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Featurely helps product, design, and research teams model human behavior to create more impactful, user-centered experiences.
Featurely uses synthetic user testing grounded in behavioral science to reflect how people actually think, decide, and respond. Instead of relying on assumptions or surface metrics, you get high-fidelity insights modeled on real human behavior—enabling smarter decisions from the start.
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Designed with a human-first mindset, Featurely integrates naturally into the tools teams already use—like Figma, Slack, or V0. Insights are accessible to anyone, regardless of role or technical background, making adoption fluid across individuals, teams, and entire organizations.
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Featurely is not just a new idea—it’s a tested one. From SaaS and fintech to education and healthcare, teams across industries use Featurely to improve real outcomes. With continuous product evolution and measurable results, it’s built for today’s complexity and tomorrow’s scale.
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[Use Cases]
[ USE CASES ]
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[ RESULTS ]
Featurely is built for measurable impact—enabling faster decisions, deeper insight, and greater clarity across real-world product and research workflows.
“Featurely helped us cut feature launch timelines from weeks to days while raising client satisfaction above 80%, something we never achieved with traditional research.”
“By embedding Featurely into our workflows, we validated features in hours instead of weeks and elevated product quality without adding headcount.”
"Featurely gave us the confidence to prove product-market fit and sharpen our differentiation in a crowded space, turning investor skepticism into trust backed by real behavioral data.”
reduction in research time
increase in scenario coverage
user satisfaction
[ Results ]
Featurely is built for measurable impact—enabling faster decisions, deeper insight, and greater clarity across real-world product and research workflows.
“Featurely helped us cut feature launch timelines from weeks to days while raising client satisfaction above 80%, something we never achieved with traditional research.”
“By embedding Featurely into our workflows, we validated features in hours instead of weeks and elevated product quality without adding headcount.”
"Featurely gave us the confidence to prove product-market fit and sharpen our differentiation in a crowded space, turning investor skepticism into trust backed by real behavioral data.”
reduction in research time
increase in scenario coverage
user satisfaction
“Featurely helped us cut feature launch timelines from weeks to days while raising client satisfaction above 80%, something we never achieved with traditional research.”
“By embedding Featurely into our workflows, we validated features in hours instead of weeks and elevated product quality without adding headcount.”
"Featurely gave us the confidence to prove product-market fit and sharpen our differentiation in a crowded space, turning investor skepticism into trust backed by real behavioral data.”
reduction in research time
increase in scenario coverage
user satisfaction
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Featurely combines cognitive science, behavioral data, and decision modeling to replicate how real users process, interpret, and react during simulated product experiences.
[ 1 ]
Featurely embeds core principles of human cognition to simulate how people perceive and decide.
[ 2 ]
We trained our system on rich, high-quality behavioral datasets to mirror real-world variability.
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[ 3 ]
Featurely reconstructs how users process choices—mapping intent, friction, and follow-through.
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Featurely combines cognitive science, behavioral data, and decision modeling to replicate how real users process, interpret, and react during simulated product experiences.
[ 1 ]
Featurely embeds core principles of human cognition to simulate how people perceive and decide.
[ 2 ]
We trained our system on rich, high-quality behavioral datasets to mirror real-world variability.
[ 3 ]
Featurely reconstructs how users process choices—mapping intent, friction, and follow-through.
We designed Featurely with strict privacy safeguards, ethical data sourcing, and transparent system behavior—ensuring your insights are powerful, responsible, and secure by default.
[ ABOUT US ]
Vasanth has spent 18+ years building and scaling products at Meta, NVIDIA, and most recently Dropbox, where he led company-wide AI initiatives. He launched Dropbox’s AI Center, drove a pivotal partnership with NVIDIA, and led the rollout of its AI-first product, Dash. At Featurely, he defines the vision—replacing lagging research with behavior-first simulation. He was a Ph.D. candidate in Computer Science at USC with a focus on machine learning, and holds an MBA from UC Berkeley (Haas) and an MSEE from USC.
Sowrabh is a systems builder with leadership roles at Google and Microsoft, and multiple founder stints across health, geoscience, and user feedback platforms. He’s scaled infra for global engineering teams and launched products in high-complexity domains—from geospatial AI to social networks. At Featurely, he’s building a platform that simulates human behavior at scale—fast, robust, and real-world ready. He is an engineering graduate from IIT.
Prajit has shaped monetization and growth strategies at Meta, Amazon, and Yahoo!—helping scale some of the world’s largest consumer and enterprise platforms. He’s led teams across product, strategy, and operations to unlock new revenue lines and improve platform efficiency. He now leads monetization, strategy, and operations at Featurely—driving the company’s growth around its core mission: making behavioral simulation central to product and business decision-making. MBA from NUS, GMP from Harvard.
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