Dozee vs Hippocratic AI

Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Dozee employs 50-200 people, while Hippocratic AI has 50-200 employees.

Hippocratic AI has raised more in total funding at $120M, compared to Dozee's $20M — a gap of $100M.

Hippocratic AI holds the higher Awaira Score at 65/100, compared to Dozee's 60/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 5-point gap that reflects meaningful differences in scale or traction.

Dozee was founded by Mudit Dandwate in 2015. Hippocratic AI was founded by Munjal Shah in 2023. Visit each company's profile on Awaira for a full founder biography.

Dozee: Dozee builds a contactless remote patient monitoring system that uses a ballistocardiography sensor placed under a mattress to continuously track heart rate, respiratory rate, blood pressure trends, and sleep quality, transmitting data to an AI analysis platform that generates clinical-grade early warning scores for hospital staff. The system requires no wearables or patient cooperation, enabling continuous monitoring for elderly patients, post-surgical recovery, and ICU step-down units.\n\nThe company raised approximately $20M in Series B funding and has deployed its monitoring systems across hospitals in India and internationally, with evidence of measurable reductions in deterioration events and ICU transfers through early warning. Dozee's central monitoring dashboard allows nursing staff to oversee multiple patients simultaneously with automated deterioration alerts.\n\nContinuous patient monitoring outside of ICU settings is an underserved clinical problem globally, and particularly acute in India where nurse-to-patient ratios in general wards are often insufficient for manual vital sign monitoring. Dozee's contactless approach and AI early warning capability address both the clinical quality and resource efficiency dimensions of this challenge. Hippocratic AI: Hippocratic AI develops a safety-focused AI platform designed to address the global shortage of healthcare professionals by deploying AI agents that perform patient-facing healthcare communication tasks including care navigation, medication adherence outreach, chronic disease monitoring, and post-discharge follow-up. The platform is built around a healthcare-specific large language model with extensive safety evaluation against clinical benchmarks.\n\nThe company raised approximately 120 million USD in early rounds and has established partnerships with health systems and payers focused on reducing care gaps and improving patient engagement at scale. Hippocratic positions its AI as augmenting the healthcare workforce rather than replacing clinicians, targeting the vast volume of lower-acuity patient interactions that do not require physician judgment.\n\nThe healthcare staffing shortage is a structural problem projected to worsen over the next decade, creating durable demand for AI solutions that extend the capacity of existing clinical teams. Hippocratic AI competes with ambient clinical AI companies and general-purpose AI assistant platforms, but its narrow vertical focus on patient-facing healthcare communication and its safety-first design philosophy position it to navigate the regulatory and liability landscape that general AI platforms are less equipped to manage.

Dozee was founded first in 2015, giving it 8 years of additional market experience. Hippocratic AI was founded later in 2023. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

Both Dozee and Hippocratic AI report similar employee counts of approximately 50-200. Team size is often a proxy for operational scale, though lean AI companies can punch well above their headcount.

Yes, Dozee and Hippocratic AI are direct competitors — both operate in the AI Healthcare space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.