Why we exist
Human decisions drive every business outcome, yet most systems still optimize for proxy metrics. We founded Subconscious.ai to close the gap between what people say and what they do, applying Nobel-backed discrete choice modeling to real-world operating questions.
How we operate
We operate as a working lab embedded with leaders across CPG, fintech, healthcare, policy, and frontier tech. Each partnership pairs our researchers with operators to validate causal hypotheses before a dollar is spent.
We publish findings internally, pressure-test them against live data, and fold every insight back into the platform. Partners help set our research agenda and keep the product grounded in operational reality.
What defines our team
01 :: Interdisciplinary by design
Economists, cognitive scientists, growth operators, and ML engineers sit together to translate theory into compounding playbooks.
02 :: Scientific rigor
We replicate academic studies, run blinded experiments, and audit every release against causal accuracy benchmarks.
03 :: Ethical guardrails
A standing review board evaluates bias, consent, and downstream impact so simulations respect the humans they represent.
04 :: Operator-first mindset
We build with the teams who will deploy the findings—tying every experiment to revenue, retention, or mission-critical outcomes.
What we work on
01 :: Industry fieldwork
Deep dives with market leaders in aerospace, consumer finance, healthcare, and climate to surface latent behavioral drivers.
02 :: Simulation research
Continuous experiments on millions of agent profiles to validate how messaging, pricing, and sequencing influence action.
03 :: Product translation
Every insight becomes a repeatable workflow inside Subconscious—from segmentation recipes to causal dashboards.
04 :: Ethics and policy
We collaborate with regulators and academic advisors to ensure behavioral simulations remain responsible and auditable.
05 :: Knowledge compounding
Findings replay across customers so new partners inherit a living library of decisions, motivations, and validated plays.
06 :: Talent development
We host research residencies and operator forums to upskill teams who will own behavioral simulation inside their orgs.
Operating principles
01 :: Causal-first architecture
Every experiment starts with a causal hypothesis and is instrumented to isolate why behavior changes, not just if it changes.
02 :: Secure data collaboration
Partners connect via privacy-safe enclaves. Sensitive attributes stay anonymized while retaining behavioral signal.
03 :: Bias and drift audits
Automated monitors surface demographic skew, performance drift, and hallucinations before they hit production dashboards.
04 :: Explainable outputs
Every recommendation includes the motivations, trade-offs, and agent profiles that drove the outcome.
05 :: Privacy-by-default
We comply with GDPR, CCPA, and industry-specific controls so simulations stay enterprise-ready.
06 :: Human-in-the-loop
Operators can override, annotate, or replay scenarios, ensuring the platform augments judgment instead of replacing it.
Frequently
asked questions
01 :: Who is building Subconscious.ai?
Subconscious.ai is led by operators from Deloitte, McKinsey, Coinbase, and product teams at hypergrowth startups. We pair them with behavioral scientists, economists, and ML researchers who specialize in discrete choice modeling.
02 :: How do you work with partners?
We embed with 6-8 anchor partners each quarter. Together we scope the decisions that matter, simulate alternative paths, and productionize the winning strategies. Partners co-own the roadmap and receive dedicated researcher support.
03 :: What roles are you hiring for?
We are hiring senior researchers, data engineers, growth operators, and behavioral scientists. See open roles and submit your background via our careers form.
04 :: How can I get involved?
Join a research residency, contribute to our open protocols, or co-run an industry working group. Email partners@subconscious.ai to start the conversation.