Top 10 Indian AI Companies in Preventive Healthcare and Early Disease Detection – From AI-powered cancer screening and medical imaging to cardiac monitoring, retinal screening and predictive health assessment, these Indian AI healthcare companies are helping move medicine from treating disease after symptoms appear to detecting health risks earlier.
Healthcare has traditionally been associated with treating illness after a patient develops symptoms. Artificial intelligence is beginning to change that model. Today, AI in healthcare is being used to analyse medical images, monitor vital signs, identify abnormal patterns, support screening programmes and help healthcare professionals detect potential disease earlier.
The growing Indian healthcare AI ecosystem now includes companies working across preventive healthcare, early disease detection, AI diagnostics, medical imaging, remote patient monitoring, cardiac screening, cancer screening, retinal screening and personalised health assessment.
This HealthViews listicle looks at 10 Indian AI companies in preventive healthcare, early disease detection companies and healthcare technology innovators working in these areas.
Top 10 AI Companies in Preventive Healthcare and Early Disease Detection
1. Qure.ai
Focus: AI medical imaging | Early disease detection | Public health | Cancer | Tuberculosis | Neurological conditions
When discussing AI companies in preventive healthcare and early disease detection in India, Qure.ai is one of the most significant names to examine.
The Mumbai-based healthcare AI company develops artificial intelligence solutions for medical imaging and clinical workflows.
Its technology is being used across areas including tuberculosis screening, lung cancer and neurological conditions. Qure.ai says its AI solutions are deployed across more than 105 countries and 5,500+ sites, with more than 45 million lives impacted to date.
In February 2026, Qure.ai published an India-focused report describing how its AI was being incorporated into public-health programmes involving tuberculosis, lung cancer and acute neurological conditions. The company highlighted applications in screening, detection, triage and follow-up.
This makes Qure.ai particularly relevant to the shift toward population-scale preventive healthcare and earlier diagnosis.
Key AI healthcare applications
- Medical imaging
- Chest X-ray analysis
- Tuberculosis screening
- Lung cancer detection
- Neurological imaging
- Stroke-related applications
- Disease surveillance
- Population health screening
Why it stands out: Its focus extends beyond individual diagnosis into large-scale screening and public-health programmes.
2. Niramai Health Analytix
Focus: AI breast cancer screening | Thermal imaging | Women’s health | Early detection
Niramai Health Analytix is an Indian deep-tech healthcare company focused on AI-powered breast health screening.
Its Thermalytix technology combines thermal imaging with artificial intelligence to identify patterns associated with breast abnormalities.
The company describes its approach as contact-free and radiation-free, with AI-based risk stratification designed to help identify women who may require further diagnostic imaging. Niramai currently says its screening is available at more than 200 locations across 30 Indian cities.
Niramai is particularly relevant to preventive healthcare because its technology is designed around screening and early identification, rather than waiting for advanced symptoms.
The company also reports that its technology has undergone clinical validation and has been used to screen hundreds of thousands of women.
Key AI healthcare applications
- Breast health screening
- Breast abnormality detection
- Thermal imaging
- Artificial intelligence
- Women’s preventive healthcare
- Community screening
Why it stands out: It demonstrates how AI can be combined with portable imaging technology to expand access to screening.
3. Tricog Health
Focus: AI cardiac diagnostics | ECG | Remote monitoring | Early cardiovascular risk detection
Cardiovascular disease is another area where earlier detection can make an important difference.
Tricog Health is an Indian healthcare technology company focused on cardiac diagnostics, including AI-assisted ECG and connected cardiac-care solutions.
The company’s technology has been used to support rapid cardiac assessment and remote interpretation.
In 2025, Tricog and Omron Healthcare announced KeeboHealth, a connected cardiac-care platform combining home monitoring, real-time data analytics and Tricog’s AI engine. The system was designed to continuously monitor cardiac information, identify warning signs and alert medical teams when intervention may be required.
This places Tricog within the emerging category of AI-powered preventive cardiac healthcare, where continuous monitoring can potentially identify deterioration before a medical emergency.
Key AI healthcare applications
- ECG analysis
- Cardiac diagnostics
- Remote cardiac monitoring
- Cardiovascular risk monitoring
- AI-assisted clinical interpretation
- Connected healthcare
Why it stands out: It demonstrates how AI can move cardiac care beyond episodic testing toward continuous monitoring.
