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We’re building a research lab that puts its ideas to the test in one of the most complex, information-rich environments in the world: the financial markets. Much of trading still depends on hand-crafted signals and intuition. We’re approaching it differently - from first principles. We design systems that learn, adapt, and improve with data. Our infrastructure is built to accelerate research: fast iteration loops, real-time feedback, and direct connection between ideas and outcomes. We’re starting with liquid markets like equities and options - high-dimensional, dynamic systems where traditional pipelines break down. Our goal isn’t just to model them better - it’s to build a platform for experimentation, where every result tightens the loop between theory and practice. If you care about learning systems, clean abstractions, and applying research in the wild - we’re hiring.

1. You explain your problem. 2. Kater identifies the most important data questions to ask. 3. Kater writes the code. 4. You get insights in seconds rather than weeks. Kater.ai flips the script on enterprise analytics by making every user an expert analyst. It uses a continuous classification engine to turn a single business question into a contextualized package of questions that is specific to your needs. Kater puts the power of data into the hands of business experts while ensuring they use trusted data that is specific to their persona. No more waiting for data analysts. No more wasted time on analysis misfires and rework. Yvonne was a data engineer and analyst who built the entire data stack at CREXi. Robin led engineering in Microsoft. Data is the new oil. Companies are data-rich, insight-poor. We're helping companies become insight-rich. This is the future of data.