We help train and evaluate AI to master real-world tasks in finance, healthcare, and legal.
Proudly working with domain experts from
There's no substitute for expertise. Our internal team, comprising healthcare, finance, legal and AI specialists, works directly with AI researchers to scope and deliver every project. Physicians, attorneys, and investment analysts with years of high-stakes experience, supported by a platform built for structured, high-quality data collection at scale. Fast iteration. Real judgment. Data that holds up.
Work with usMedical imaging, financial models, legal contracts. We structure data for training and evaluation with the nuance these domains demand and fit to your requirements."
Explore datasetsWe combine expert knowledge, curated datasets, engineering, and real world tasks to build the best training grounds for agentic AI. Agents complete tasks in finance spreadsheets, medical records, legal documents—with measurable outcomes.
Learn morePhysicians, analysts, and specialists shaping the future of AI.
"After completing my profile, I was matched quickly with a project involving real stock market research. No endless interviews — just a clear offer and fast onboarding."
"I review oncology cases from home to help train AI models that support cancer diagnosis. The flexibility is invaluable — I can schedule this work around my hospital shifts and family life."
"I'm using my background in finance to train AI on real-world deal structures and regulatory details. It's satisfying to see that my nuanced knowledge is helping AI become more reliable."
"I work remotely, annotating complex oncology cases for AI training. The setup is straightforward, the platform is user-friendly, and I don't waste time commuting."
"Within days, I was working on meaningful financial analysis tasks, gaining practical experience while contributing to an AI system used by professionals."
"From my home office, I review oncology cases and label them for AI training. This work lets me stay at the cutting edge of innovation without sacrificing my clinical career."