Studio

Studio is a San Francisco-based simulation lab that builds software models of how populations respond to new products, prices, campaigns and messages. Rather than creating digital twins of individual survey respondents, the company constructs live market models composed of interconnected audience cohorts derived from observed consumer-behavior data, then plays proposed decisions through those models to project outcomes.

The product ingests external evidence such as social conversations, reviews, press and census or public statistics alongside a customer's internal data, including point-of-sale and card spend, loyalty and rewards records, CRM data, and app and site events. The company states that signals are attributed to groups rather than to identified individuals. From these inputs Studio segments a market into cohorts named for purchasing behavior (for example loyal regulars, deal-triggered buyers, price-sensitive switchers, first-week adopters and vocal skeptics) and models the influence flowing between them over multi-week horizons.

Users can test-run a launch, forecast KPIs such as revenue, conversion, adoption and sentiment, attribute results to the cohorts driving them with traceable evidence, compare alternative versions of a decision, and recalibrate the model by comparing forecasts against realized outcomes. Illustrative applications described by the company include a quick-service chain evaluating a combo price increase across markets, a streaming service comparing cancellation-save flows, and a consumer goods brand choosing between spring and fall launch timing.

Founding story

The two founders came to the company from separate lines of behavioral prediction work. Nikita Mullangi, Founder/CEO, built simulation software for understanding and predicting individual decision-making at MIT and previously studied computer science at UC Berkeley. Cameron Malloy, Founder/CTO, built AI agents at private equity firm GI Partners, created agent-based financial contagion models at Nelumbium Capital, and built agent-based society simulations while at UC Berkeley's M.E.T. program in EECS and business administration. They describe converging on a shared observation that while protein folding and financial system shocks can be simulated, no equivalent existed for simulating how a society interacts with a new idea.

Business model

Studio sells simulation software to enterprises, engaging with insight, marketing, product, pricing, innovation, brand and communications teams that face consumer-facing decisions. Prospects are asked to bring an upcoming decision, such as a product launch, pricing plan or campaign, to run through the platform.

Traction

The company reports five enterprise clients and live testing with large consumer brands including Danone and Mila. It cites forecast accuracy figures of over 95% against live KPI outcomes on its website and launch post, and over 97% accuracy for consumer-facing enterprises on its Y Combinator profile. Its models are described as covering 200 million consumers with 300 or more cohorts per society and runs spanning 30 or more weeks.

Latest developments

Studio was listed as an active company in Y Combinator's Summer 2026 batch with a two-person team and a published company launch post describing the simulation engine and early enterprise testing.