AI healthcare startups India are driving the transformation of the country’s healthcare sector, making it smarter and more accessible. From early disease detection to faster, more accurate diagnostics, AI is tackling some of India’s biggest health challenges. But which startups are at the forefront of this change? Which companies are using AI to save lives and improve healthcare, even in remote areas? Here’s a list of 10 AI healthcare startups in India that you might not have heard of!
10. AarogyaAI
Founded: 2019
Founders: Praapti Jayaswal and Avlokita Tiwari
Based in: New Delhi
Problem They’re Solving:
- Drug-Resistant Tuberculosis (DR-TB) is a major health crisis, especially in India which bears 1/3rd of the world’s TB burden.
- Current diagnostic methods are slow, expensive, and often too late to guide effective treatment.
Solution:
- AarogyaAI’s tool, AAICare, leverages AI + Genomics for a rapid, precise diagnosis of drug-resistant infections.
- This ensures faster detection and tailored treatment, cutting down the guesswork in prescribing antibiotics.
Key Features:
| Feature | How It Helps |
|---|---|
| Microbial Diversity Analysis | Detects multiple pathogens (bacteria, viruses, fungi) for accurate diagnosis. |
| Drug Susceptibility Reports | Identifies which drugs the infection is resistant to, guiding personalized treatment. |
| Infectious Disease Surveillance | Tracks how infections evolve, helping doctors stay ahead of emerging drug-resistant strains. |
How is it helpful?
- Speeds up diagnosis from weeks to hours.
- Prevents the spread of drug-resistant infections.
- Helps doctors plan for future outbreaks by tracking pathogen evolution.
Visit the official website here: AarogyaAI
9. Endimension Technology
Founded: 2018
Founders: Bharadwaj Kss and Apparao MLV
Based in: Mumbai
Problem They’re Solving:
- Radiologists are often overwhelmed with high volumes of medical images (like X-rays, CT scans, MRIs), leading to delayed and sometimes inaccurate diagnoses.
- Access to expert radiologists is limited, especially in rural areas.
Solution:
- Endimension uses AI-powered algorithms to assist radiologists by quickly analyzing medical images, identifying abnormalities, and providing fast, accurate insights.
- Their AI acts as a “second pair of eyes” for doctors, ensuring no detail is missed.
Key Features:
| Feature | How It Helps |
|---|---|
| AI-Powered Image Analysis | Detects abnormalities like tumors, fractures, and other diseases with high precision. |
| Fast Results | Speeds up diagnosis time, helping doctors make quicker treatment decisions. |
| Remote Access | Enables doctors in rural areas to access advanced diagnostic tools without needing an in-house radiologist. |
How is it helpful?
- Increases diagnostic accuracy, reducing the chance of missed conditions.
- Shortens waiting times for patients, improving overall healthcare outcomes.
- Expands access to specialized radiology even in underserved areas.
Visit the official website here: Endimension Technology
8. Dozee
Founded: 2015
Founders: Mudit Dandwate and Gaurav Parchani
Based in: Bengaluru
Problem They’re Solving:
- Hospitals often struggle with limited staff to monitor patients 24/7, especially in ICUs and for chronically ill or elderly patients at home.
- Traditional monitoring devices are uncomfortable, intrusive, and expensive.
Solution:
- Dozee is one of the leading AI healthcare startups of India that offers a contactless health monitoring system that tracks vital signs like heart rate, respiration, and sleep patterns using a sensor placed under the mattress.
- Their AI-powered platform provides real-time alerts for early detection of health issues, enabling doctors and caregivers to take quick action.
Key Features:
| Feature | How It Helps |
|---|---|
| Contactless Monitoring | No wires or discomfort – sensor sits under the mattress for seamless patient tracking. |
| AI-Driven Alerts | Detects abnormal vital signs and alerts healthcare providers instantly. |
| Early Detection of Issues | Helps catch potential health complications before they escalate, improving outcomes. |
How is it helpful?
- Enables 24/7 patient monitoring without the need for constant manual checks.
- Ideal for ICU patients, elderly care, and at-home monitoring.
- Reduces hospital visits and ensures early interventions, lowering the risk of emergencies.
Visit the official website here: Dozee
7. Predible Health (nference)
Founded: 2016
Founders: Murali Aravamudan and Venky Soundararajan
Based in: Bengaluru
Problem They’re Solving:
- Healthcare data is mostly unstructured and hard to use for actionable insights. This makes it difficult for doctors and researchers to harness the full potential of patient information for better diagnosis and treatment.