4. Dozee
Focus: AI remote patient monitoring | Contactless monitoring | Early warning systems
Dozee approaches preventive and early-detection healthcare from another direction: continuous monitoring.
The Bengaluru-based company develops contactless remote patient monitoring technology. Its system uses ballistocardiography-based sensing, artificial intelligence algorithms and remote monitoring software to capture and analyse physiological signals.
Dozee says its technology is deployed across more than 200 hospitals and has generated more than 15,500 life-saving alerts.
The importance of this model lies in the ability to continuously monitor patients rather than relying only on occasional manual observations.
AI-enabled monitoring can help healthcare teams identify changes in vital signs and potentially recognise deterioration earlier.
Key AI healthcare applications
- Remote patient monitoring
- Contactless vital monitoring
- AI-based physiological analysis
- Early warning systems
- Hospital monitoring
- Home health monitoring
Why it stands out: It brings AI into continuous health monitoring rather than limiting it to diagnostic scans.
5. Cent
Focus: AI-led preventive healthcare | Early disease detection | Cancer | Cardiac and metabolic health
Cent is one of the newer Indian health-tech companies specifically positioning itself around early disease detection and preventive healthcare.
The Bengaluru-based startup was founded by Practo founder Shashank ND along with Arpit Garg and Anshul Khandelwal.
In 2026, Cent raised funding to build an AI-led early disease detection platform. The company has said its focus is on identifying potentially life-threatening conditions including cancer and cardiac and metabolic conditions at an earlier stage.
Cent subsequently launched a dedicated clinical prevention centre in Bengaluru designed around AI-driven early disease detection for asymptomatic individuals.
That makes Cent particularly interesting for the emerging AI preventive healthcare segment.
Key AI healthcare applications
- Preventive health screening
- Early disease detection
- Cancer risk assessment
- Cardiac health
- Metabolic health
- AI-driven health assessment
Why it stands out: Unlike AI companies focused on one diagnostic modality, Cent is building its proposition around preventive health and detecting serious disease before symptoms become obvious.
6. Artelus
Focus: AI retinal screening | Diabetic retinopathy | Glaucoma | Early eye disease detection
Artelus is working in one of the most important areas of preventive healthcare: screening for diseases that can cause irreversible complications when detected late.
Its AI-enabled retinal screening technology analyses fundus and OCT images for conditions including diabetic retinopathy and glaucoma.
A 2026 India AI impact-startup compendium describes Artelus’ DRISTi platform as using deep-learning models to classify retinal disease and support screening. The same source reports multicentric Indian validation involving more than 10,000 fundus images from over 5,000 patients.
The technology is designed for point-of-care screening, including settings where specialist access may be limited.
Key AI healthcare applications
- Diabetic retinopathy screening
- Glaucoma screening
- Retinal imaging
- Fundus analysis
- OCT analysis
- AI-assisted ophthalmology
Why it stands out: AI-based retinal screening can help bring specialist-supported screening closer to primary-care and community settings.
7. 5C Network
Focus: AI radiology | Medical imaging | Early detection | Diagnostic workflow
5C Network operates at the intersection of AI, radiology and diagnostic healthcare.
The Bengaluru-based company describes itself as an AI-native radiology platform combining multimodal AI with human clinical expertise.
Its platform uses AI across different stages of the radiology workflow, including detection, reporting and quality processes. The company says its network processes more than 15,000 scans a day across more than 2,000 hospitals and diagnostic centres in 300+ Indian cities, with final reports signed by specialist radiologists.
This is important because early disease detection frequently depends on the speed and quality with which medical imaging is interpreted.
Key AI healthcare applications
- AI radiology
- X-ray analysis
- CT imaging
- MRI
- Mammography
- Diagnostic workflow
- Radiologist support
Why it stands out: Its model illustrates how AI can become part of the complete diagnostic workflow rather than functioning only as an isolated detection tool.
8. Anself Dynamics
Focus: AI eye screening | Diabetic retinopathy | Glaucoma | Portable medical imaging
Anself Dynamics is an emerging Indian medtech company working on AI-powered medical imaging solutions.
Its Ocellux platform combines a portable smartphone-based fundus camera with AI-driven analysis to support early detection of diabetic retinopathy, glaucoma and other retinal conditions.
