Vectorial raises $3 million to simulate customer reactions before products launch

Vectorial wants product teams to test ideas against modeled customers before putting them in front of real people. On October 20, 2026, the company announced a $3 million seed round to expand its behavioral datasets and develop SAPIENS 2.0, backing a platform built to simulate reactions to digital products, marketing campaigns and AI agents.

Building an audience before running the test

The platform’s starting point is a model of a company’s target audience, rather than a fresh group of interview participants for every question. Vectorial says its SAPIENS behavior model learns demographic characteristics, attitudes and behavioral traits to predict how that audience will act.

1. Build the audience: Vectorial says it creates thousands of modeled users grounded in real behavioral data. These models represent the people a business wants to understand, including differences in their characteristics and behavior.
2. Run the experience: Product, design and marketing teams can test a product journey, campaign, brand message or customer-facing AI agent against that audience. The company says the platform supports experiences across web, mobile and AI-native applications.

CEO and co-founder Taranveer Singh frames this as an alternative to two approaches he considers inadequate. AI-moderated interviews still require recruiting participants and waiting for studies, he argues. Simulated users can answer immediately, but he says those without grounding in real behavior data fail to earn customers’ trust. Vectorial’s pitch combines that grounding with simulations inside the product-development workflow.

We continue to invest in our behavior model, but a model alone doesn't solve the problem

Rahul Garg, Vectorial co-founder and chief product officer

The evidence behind the modeled users

Vectorial says it has modeled more than 2.5 million real people and run more than 30,000 simulations. It names customers across healthcare, gaming and e-commerce, including GoodRx, Suki AI and Concrete Software.

Its performance claims cover two different comparisons. Vectorial says SAPIENS predicts behavior 30% more accurately than general-purpose large language models. Separately, it says simulations have reproduced findings from earlier user studies with more than 85% accuracy. Those are company-supplied figures; the announcement does not explain the scoring methods or provide enough study detail to assess how broadly the results apply.

Customer accounts in the announcement describe how the simulations inform decisions. Everkind CTO Supreet Pal Singh says the company uses Vectorial to evaluate AI conversations across different human circumstances before updates reach users. Concrete Software’s David Nixon says its teams test feature and content ideas with modeled players during development and live operations, getting an initial read in minutes rather than days or weeks.

More data, then the next model

The round’s named backers include Smilegate, SenseAI Ventures and Dent Capital, with participation from product leaders at Meta, Shopify and Mastercard. Vectorial plans to use the money for new data partnerships that expand its behavioral datasets and for further development of SAPIENS 2.0. That next model is a funding objective, not a release announced alongside the financing.

The founders’ longer-term bet is that running audience simulations before building or launching a consumer product or agent will become normal within four years. For now, the financing supports their attempt to make a continuously updated model of customers part of everyday product work, rather than commissioning research only at selected milestones.