Action models 2026
Action models for product and strategy.
Most AI predicts words. We run causal experiments to predict which action wins, then test it against published human studies.
0.73
Mean rank correlation · 43 filtered studies · human ceiling 0.959
8h
To a live simulation
24/7
Always-on experiments
SOC 2
Type I certified
The problem
The say-do gap.
$80B a year buys research on stated preferences. 46% of online panel respondents fail basic quality checks.
Stated
"I'd pay 20% more for premium."
62 pp
Revealed
Buys the cheaper SKU 6 of 7 weeks.
FIG · ILLUSTRATIVE · drag the red line
Model what people do, not what they say.
How it works
Live within eight hours.
Four steps. A live simulation within eight hours. Experiments in under five minutes.
01 · Connect
Your data, your customers
De-identified histories become the market. No syndicated proxies.
02 · Define
The decision that matters
Price, message, segment or channel. Frame it as a counterfactual.
03 · Simulate
Random assignment, in silico
Treatment against control. Agents return actions, not opinions.
04 · Prioritize
Outcomes ranked by lift
Causal effects with confidence intervals. Best action first.
Use cases
Where this earns the meeting.
Pricing
Elasticity, before markdown season eats the plan.
Find the price that lifts contribution without cannibalizing.
Messaging
Pretest copy against the cohort that buys.
Ship only the lines that move behavior.
Product
Counterfactual feature priority.
The roadmap stops being a list of opinions.
Audience
Behavioral clusters, not demographic shells.
Who churns, upgrades or refers. Probabilities, not personas.
Pricing
Priced like software.
One public number. Everything else is a conversation, scoped to the decision you need proven.
TIERS · LIST PRICE ONLY
Client outcomes
What shipped on this.
5×
Head of Product, Finta
5× ARR · +92% revenue uplift on the validated price.
$8M
VP Research, Fortune 100 Aerospace
Full research budget replaced by a 3-minute simulation.
+30%
New Age Floral
CTR after the validated creative change.
Performance
Against the incumbent stack.
Metric
Traditional research
Subconscious
Time to insight
6–8 weeks
Under 5 minutes
Mean rank correlation
0.55
0.73 · n=43
Sample size required
1,000+
0 (synthetic)
Privacy compliance
Manual audit
By design
Word of mouth
What operators say.
QUOTES · ILLUSTRATIVE · ROLES, NOT NAMES
Questions
Asked, answered.
The next decision doesn't have to guess.
Backed by insiders from
Sequoia · OpenAI · UChicago · Bloomberg
Compliance
SOC 2 Type I · GDPR & CCPA · Zero data sharing · 99.5% uptime SLA
Partners and hiring
Build with us ·
Come work here