The Atal Innovation Mission’s AI-Preneurs of India compendium describes Ocellux as a portable AI-enabled fundus imaging solution designed to make early diabetic-eye-disease screening more accessible, particularly in underserved regions.
The company is also developing Thermalook, a thermal-imaging solution aimed at additional cancer-screening applications.
Key AI healthcare applications
- Diabetic retinopathy screening
- Glaucoma screening
- Retinal imaging
- Portable diagnostics
- AI medical imaging
- Community healthcare
Why it stands out: Its portable approach addresses one of preventive healthcare’s biggest challenges—bringing screening technology to locations where specialist infrastructure may not be readily available.
9. Aarca Research
Focus: AI vascular screening | Cardiovascular risk | Preventive diagnostics
Aarca Research is working on the intersection of AI, sensor-based screening and preventive vascular health.
Its Peripheral Vascular Health programme uses sensor-based measurements and AI to identify early signs of vascular dysfunction.
NITI Aayog’s Frontier Tech platform describes the company’s approach as a non-invasive screening protocol designed to identify early vascular dysfunction and enable earlier intervention, particularly in the context of India’s growing burden of diabetes and cardiovascular disease.
The company’s work represents an important evolution in preventive medicine: looking for early physiological changes that may indicate future health risks.
Key AI healthcare applications
- Vascular health screening
- Cardiovascular risk assessment
- Sensor-based diagnostics
- AI-assisted preventive screening
- Diabetes-related vascular risk
- Early risk identification
Why it stands out: It focuses on detecting potential vascular problems before they progress to serious complications.
10. Mobilab
Focus: Portable AI diagnostics | Early disease detection | Accessible healthcare
Mobilab is developing portable diagnostic technologies aimed at making healthcare testing more accessible, particularly in underserved settings.
The company says its mission is to promote early disease detection through portable diagnostic solutions and reports that its technologies have undergone real-world validation and development with institutions including AIIMS and GNRC.
Its work fits into an important area of preventive healthcare: bringing diagnostic capabilities closer to the patient rather than requiring every patient to travel to a major hospital or diagnostic centre.
Key AI healthcare applications
- Portable diagnostics
- AI-enabled healthcare
- Early disease detection
- Point-of-care testing
- Rural healthcare
- Accessible diagnostics
Why it stands out: Preventive healthcare only works when people can actually access screening and diagnostic services.
How HealthViews Evaluated These Companies
This list is intended to identify healthcare AI companies and innovators with a meaningful connection to preventive healthcare or early disease detection.
Our editorial criteria include:
Healthcare relevance
The company should work on a genuine healthcare, medical, diagnostic or health-tech problem.
AI or advanced technology component
Artificial intelligence, machine learning, computer vision, predictive analytics or related technology should play a meaningful role in its solution.
Preventive or early-detection relevance
The technology should have a connection to screening, early detection, risk identification, monitoring, prevention or earlier intervention.
Evidence of activity
Publicly available evidence such as product information, deployments, partnerships, validation studies, government programmes or credible industry coverage was considered.
Indian relevance
Companies were selected because they are India-based, India-origin or have a meaningful healthcare-technology presence in the Indian ecosystem.
HealthViews does not rank these companies according to clinical superiority. Inclusion does not constitute medical, regulatory, investment or clinical endorsement.
The Future: From Reactive Healthcare to Predictive Healthcare
The most important promise of healthcare AI may not be replacing doctors or automating hospitals.
It may be helping healthcare become more proactive.
Instead of waiting for a patient to develop severe symptoms, AI-enabled screening and monitoring technologies could help identify warning signs earlier.
Instead of asking only:
“How do we treat this disease?”
healthcare systems can increasingly ask:
“Can we identify this risk earlier?”
That shift—from reactive healthcare toward preventive, predictive and personalised healthcare—could become one of the most important developments in India’s healthcare technology ecosystem.
And the companies working on early detection today could play a significant role in shaping that future.
HealthViews India will continue tracking the Indian AI healthcare ecosystem as new technologies, companies and clinical applications emerge.
Editorial note: This 10 Indian AI Companies in Preventive Healthcare and Early Disease Detection is an independently curated editorial list, not a clinical endorsement or ranking based solely on company size, funding or valuation. Companies were considered based on their healthcare application, AI/technology component, relevance to preventive healthcare or early detection, evidence of development or deployment, and publicly available information. AI-based tools are intended to support healthcare professionals and should not be considered a substitute for medical evaluation.
