[d] panel · [s] shuffle · [f] fullscreen · [r] reverse · [m] mode

Outcomes teams
shipped after
simulation

These are the decisions teams rehearsed in Subconscious, the actions they took, and the outcomes they shipped.

Request the deck↗︎

Proof over promise

Why teams showcase

Each case study shows the decision, the action the team took, and the result that followed.

The point is not just that the model was interesting. The point is that teams used it to make a better move.

From 5× pricing lift to 93% launch precision, these are outcomes teams shipped after simulation.

Decision. Action. Result.

Behavior-driven outcomes

Featured collaborations

From growth-stage SaaS to Fortune 50 manufacturers, partners use Subconscious.ai to answer “what if?” without risking a launch.

Request the full deck for detailed numbers, timelines, and the exact playbooks teams adopted after simulation.

We anonymize sensitive data while preserving the insight so your team can remix the workflow.

How we run a deployment

01

Hypothesis scoping

We work with your team to isolate the decision that matters most - pricing, messaging, feature priority, or channel strategy.

02

Audience calibration

Your customer data feeds a synthetic audience matched to real behavioral distributions. No panels, no recruitment.

03

Causal experimentation

We run controlled experiments that isolate cause from correlation, producing confidence intervals alongside every prediction.

04

Operational handoff

Results come as actionable playbooks: what to change, by how much, and the expected lift. API delivery optional.

Case study results

01 ::

Finta - 5× ARR growth

Validated a tiered pricing overhaul with causal simulation. Revenue grew 5× with zero incremental churn.

02 ::

Aerospace - $8M saved

Replaced six months of consumer research with five-minute simulations. Saved $8M on a single defense program.

03 ::

Policy - 28% adoption lift

Simulated message framing for a government benefits rollout. Increased citizen participation by 28%.

04 ::

Enterprise SaaS - 92→41 day cycle

Identified top-decile buyer motivations. Compressed enterprise deal cycle from 92 to 41 days.

05 ::

CPG - 93% forecast precision

Forecasted new product line demand. Sell-through matched predictions at 93% accuracy.

06 ::

Healthcare - 3× adherence

Modeled patient decision pathways. Tripled medication adherence via optimized outreach timing.