Studio
Studio is an enterprise decision-simulation platform that builds a living model of a company's market and plays every version of a product launch—price, placement, or promotion—through it to forecast adoption, trust, repeat, and revenue lift. The platform ingests public chatter, reviews, and press alongside proprietary sales and loyalty data, modeling consumers as decision-based cohorts rather than individuals. It claims 95% forecast accuracy across 200 million modeled consumers, with repeatable, auditable simulations designed to be verified before committing resources.
- Data & Analytics
- Software Only
Funding
Raised to date
$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Founder details are not available yet.
Product
Problem
Companies make product launch decisions—pricing, placement, promotion—without reliably knowing how their market will respond, leading to costly missteps. Traditional market research relies on surveys and past data that fail to capture actual behavioral dynamics or the collective response of diverse consumer groups.
Solution
Studio builds a living society of your market and plays every version of your decision through it, so you commit to the one your customers reward. The platform ingests public chatter, reviews, and press alongside proprietary sales, loyalty, app events, and demographics—all as evidence about groups, never individuals. It models consumers as cohorts named for how they decide, runs each launch version through the same society, and returns KPI forecasts including adoption, trust, repeat, and revenue lift. Simulations are repeatable and auditable, designed to be doubted and verified, giving teams defensible confidence before committing real resources.
Target Audience
Enterprise insight and marketing teams at consumer-facing companies who need to make confident product launch decisions backed by defensible market forecasts.
Features
- Cohort-based market simulation engine that models consumers as groups defined by decision patterns, not demographics
- Multi-version launch testing that plays price, placement, and promotion variations through identical shopper cohorts
- 95% forecast accuracy demonstrated across 200 million modeled consumers
- Behavioral measurement based on simulated actions (buying, returning, leaving) rather than survey responses
- Repeatable simulation runs that produce identical results for auditability and defensibility
- Signal intake from public sources (chatter, reviews, press) combined with proprietary company data
- Privacy-preserving design that treats all evidence as group-level signals, never person-level