Built to tell
businesses what
to do next
We build action models for product, pricing, and strategy decisions. The company brings together market simulation, behavioral science, and enterprise deployment.
Meet the team↗︎// Mission
Why we started Subconscious
Markets need transparent pricing, competing sellers, and real consumer choice to function. When those conditions exist, they're unbeatable. When they don't - which is most of the time - decisions get made on intuition, politics, and whoever talks loudest in the room.
Product strategy, messaging, go-to-market timing, policy impact - none of these have a market price. So organizations guess. They run surveys that measure what people say, not what they do. They ship and hope.
We build AI scientists that run replicable behavioral experiments before the decision gets made. They show their work. They measure value and harm with more discipline than intuition ever could.
Markets work when goods are priced. Most consequential decisions never are.
// Enterprise engagement
How we engage
Every engagement starts with a real decision and a method strong enough to survive executive review, procurement, and deployment.
We work with enterprise product, strategy, and research teams that need a system they can trust, defend, and act on.
The goal is not more information. It is better action.
What defines us
Wall Street DNA
Built by a Two Sigma quant who applied market simulation methods to product decisions. 2x exits to S&P 500. Products used by 2M+ users.
Discrete choice pioneers
20+ published papers. The same quantitative methods hedge funds use to model risk - applied to customer behavior and pricing.
Ethics with conviction
Strong views about what should be measured, what should not, and how to measure harm ethically at organizational scale.
Built for operators
We work backward from executive decisions - pricing, product, GTM, risk, and capital allocation.
Decisions we help with
What should we build?
The cost of building anything has collapsed. The value of knowing what to build has not.
Where to allocate capital?
Isolate the causal drivers behind conversion, retention, and revenue - before committing budget.
Where could this do harm?
Measure downstream harm before you scale a decision. Causal science, not compliance theater.
What can we defend?
Every recommendation tied to experimental design, documented assumptions, and auditable evidence.
How do we compound learning?
Experiments become organizational memory - not isolated project files that gather dust.
How do we deploy?
From research conviction to operational rollout without losing rigor in the handoff.
// Who we are
Leadership
Avi Yashchin
CEO and Co-Founder | Ex-Two Sigma quant. 2x exits to S&P 500. Guest lecturer at Wharton. Johns Hopkins CS, NYU Stern MBA
Dr. Subodh Dubey
Behavioral Economics | 20+ published papers. Pioneer in discrete choice theory
Tatevik Karapetyan
Research | Behavioral science researcher. Experimental design and causal inference
Connor Joyce
Behavior Change | Microsoft. Behavioral science product leader. Ex-Twilio
// Investors and advisors
Backed by
Insiders from Sequoia, OpenAI, UChicago, and Bloomberg.
Institutional capital
Backed by operators and investors from Sequoia, OpenAI, UChicago, and Bloomberg who understand decision infrastructure.
Published methodology
Open-source benchmarks, published preprint, 350+ replicated human studies. Our work is inspectable.
Enterprise partnerships
PwC, Deloitte, Fortune 100 aerospace, and growth-stage SaaS - teams that need defensible answers.
Ethical measurement
Bias, consent, and harm treated as research questions with measurable thresholds - not marketing statements.
Frequently asked questions
// Want to learn more?
Replies within 48h.
What makes Subconscious different from other AI companies?
We were built around experimentation, not content generation. Our work is grounded in replicable quantitative research, published methods, and direct collaboration with serious behavioral scientists.
Who do you work with?
We work with enterprise operators, institutional research groups, and top behavioral science labs that need defensible answers to high-value decisions.
Why talk so much about ethics and harm?
Because optimization without moral clarity is dangerous. We believe causal science should help organizations measure harm and trade-offs with more precision, not less.
Are you hiring?
Yes. We hire researchers, engineers, designers, and operators who care about rigorous experimentation and real-world decision quality.
// Long-term vision
The company we are building
We started Subconscious to build the optimization engine for everything markets fail to price well. Traditional capitalism is extraordinary at optimizing priced goods. It is much weaker anywhere value, risk, or harm are hard to measure.
Our job is to give organizations a new kind of science: causal science that makes experimentation cheaper, more ethical, and more useful in the places where intuition has dominated for too long.
Talk to the team to learn how behavioral simulation can transform your decision-making.