 — 7× more accurate than traditional methods, across 500+ peer-reviewed publications.

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where it runs

Where our science goes to work.

One validated model, for individuals, for organizations, and for AI.

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The model supporting your agents.

The cognition layer.

The same model, embedded in AI systems. A validated layer of human judgment your agents and copilots build on — so the systems deciding for you are calibrated to how people actually decide, rather than to an assumption.

the science

A measurement standard, not an opinion.

Meseekna is science-first, not merely backed by science. The simulation technology was developed by scientists and first validated in the laboratory through double-blind, placebo-controlled studies. It has been validated continuously across industries and roles, and it underpins more than five hundred peer-reviewed scientific publications. It is a validated instrument, not an inference drawn from text or self-report.

Relied on by elite decision-makers NASA U.S. Military Medical residency programs Consulting firms Investment banks
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