We create AI replicas of your actual users by analyzing their behavior patterns. These digital twins think, browse, and make decisions just like your real customers.
Upload your designs and your AI customer clones attempt to use your prototypes and predict which will convert better and by how much. A/B tests are so 2020.
Get qualitative answers at quantitative scale. We interview thousands of your AI customer clones to validate ideas and messaging.
Model any pricing change like a 10% increase, a new subscription tier, a holiday discount and instantly see the predicted impact on your revenue and LTV before you go live.
Our AI generates and personalizes UI components for each user segment, automatically creating the highest-converting experience, so that you can move beyond static designs.
Ask your hardest strategic questions. Our AI watches hundreds of session replays, pulls analytics, trusted case studies and simulates outcomes with your AI customer clones to create a fully cited 4 page brief.
Our Radar proactively finds and notifies you about revenue opportunities in your user behavior. It surfaces high-impact alerts your team would otherwise miss.
CEO & Co‑Founder
Liam led Project Mariner at Google Labs, where he helped launch the Gemini 1.5 API and explored new ways to bring generative AI to developers. He's a former Product Manager at Microsoft and Google Maps, and previously founded a VC‑backed startup.
Liam has a computer science background and is a content creator.
CTO & Co‑Founder
David led the Computer Vision team at Wayfair, where he shipped their first AR/VR app and was featured by Apple, and built teams from the ground up.
He's also founded startups in blockchain and web design. David is a Boston College alum, he brings both technical depth and product intuition to everything he builds.
Co‑Founder
█████ is a founder and ML researcher with experience at Databricks and Microsoft. His last company, focused on automating healthcare ops, was acquired by the largest virtual autism care provider in the U.S.
█████ is passionate about building intelligent systems that feel natural, adaptive, and deeply useful.
Founding Engineer
█████ was previously a Senior ML Engineer at Google, where he helped launch Gemini Tool Agents at DeepMind and drove $100M+ in impact through Search Ads models.
█████ also created and taught Brown University's graduate Deep Learning course. █████ brings rare experience at the intersection of frontier AI and scaled real‑world systems.
Founding Engineer
█████ brings robust experience in applied AI from Google and Apple, where █████ contributed to machine learning research and development. █████ also worked as a researcher at Johns Hopkins, developing AI methods for healthcare applications.
█████ combines academic depth with real‑world engineering experience.
Founding Engineer
█████ previously worked on AI engineering at IBM and led multimodal AI ad generation tools as part of an acquihire to Omnicom. █████ holds a degree in Electrical and Computer Engineering from the University of Wisconsin.
█████ brings a unique blend of creative AI and infrastructure experience to the team.
Founding Engineer
█████ has worked across AI research and engineering, from studying how to reduce hallucinations in large language models at UCLA to tackling ML systems at Google X and computer vision and robotics at Nvidia.
█████ brings both deep technical expertise and a strong drive to make AI more reliable and impactful.
Designer in Chief
Has designed products used by billions of people.
The predictions are powered by a deep, real-time understanding of your user behavior. This is the intelligence layer working for you 24/7.
Your data is protected by the highest industry standards.
We automatically detect and redact all sensitive user information before it ever reaches our servers.
