There is a particular kind of exhaustion that comes with being a patient in India.
You block your entire afternoon. You carry a plastic folder stuffed with reports from three different labs, a prescription from six months ago, and a referral letter your last doctor gave you. You wait 90 minutes in a crowded corridor. Then you get five minutes with the physician, who has already seen 70 people before you and will see 30 more after. They start from scratch, asking questions your folder already answers. By the time you leave, you are not sure if the experience helped or just added to the stress of being unwell.
For sisters Shivangi Sharma and Dr. Anushka Sharma, these frustrations were not statistics. They were problems they encountered from opposite sides of the healthcare system.
This is not a failing of doctors. It is a failing of the system around them.
Why Now
Dr. Anushka Sharma understood this from inside the problem. During her medical residency in India's government hospitals, she watched capable, compassionate physicians get buried under administrative overload. Doctors in Indian OPDs routinely see 80 to 100 patients per day, compared to 20 to 30 in most developed countries, according to the Ministry of Health and Family Welfare. The gap is not effort or empathy. It is the weight of a broken operational layer sitting on top of every consultation.
Every night after her shifts, she would call her sister Shivangi. The frustrations were always the same: hours spent manually compiling patient history, chasing lab reports across floors, writing documentation by hand. Clinical time eaten by clerical work. Shivangi would listen, then push back with questions. Could the history-taking be automated? Could AI summarise a patient's records before the doctor walked in? Could the whole intake process be rebuilt from scratch?
At the time, Shivangi was finishing her Master's in Artificial Intelligence at Northwestern University in the United States, studying how technology solves complex real-world systems. The more the sisters talked, the more a shared conviction formed. India's healthtech sector had built aggressively for patients, appointment booking apps, teleconsultation platforms, medicine delivery. It had built for hospital administrators managing billing and operations. But nobody had built seriously for the doctor, the person at the center of every healthcare interaction and the most underserved by technology.
The sisters named that gap MedMitra. They co-founded the company in 2023.
The Market Gap
Before writing a single line of code for the clinic model, the founding team spent months doing something unusual for a technology startup. They went door to door.
Over several months, they sat with more than 250 families across India in living rooms, hospital waiting areas, and small clinics. They did not arrive with a product pitch or a survey form. They arrived with curiosity, and they listened. What came back were not abstract complaints about "the healthcare system." They were specific, personal, often quietly devastating stories.
Elderly couples carrying 20-year-old files from doctor to doctor because no records ever transferred. Patients with chronic conditions forgetting appointments or losing reports and having to repeat expensive diagnostics. Young parents managing a newborn's vaccination schedule through a combination of printouts, phone alarms, and guesswork. People who had learned, without anyone telling them explicitly, that navigating healthcare in India required them to become their own case managers.
One pattern ran through every conversation. The problem was not any single broken touchpoint. Healthcare in India was disconnected at every stage. The clinic did not talk to the lab. The lab did not talk to the pharmacy. Each new doctor started from zero regardless of how much history the patient brought with them. As Shivangi put it in an early pitch: "Any health tech companies that have been built in India have only built mostly for patients and administrations, leaving out the main pillar of healthcare, which is doctors. There's no tool in the market that solves for their speed and efficiency."
The 250-family research process became the product brief.
The Business Model
MedMitra operates on two tightly linked layers.
The first is the AI infrastructure. The platform assists doctors with history taking, diagnosis, treatment planning, and prescription generation. When a patient's data is entered, the AI cross-references their history, lab results, past prescriptions, and clinical notes, and surfaces a structured summary for the physician before the consultation begins. The doctor is not starting from zero. They walk into the conversation with context already loaded, freeing up the consultation for what only a doctor can do: listen, reason, and care.
The second layer is the physical clinic. Rather than building software and licensing it to existing facilities, MedMitra launched its own clinic in C-Scheme, Jaipur, which opened on January 26, 2026. This is where the two layers come together in practice.
The clinic runs on what the company calls the Clinic OS, a proprietary system connecting booking, consultation, diagnostics, pharmacy, billing, and follow-ups into a single loop. The experience is structured around a "10-10-10 Promise": book in under 10 seconds via the website or WhatsApp, see a doctor within 10 minutes of arrival, receive lab reports within 10 hours. The in-house diagnostics facility is NABL-accredited. Once a consultation ends, the prescription is sent directly to the in-house pharmacy, and medicines are packed before the patient reaches the counter. Check-in happens through self-service digital kiosks. No paperwork, no reception queue.
But the model extends well beyond the OPD visit, and this is where MedMitra's longer-term vision becomes clear.
Nearly 42% of Indian adults live with a condition like hypertension, diabetes, or heart disease, according to the ICMR's India State Level Disease Burden Initiative (2022). For these patients, healthcare is not a series of isolated visits. It is a years-long process of tracking history, managing medications, attending follow-ups, and making informed decisions with incomplete information. MedMitra's patient portal stores the full medical record in one place, compliant with India's DPDP Act 2023, and accessible across family members under a single account. A 24/7 AI companion on WhatsApp and the portal sends medication reminders, answers health questions, and flags upcoming tests before the patient needs to think about them.
