Dozee vs Regard AI

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

Regard AI has raised more in total funding at $30M, compared to Dozee's $20M — a gap of $10M.

Dozee holds the higher Awaira Score at 60/100, compared to Regard AI's 55/100. 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. Regard AI's founder information is not currently available in our database.

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. Regard AI: Regard AI builds an AI clinical documentation assistant that integrates with hospital electronic health record systems to automatically identify potential diagnoses, surface relevant clinical evidence from patient records, and generate structured documentation for physician review. The system is designed to reduce the documentation burden on hospitalists and clinical teams while improving diagnostic completeness and coding accuracy.\n\nThe company raised approximately 30 million USD and has deployed across hospital systems focused on reducing physician administrative load, a problem that contributes to clinician burnout and documentation errors with downstream billing and quality implications. Regard operates as a background analysis layer that surfaces findings without requiring clinicians to change their existing EHR workflow.\n\nClinical documentation AI sits at the intersection of physician workflow optimization and revenue cycle management, giving it a dual value proposition that justifies enterprise procurement from both clinical operations and hospital finance departments. Regard competes with Nuance DAX, Abridge, and other ambient documentation tools, but its focus on diagnostic suggestion and coding completeness rather than pure transcription differentiates its clinical and financial value story.

Dozee was founded first in 2015, giving it 2 years of additional market experience. Regard AI was founded later in 2017. 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 Regard 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 Regard 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.