# Subconscious.ai

> Test a price, product, or message decision in a causal experiment before you commit capital.

Subconscious is a causal behavioral platform. It runs randomized experiments on
a simulation of a market, validated against real human behavior. The output is
the estimated effect of each option, its confidence interval, and the next
action.

## What the product does

1. Define the options, target customer, outcome, and decision threshold.
2. Connect customer, product, and market evidence.
3. Randomize the intervention while other conditions stay controlled.
4. Compare causal effects and uncertainty.
5. Act, revise, or stop.

## Public evidence

- **93% replication accuracy:** how often simulated studies reproduce the
  direction and outcome of the original human studies. This is a validation-set
  result, not a universal guarantee for a new market.
  Source: https://go.subconscious.ai/paper
- **Public leaderboard:** 417 replicated study runs across 5 research domains.
  Mid-range scores and failure modes are included.
  Source: https://subconscious.ai/leaderboard
- **Method paper:** validation protocol and comparison with human behavior.
  Source: https://go.subconscious.ai/paper

## Core pages

- [Product](https://subconscious.ai/showcase): How one decision becomes a tested action.
- [Customers](https://subconscious.ai/case-studies): Audited customer decisions and source notes.
- [Proof](https://subconscious.ai/research): Method, benchmark, and limitations.
- [Leaderboard](https://subconscious.ai/leaderboard): Current replication results.
- [How it works](https://subconscious.ai/#why-it-works): Inputs, operating loop, output, and review boundaries.
- [Company](https://subconscious.ai/about): Mission and leadership.
- [Blog](https://subconscious.ai/blog): Decision, industry, method, comparison, and evidence articles.

## Industries

- [CausalFlow](https://subconscious.ai/causalflow) — AI-powered causal graph generator using McFadden Hybrid Choice Models.
- [CausalIntelligence](https://subconscious.ai/causalintelligence) — Interactive simulation of discrete choice modeling.
- [CausalActions](https://subconscious.ai/causalactions) — Hybrid Choice Models bridging psychology and economics (Ben-Akiva & McFadden 2002).

## Editorial / Manifesto

- [Palantir for Peace](https://subconscious.ai/palantir-for-peace.html) — A 22-proposition response to the Palantir Manifesto, arguing for measuring what makes life worth living instead of war. By Avi Yashchin (CEO).

## Use Cases

- **Pricing optimization** — Test 50 price points in an hour. Find the revenue-maximizing tier structure before launch.
- **GTM messaging** — Run 100 message variants instantly. Ship the positioning that converts.
- **Product strategy** — Kill losing features before they burn runway; double down on what drives adoption.
- **Audience segmentation** — Identify the movable middle. Don't waste pipeline on the stubborn or the loyal.
- **Pipeline acceleration** — Score leads by predicted behavior, not stated intent.
- **Hard-to-reach audiences** — C-suite, specialists, patients, policymakers. Modeled from behavioral data, not self-report.

## Architecture (one paragraph)

Quantitative-trading-style discrete choice models, applied to customer behavior. Imports directly from Salesforce, HubSpot, Snowflake, or CSV — experiments run on your actual customer base, not generic panels. Each experiment trains the next; the org builds proprietary behavioral knowledge that competitors can't replicate. RESTful API, webhook triggers, native CDP/warehouse integrations.

## Blog & Newsletter

- [Blog](https://subconscious.ai/blog) — Evidence for decisions marketing, insights, and growth teams make before committing budget: what to test, how to read a result, and where it stops being reliable. Organised by buyers, comparisons, use cases, methods and validation, implementation, industries, and case studies.

Category hubs:

- [Comparisons](https://subconscious.ai/blog/comparisons): Method and tool choices, compared by the decision they serve.
- [Buyers](https://subconscious.ai/blog/buyers): Guides for the people who commission research.
- [Use cases](https://subconscious.ai/blog/use-cases): Specific decisions tested before budget commits.
- [Methods and validation](https://subconscious.ai/blog/methods-and-validation): How the estimates are produced and when to trust them.
- [Implementation and procurement](https://subconscious.ai/blog/implementation-and-procurement): Rolling causal testing into a research stack.
- [Industries](https://subconscious.ai/blog/industries): Sector-specific decision playbooks.
- [Case studies](https://subconscious.ai/blog/case-studies): Replications and applied studies with named methods.

Start here:

- [Data Twin, Self-Serve Persona, or Causal Test: Which Synthetic-Audience Method Fits the Decision](https://subconscious.ai/blog/comparisons/data-twin-self-serve-persona-causal-test-which-synthetic-audience-method)
- [Synthetic Responses vs. Causal Experiments: Choosing a Market Research Tool](https://subconscious.ai/blog/comparisons/synthetic-responses-vs-causal-experiments-choosing-market-research-tool)
- [Testing a Podcast Host-Read Script Before It Airs Once](https://subconscious.ai/blog/use-cases/testing-podcast-host-read-script-before-airs-once)
- [Should Your Agency Build a Research Practice, or Stay Execution-Only?](https://subconscious.ai/blog/buyers/should-agency-build-research-practice-stay-execution-only)
- [Video-Avatar Production vs. Causal Message Testing: Where Should Pre-Launch Budget Go?](https://subconscious.ai/blog/comparisons/video-avatar-production-vs-causal-message-testing-where-should-pre-launch)
- [CPG](https://subconscious.ai/cpg): Product, price, pack, and claim decisions.
- [Pharma](https://subconscious.ai/pharma): Positioning, access, and support decisions.
- [Telecom and Media](https://subconscious.ai/telecom-media): Price, bundle, churn, and audience decisions.
- [Policy](https://subconscious.ai/policy): Message, participation, and trust decisions.

## Contact

- Test a decision: https://subconscious.ai/meet
- Method paper: https://go.subconscious.ai/paper
- Trust Center: https://app.vanta.com/subconscious.ai/trust/zay190qrbpiq6mqy581ow
- Email: partners@subconscious.ai
- Careers: https://jobs.ashbyhq.com/subconscious