The founders describe this as a shift from reactive to preventive care. Healthcare in India, like most of the world, is largely organised around crisis. You feel something wrong, you go to the doctor. MedMitra's AI companion is designed to interrupt that pattern, prompting the right checkups at the right life stages before symptoms appear. Healthcare, as the founders see it, should not begin at the point of crisis.
Membership plans are priced at Rs 799 for individuals, Rs 1,499 for couples, and Rs 2,499 for families per year. There is also a VIP Pass tier covering unlimited consultations and tests. Standalone OPD consultations begin at Rs 499.
The vision has already attracted investor interest, with MedMitra raising Rs 3 crore in pre-seed funding in 2025 from investors including All In Capital and WEH Ventures.
Customer Acquisition
MedMitra's early acquisition strategy is built less on advertising and more on demonstrated experience.
The 250-family research process was not just product discovery. It was relationship-building. By the time the Jaipur clinic opened, the founding team had already spent months embedded in the community they were building for. Every product decision, the kiosk check-in, the AI-prepared doctor summaries, the prescription auto-routed to pharmacy, was a direct response to a frustration real families described out loud.
That grounding shapes how MedMitra presents itself. The company does not lead with technology. It leads with the 15-minute clinic visit that used to take half a day.
The WhatsApp AI companion extends the clinic's presence into the everyday lives of patients between visits. For chronic care patients, the relationship with MedMitra does not end when they walk out of the clinic. It continues through reminders, guidance, and a medical record that updates automatically after every interaction.
According to the founders, MedMitra had crossed 100 users, including 40 paying customers, during its early growth phase.
Risks and Challenges
Building a physical clinic network is a fundamentally different challenge from building software. Each new location requires local infrastructure, a vetted panel of doctors, lab partnerships, pharmacy licensing, and staffing. Scaling the Clinic OS into new cities means replicating an operational model, not just deploying an app update. The website currently describes the Jaipur location as open with expansion plans underway, but the timeline and geography of that growth has not been made public.
Patient trust is the other variable. For a segment of patients, particularly older demographics accustomed to familiar family doctors, an AI-integrated clinic will require consistent proof of quality over time. One good visit builds confidence. One bad experience, where the technology failed or the doctor seemed unfamiliar with their history, can undo it. The margin for error in healthcare is narrow in a way it is not in most other industries.
The regulatory environment around AI in clinical settings is also still evolving. MedMitra's stated position is that AI assists and doctors decide, with every AI output verified by a physician before acting on it. That framing is sound for now. But as the product deepens into diagnostic support and treatment suggestions, the regulatory scrutiny will demand increasingly precise answers about accountability.
TEP Take
The most interesting thing about MedMitra is not the AI. It is the conviction behind the business structure.
Most healthtech startups pick a lane. Appointment booking. Teleconsultation. Health records storage. MedMitra looked at those lanes and concluded that picking one was the wrong move, because the patient's problem is not any single touchpoint. It is the absence of anything connecting them.
So they built the connective tissue. The Clinic OS is not a product in the usual sense. It is an operating system for a healthcare encounter, from the moment a patient books to the moment their report syncs to their family account. The physical clinic is the environment where that system gets stress-tested daily against real patients, real doctors, and real outcomes. And the AI companion is the thread that keeps the relationship alive between visits, nudging the model from reactive care toward something more preventive.
Dr. Anushka leads clinical operations and quality control, ensuring that what the AI produces is medically sound before it reaches a physician. Shivangi leads the technology. The founding structure is not cosmetic. This company requires both of those capabilities to be genuinely strong, not just present on a pitch deck.
MedMitra raised Rs 3 crore in pre-seed funding in early 2025, co-led by All In Capital and WEH Ventures, with participation from angel investors including Rohan Khandelwal, Pawan Gupta, and Venkat Subramanyam. (Source: eHealth Magazine, February 2025; Tracxn) Rohit Krishna of WEH Ventures noted that when his team spoke with doctors in Jaipur already using MedMitra, both the enthusiasm and the willingness to pay were evident. In healthcare software, physician adoption is historically the hardest thing to earn. That it showed up this early matters.
If MedMitra succeeds, its biggest achievement won't be building another healthcare app. It will be proving that better healthcare doesn't always require more doctors, more hospitals, or more infrastructure. Sometimes, it simply requires connecting the pieces that already exist.
Editorial Disclaimer: This article is based on publicly available information, including the company's official website, verified investor announcements, media coverage from eHealth Magazine, Tracxn, and publicly attributed statements by the founders. The doctor-to-patient ratio figures are sourced from the Ministry of Health and Family Welfare (PIB). The chronic disease statistic is sourced from the ICMR India State Level Disease Burden Initiative (2022). The early traction figures are sourced from a public pitch by co-founder Shivangi Sharma and reflect an early growth phase; current figures have not been independently verified by The Entrepreneur Post. Forward-looking claims around expansion and growth represent the company's stated direction. Readers are encouraged to conduct their own due diligence.
Published by The TEP Desk