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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.

Shiboleth automates consumer lending compliance for financial institutions using AI. Banks and fintechs use us to save months of manual work by automating audits and drafting reports for the governments. LLMs allow whole categories of manual compliance processes to be automated in ways that weren’t possible until recently. We are excited to automate back-office operations and enhance consumer protection in one of the most litigious industries.