Dozee vs SigTuple

Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Dozee employs 50-200 people, while SigTuple has 100-500 employees.

SigTuple has raised more in total funding at $20M, compared to Dozee's $20M — a gap of N/A.

Both Dozee and SigTuple share the same Awaira Score of 60/100. The Awaira Score is a composite metric that factors in valuation, total funding raised, company stage, employee count, and market category.

Dozee was founded by Mudit Dandwate in 2015. SigTuple was founded by Rohit Kumar Pandey in 2015. 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. SigTuple: SigTuple develops AI-powered automated pathology solutions that digitize and analyze microscopy slides for blood, urine, sputum, and semen samples, enabling high-throughput diagnostic testing without the constant presence of trained pathologists. The company's AI-Minth platform uses robotic sample preparation, high-resolution imaging, and deep learning analysis to deliver diagnostic-grade results.\n\nThe company raised approximately $20M in Series B funding and has deployed its automated microscopy systems at diagnostic labs, hospitals, and blood banks across India, processing millions of diagnostic samples. SigTuple has received regulatory approvals for its diagnostic AI products and has established partnerships with major diagnostic laboratory chains.\n\nIndia faces a severe shortage of qualified pathologists relative to population, creating an acute need for AI-assisted diagnostic automation. SigTuple's approach of combining hardware, robotics, and AI in an integrated system addresses the complete diagnostic workflow rather than just the software layer, creating higher deployment barriers but also higher switching costs and stronger network effects from accumulated diagnostic data.

Both Dozee and SigTuple were founded in the same year — 2015. Despite sharing a founding year, they may have launched at different times within that year, which can matter in fast-moving AI markets.

Dozee has approximately 50-200 employees, while SigTuple has approximately 100-500. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

Yes, Dozee and SigTuple 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.