Our mission

Make data work for everyone, not just experts

We believe everyone should be able to use data to answer questions and make better decisions.

We're creating a future where anyone in an organization can explore data, find insights, and share discoveries without advanced technical skills or hours spent on complex analysis. By combining SQL, Python, and AI in one collaborative platform, we don’t just want to help you save time--we want to free you up to tackle the problems that truly matter and drive business growth.

When people spend less time wrestling with data tools, they can focus on solving bigger, more interesting problems that improve our world.
Our guiding principals
Simplicity.
Complex questions should be simple to answer. From the details in our UX to our AI-first approach, data analysis has never felt so easy.
Intelligence.
Complex analysis shouldn't require complex tools – SQL, Python, and AI should work together seamlessly to solve any challenge.
Collaboration.
Data insights belong to everyone, so teams can make better decisions and focus on what truly matters. We believe in meeting your stakeholders where they are.

The team behind the mission

Our team brings together more than two decades of deep expertise in AI and enterprise data, having built and scaled data solutions at companies like Clari, Lyft, and Yahoo. We've experienced the challenges of data analysis from both sides –as builders and users–which drives our mission to create something fundamentally better.
Marc headshot
Marc Dupuis
Co-founder & CEO
Having led analytics and AI teams, Marc experienced firsthand how much time gets wasted on routine data tasks instead of solving meaningful problems.

During his time as an early product manager at Clari, Marc led the platform, analytics, and AI efforts and helped turn the company into the RevOps leader they are today.  Marc holds a degree in electrical engineering and an MSc in neurotechnology, which first sparked his interest in making complex systems more accessible to humans.
Lei Tang
CTO
After years building AI systems, Lei saw the gaps in traditional BI capabilities and  how the advent of generative AI could solve a broken process for enterprise teams.

He's spent over a decade developing large-scale, consumer AI solutions at Yahoo!, Walmart Labs, Lyft, and Clari. This experience gave him first-hand experience in the challenges of building reliable, scalable AI. Lei holds a PhD in Computer Science and Machine Learning, where he focused on creating reliable, production-grade AI systems.

Redefine what's possible with your data.