Subconscious.ai Fidelity Report

Causal proof before business decisions ship.

Subconscious is building a causal behavioral platform - a flight simulator for product, pricing, messaging, and GTM decisions before teams commit capital.

Category To Own

Causal behavioral platform. Not generic AI survey respondents, not faster research alone, and not broad world simulation. The useful frame is decision fidelity: which action changes which outcome, for which segment, before launch.

Business flight simulator

define the business objective,
compare candidate actions,
simulate target population response,
estimate causal effect and segment differences,
use validation and human evidence where available,
decide what to ship, test, price, or say next.

Why Now

AI makes simulation cheap enough to run many decision scenarios. The market still lacks a trusted causal layer that says which action changes behavior, for which segment, before a company commits budget or launches into the real market.

White Space

The current competitor map says many companies claim faster, cheaper, more representative, or more accurate synthetic research. The underclaimed word is causal. Subconscious should own causal proof before decisions ship.

Competitive Landscape

Bucket	What they claim	Subconscious counter-position
Speed-cost disruptors	Faster and cheaper synthetic research	Speed is table stakes; causal decision quality matters.
Accuracy-first validators	Benchmarks, logos, validation stats	Ask what was validated and whether it supports action effects.
Vertical specialists	Specific domains such as CPG, UX, health, epidemiology	Subconscious can start in specific decisions but compound as a causal platform.
Platform-as-behavior	Simulation infrastructure, SDKs, AI eval adjacency	Own causal behavioral infrastructure, not just simulation primitives.

Aaru Positioning

Aaru is the visible peer for broad decision/world simulation. Subconscious should not fight on who is more realistic in the abstract; it should own action-effect rigor.

Counter-position: Subconscious should emphasize controlled causal experiments and action effects, not just simulated outcomes.

Do not assert current Aaru funding, customers, pricing, or validation without refreshing public sources.

Named Competitors

Competitor	Why investors ask	Emphasis
Aaru	Closest narrative pressure around decision and world simulation.	Causal experiments and action effects, not just simulated outcomes.
Simile	Platform/human-behavior simulation with strong academic/funding narrative.	Causal decision layer and enterprise decision workflows.
Synthetic Users	Category name recognition and SDK posture.	Synthetic users are inputs; causal decision evidence is the output.
Evidenza	Logo and validation credibility pressure.	Validation must connect to decisions and causal effects.
Okareo	AI-infra and evaluation adjacency.	Model-lab wedge is sequenced, not the current only buyer.
Qualtrics	Incumbent research and survey distribution.	Surveys listen; Subconscious tests actions before capital moves.
Nielsen	Incumbent measurement and market data.	Measurement is descriptive; the wedge is prescriptive causal choice.
Behaviorally	AI-native consumer research and shopper insights.	Subconscious should own causal proof and decision simulation.
Statsig	Live experimentation and post-launch evidence.	Statsig tests after launch; Subconscious simulates before launch when live tests are expensive or impossible.

Investor Objection Handling

Objection	Strong answer	Evidence needed	Status
Isn't this just AI survey respondents?	No. The pitch is causal decision experiments, not persona roleplay.	Methodology source, validation source.	needs-review
Why not Qualtrics or Nielsen?	They own research workflows and measurement; Subconscious aims to own pre-commitment action simulation.	Competitive landscape and product proof.	needs-review
How do we know it is real?	Show validation architecture first, then approved proof points.	Current approved proof sheet.	external-use-needs-approval
Who pays now?	Enterprise teams with high-cost product, price, message, and GTM decisions.	GTM source plus live CRM context.	needs-review
What is the data moat?	Use validated behavioral evidence and repeated decision experiments as the compounding asset.	Source-backed data strategy, cleared wording.	needs-review
What if synthetic responses are biased?	Treat simulation as an experiment requiring calibration, validation, and uncertainty, not an oracle.	Industry critique and validation examples.	needs-review

Generated from reviewed repo packets. Exact customer names, metrics, revenue, logos, valuation, round details, cap table details, and case-study outcomes remain uncleared for public use.