Vectorial raises $3m seed to scale AI human behaviour simulation

Vectorial, a San Francisco-based AI startup, has closed a $3 million seed round to expand its human behaviour simulation platform for software product teams. The round was led by Smilegate and SenseAI Ventures, with participation from Berkeley SkyDeck, the Berkeley AI Research Lab, the Stanford Graduate School of Business fund, Dent Capital, and a cohort of individual investors drawn from product leadership at Meta, Shopify and Mastercard.

The company's platform, built around a proprietary behaviour model called SAPIENS, allows product, design and marketing teams to run simulated user studies against modelled audiences before a product reaches live users. Vectorial says SAPIENS learns the socio-demographic, psychographic and behavioural traits of a target customer base and is currently grounded in data from more than 2.5 million real individuals. The company reports that customers are running approximately 600 simulations per month and that simulations reproduce prior real-user study findings with more than 85 per cent accuracy.

What the platform does

Taranveer Singh, co-founder and chief executive, framed the company's thesis around two emerging AI frontiers. "One focuses on reasoning and solving complex problems, while the other focuses on simulations and decoding human behaviour," he said. "Two pieces are missing: the ability to simulate many scenarios, and bringing your users directly into the product building ecosystem."

The company claims SAPIENS outperforms general-purpose large language models in predicting user behaviour by 30 per cent and beats academic benchmarks including Be.FM and Centaur, though these figures are vendor-reported and have not been independently audited. Named enterprise customers include GoodRx, MIDI Health, Suki AI, and gaming studio Concrete Software, whose VP of Data Services said Vectorial allowed teams to test feature ideas against modelled players in minutes rather than days or weeks.

Proceeds from the seed round will fund expansion of Vectorial's behavioural datasets through new data partnerships and the development of SAPIENS 2.0, which the company is positioning as a generative simulation infrastructure layer for product development pipelines.

Market context

Vectorial is entering a growing but crowded field. AI-powered synthetic user research has attracted a range of vendors, from established enterprise survey and analytics platforms adding generative AI layers, to well-funded startups such as Synthetic Users and tools embedded within product analytics suites. The central tension in the category is credibility: synthetic user data is fast and cheap, but enterprise buyers remain sceptical about whether simulated behaviour reflects the messy variance of real users at scale. Vectorial's emphasis on grounding SAPIENS in real behavioural data, rather than relying on LLM-generated personas, is a direct response to that objection.

The broader market for AI-assisted product research is expanding alongside the acceleration in software build cycles, where AI-assisted coding tools have compressed shipping timelines significantly. As build speed increases, the bottleneck shifts to validation, creating a genuine commercial opportunity for simulation-based research tools that can match that pace.

Rahul Agarwalla, managing partner at SenseAI Ventures, articulated the investment thesis plainly: "The competitive advantage is shifting from how fast companies can build to how fast they can find product-market fit." That framing positions Vectorial less as a research tool and more as a strategic infrastructure play, though the company will need to demonstrate retention and expansion within its enterprise accounts to support that narrative as it moves toward a Series A.