Nayya vs Adept AI

About

Nayya is a New York-based AI-powered benefits platform that uses data science and machine learning to help employees make smarter benefits decisions during enrollment and navigate their benefits more effectively throughout the year. Founded in 2019, the company has raised $55M from investors including Felicis Ventures, Gradient Ventures (Google's AI fund), and Guardian Life Insurance. Nayya's core product, Choose, analyzes each employee's demographic profile, family situation, health history signals, and financial circumstances to generate personalized plan recommendations during open enrollment—moving beyond the generic cost calculators most employees encounter and toward actuarial-quality guidance delivered in plain language.\n\nBeyond enrollment, Nayya's Use product helps employees activate and get value from their benefits year-round by surfacing relevant benefit reminders, spending account nudges, and care navigation guidance through an AI assistant. When an employee has an upcoming medical procedure, Nayya can proactively surface their relevant coverage details, estimate out-of-pocket costs, and suggest using FSA or HSA funds to reduce cash outlay. This year-round engagement model is central to Nayya's proposition that the moment of enrollment is only the beginning of benefits value creation—ongoing guidance is where underutilized benefits get converted into actual employee financial protection.\n\nNayya distributes its platform through insurance carriers, benefits brokers, and direct enterprise HR sales channels, embedding its AI guidance layer into existing enrollment and benefits administration workflows rather than requiring employers to replace their current systems. This integration-first approach has helped Nayya build partnerships with major carriers and HR platforms, accelerating distribution at scale. The company competes with Benefitfocus's analytics products, Businessolver's Sofia AI, and emerging benefits AI startups, differentiating on the sophistication of its predictive models and the quality of its year-round engagement experience.