LabOps

Founded by an NYU Computer Science alum, LabOps is an AI-powered research compliance platform transforming how universities, hospitals, and life sciences organizations navigate regulatory workflows. Today, researchers spend 10–100+ hours per submission on fragmented systems, manual form-filling, and iterative back-and-forth with compliance teams – delaying critical scientific progress.

LabOps acts as an “AI Compliance Companion,” guiding researchers through IRB, DUA, and related submissions with intelligent questionnaires, automated form population, and recommendations based on federal standards (e.g., 45 CFR 46, HIPAA). Rather than replacing human oversight, LabOps ensures submissions are complete, accurate, and reviewer-ready – reducing delays, minimizing errors, and improving collaboration between researchers and compliance offices.

Built from firsthand experience in academic medical research at institutions like Harvard Medical School and Mass General Brigham, LabOps is designed to integrate into existing workflows while maintaining strict data privacy and security standards.