Client

Maxa is an AI-native analytics platform and Snowflake Native App, used by many Snowflake customers, that delivers self-serve analytics and governed LLM reasoning on structured data. Finance, operations, and executives ask natural language questions and get instant, row-level-verifiable answers with full lineage. Our Trusted Thinking Partner runs over a unified business data model-no fragile semantic layer, no dashboard backlog. We automate extraction, standardization, and time-snapshots, cutting 70-80% of ad-hoc reporting. Industry-agnostic, with deep traction in aerospace & defense, manufacturing, and financial services.

Solution

A comprehensive design system was built to ensure consistency, scalability, and clarity across all applications. I was responsible for the interfaces and interactive prototypes. Additionally, I contributed to the engineering of user flows that made working with verifiable data intuitive and fully under the user's control.

Challenge

Maxa set out to develop a complex interface that prioritised simplicity, transparency, and privacy. Its various applications were designed to deliver verifiable, high-quality data that users could easily inspect, manipulate, and, with flexibility, apply to their own highly varied purposes, while providing clear explanation as to how the data was calculated.