Solution:
- Predible Health (now part of nference) converts messy, unstructured medical data into structured, usable information through advanced AI and data processing techniques. They help hospitals and researchers unlock valuable insights from electronic medical records (EMR) to tackle healthcare’s biggest challenges.
Key Features:
| Feature | How It Helps |
|---|---|
| Deidentification | Protects patient privacy by ensuring sensitive data never leaves healthcare centers. |
| Data Creation (Pathology & Sequencing) | Digitizes physical pathology slides and performs comprehensive genetic sequencing to aid AI-based disease detection. |
| Augmented Curation | Transforms messy, unstructured clinical notes into structured data for easier analysis. |
| Data Harmonization | Unifies inconsistent medical data into standardized formats for reliable use in downstream AI models. |
| Triangulation of Data | Combines EMR data with public databases (clinical trials, biomedical literature) for deeper insights. |
| Secure Compute Solutions | Provides high-performance, secure data storage for healthcare data processing. |
How is it helpful?
- Improves early disease detection using AI.
- Enables personalized treatments by generating rich insights from previously untapped data.
- Ensures patient privacy while extracting valuable clinical insights from sensitive data.
Visit the official website here: nference
6. Synapsica
Founded: 2018
Founders: Meenakshi Singh, Dr Cherian and Kuldeep Singh Chauhan
Based in: New Delhi
Problem They’re Solving:
- Radiologists face overwhelming workloads due to the growing demand for medical imaging.
- This often leads to delays, reporting errors, and less time for detailed analysis.
Solution:
- Synapsica uses AI-powered tools to automate repetitive tasks in spine radiology, speeding up the process and improving accuracy.
- Their AI assistant, Spindle, helps radiologists analyze spine MRIs and X-rays, generating highly detailed, evidence-based reports.
Key Features:
| Feature | How It Helps |
|---|---|
| AI-Driven Spine Reporting | Automates report generation with accurate measurements of spine conditions. |
| Predictive Analytics | Flags early signs of spine degeneration, enabling proactive diagnosis. |
| Platform Independent | Works across different platforms with seamless integration or cloud support. |
| Quantitative & Qualitative Insights | Provides both visual and data-driven reports, aiding more confident decision-making. |
| High Accuracy | Delivers up to 99% accuracy in spine assessments, reducing errors. |
How is it helpful?
- Faster reporting: AI reduces time spent on repetitive tasks, allowing radiologists to focus on complex cases.
- Improves diagnosis: Early detection of spine issues ensures timely treatment.
- Accessible: Works across different platforms and can be used even in areas with fewer radiologists.
Visit the official website here: Synapsica
5. Niramai
Founded: 2016
Founders: Geetha Manjunath and Nidhi Mathur
Based in: Bengaluru
Problem They’re Solving:
- Breast cancer is the leading cause of cancer deaths among women in India.
- Traditional screening methods like mammography are expensive, uncomfortable, and often unavailable in remote areas.
Solution:
- Niramai’s technology uses AI-powered thermal imaging to detect early-stage breast cancer.
- This method is radiation-free, non-invasive, and affordable, making screening accessible to more women, especially in underserved regions.
Key Features:
| Feature | How It Helps |
|---|---|
| Thermal Imaging | Uses heat mapping to detect cancer without radiation or physical discomfort. |
| AI-Powered Analysis | AI algorithms identify cancerous patterns that may not be visible in traditional scans. |
| Portable & Affordable | Can be deployed in rural areas, making breast cancer screening accessible and cost-effective. |
How is it helpful?
- Detects cancer at an early stage when treatment is more effective.
- Provides a safer, more comfortable screening option for women.
- Increases access to breast cancer screening, especially in low-resource settings.
Visit the official website here: AarogyaAI
4. Artelus
Founded: 2015
Founders: Pradeep Walia, Raja Rajeshwari and Lalit Pant
Based in: Bengaluru
Problem They’re Solving:
- Diabetic Retinopathy is a leading cause of blindness, particularly in diabetic patients.
- The lack of early detection leads to preventable vision loss, especially in regions with limited access to eye specialists.
Solution:
- Artelus has developed an AI-powered screening tool that quickly and accurately detects diabetic retinopathy from eye scans.
- This tool enables early detection, making it possible to treat the condition before vision is lost.
Key Features:
| Feature | How It Helps |
|---|---|
| AI-Driven Retinal Scan Analysis | Analyzes eye images to detect diabetic retinopathy in its earliest stages. |
| Rapid Screening | Provides fast, accurate results without the need for a specialist on-site. |
| Accessible in Low-Resource Areas | Can be used in remote or underserved locations, where eye care is hard to find. |
How is it helpful?
- Prevents blindness by catching the disease early.
- Affordable and scalable, making it ideal for mass screenings in hospitals or rural clinics.
- Reduces dependency on specialists, allowing broader access to care.
Visit the official website here: Artelus
3. SigTuple
Founded: 2015
Founders: Tathagato Rai Dastidar, Apurv Anand, and Rohit Mishra
Based in: Bengaluru
Problem They’re Solving:
- Manual diagnostics like blood smear analysis and pathology tests are time-consuming, labor-intensive, and prone to human error.
- There is a shortage of skilled pathologists, leading to delays in diagnosis, especially in smaller hospitals or remote areas.
Solution:
- SigTuple’s platform uses AI and computer vision to automate the analysis of medical data (e.g., blood smears, urine samples, X-rays).
- Their AI-powered tools quickly process samples and generate automated reports, reducing the burden on human pathologists.
Key Features:
| Feature | How It Helps |
|---|---|
| AI-Powered Blood Cell Analysis | Automatically detects and classifies blood cells, speeding up blood test results. |
| Urine and X-ray Analysis | Scans and interprets other medical data, offering more accurate diagnostics. |
| Automated Reporting | Generates ready-to-use medical reports, saving time for doctors and pathologists. |
How is it helpful?
- Faster results mean quicker treatment decisions for patients.
- Helps hospitals in remote areas or smaller labs handle more diagnostics with fewer pathologists.
- Reduces human error, making diagnostics more reliable and consistent.
Visit the official website here: SigTuple
2. Tricog Health
Founded: 2014
Founders: Dr. Charit Bhograj, Dr. Zainul Charbiwala and Dr. Udayan Dasgupta
Based in: Bengaluru
Problem They’re Solving:
- Heart attacks need immediate diagnosis and treatment, but many patients in remote areas don’t have access to timely cardiac care.
- Delay in diagnosing heart conditions often leads to fatal outcomes.
Solution:
- Tricog Health’s AI platform, InstaECG, provides real-time interpretation of ECGs (electrocardiograms), enabling instant diagnosis of heart attacks even in remote clinics without cardiologists.
- This allows healthcare providers to make quick, life-saving decisions.
Key Features:
| Feature | How It Helps |
|---|---|
| Instant ECG Analysis | Provides real-time, AI-driven interpretation of ECGs within minutes. |
| Remote Diagnosis | Connects rural or small clinics to top cardiologists, closing the access gap. |
| 24/7 AI Assistance | Continuous AI monitoring ensures patients get timely diagnosis around the clock. |
How is it helpful?
- Saves lives by enabling faster treatment for heart attack patients.
- Brings expert care to rural or under-served areas without access to specialists.
- Reduces the risk of fatal outcomes through instant, reliable ECG analysis.
Visit the official website here: Tricog Health
1. Qure.ai
Founded: 2016
Founders: Prashant Warier
Based in: Mumbai
Problem They’re Solving:
- Access to timely and accurate radiology diagnostics is limited, especially in underserved areas.
- Radiologists are overburdened, leading to delays in diagnosing critical conditions like tuberculosis, lung diseases, strokes, and head injuries.
Solution:
- Qure.ai’s AI-powered tools, like qXR and qER, analyze X-rays and CT scans to detect various diseases in seconds.
- Their AI solutions help doctors quickly identify life-threatening conditions, even in places with limited access to expert radiologists.
Key Features:
| Feature | How It Helps |
|---|---|
| Chest X-ray Analysis (qXR) | Detects TB, pneumonia, and lung cancer, offering quick diagnosis in remote areas. |
| Automated Reports | Generates radiology reports instantly, speeding up patient care. |
How is it helpful?
- Reduces diagnostic time from days to seconds, critical for emergency cases.
- Helps in areas with few radiologists, improving access to high-quality healthcare.
- Enables early detection of diseases, potentially saving lives by ensuring faster treatments.
Visit the official website here: Qure.ai
So, how do you think AI startups will shape the future of healthcare in India? Also, which of these startups do you find most groundbreaking? Share in the comment section below!