For a nursing student preparing for a competitive examination, losing a few days of study can disrupt an entire preparation schedule. NPrep is building its learning platform around that problem, using student performance, available study time, and examination requirements to plan a study schedule.
The three-year-old nursing edtech startup uses AI to create educational material and analyse learner activity, while a recommendation engine uses multiple student and examination-related parameters to change the sequence of that material. When a student falls behind, topics can be moved down the schedule so that more relevant material receives priority.
India had 46.02 lakh registered nursing personnel as of December 31, 2025, according to a Lok Sabha reply from the Ministry of Health and Family Welfare. However, the country's nurse-to-population ratio remains below the World Health Organization's benchmark of three nurses per 1,000 people.
NPrep estimates that more than 40,000 government nursing vacancies could open up across central and state organisations in 2026, spanning examinations such as AIIMS NORCET, ESIC Nursing Officer, RRB Nursing Superintendent, DSSSB Nursing Officer, Community Health Officer recruitment, and state staff nurse examinations.
That’s where the Jodhpur-based startup positions itself. At the centre of it is an in-house AI system the company calls "Nursing Brain".
The Nursing Brain
Nursing Brain generates questions, explanations, and presentations and can also be used for transcription, translation, and quality checks. The startup has developed newer products, including the interactive question bank Nursing Audio QBank and multilingual support, on top of the system.
Nursing Brain is trained using more than 2,000 hours of updated video lectures from doctors and nurses, more than 50,000 pages of notes and previous papers, and the Indian Nursing Council syllabus.
"100% of our content is reviewed and approved by a subject expert before a student sees it," NPrep notes in a written response.
Dr Prince Kaushik, Founder and CEO of NPrep, tells AIM that the company does not directly give students material generated by a general-purpose large language model. "In healthcare education, the kind of accuracy LLM provides is not enough. I cannot directly give that to the student.
NPrep’s content goes through two stages of review.
A subject matter expert checks clinical accuracy, followed by a second reviewer who checks the source material and current examination patterns. Students can also flag errors inside the platform.
NPrep says flagged content is typically reviewed and corrected within 30 minutes.
Inside the Brain
The platform begins building a study plan during onboarding. Students provide information such as their course, location, mother tongue, available study hours, and lecture speed. NPrep then creates a day-wise plan.
The recommendation engine uses a multi-parameter rubric to determine which questions and topics a student should focus on. The system takes into account topic accuracy, time spent on a question, mock-test scores, lecture completion, practice consistency, the target examination, and the number of days remaining for the examination.
It also adjusts the schedule when a student falls behind a study plan. Rather than removing topics entirely, NPrep deprioritises them and reshapes the schedule around the remaining time.
High-yield topics remain protected, while topics where the student is already strong or that carry lower examination relevance can move further down the schedule.
The company wants to eventually make those adjustments at a much smaller level. Dr Kaushik describes the long-term product as a "hyper-vigilant AI, hyper-vigilant system" that can change a student's preparation path question by question.
No Chatbot
NPrep uses several AI models for different tasks. It taps Claude for long-form structured work, ChatGPT and Gemini for creative tasks including image generation, and is exploring Sarvam for regional-language expansion.
The startup has chosen not to build a student-facing general-purpose chatbot. "Wherever we are putting a chatbot, we are opening ourselves to a vulnerability where we don't have control over what is going to the student," Dr Kaushik explains.
Instead, NPrep uses AI within specific parts of its learning workflow, with its own content and review processes around the material.
The company also does not currently use AI to generate long-form educational videos. The AI use is only around text, images, and audio.
The Learner Data
NPrep has accumulated data from more than 2.4 lakh students, including more than 67.7 million question attempts and 16.76 million minutes of lecture viewing and test-performance data. It collects the data through in-app activity with user consent. Questions are tagged by subject, topic, subtopic, and difficulty and mapped against previous examination patterns.
The startup then uses it to understand student performance and inform the company's personalisation system.
NPrep measures the system by comparing students who follow its personalised plans with those who do not. The company tracks mock-test improvement, topic accuracy, plan consistency, usage and completion, and conducts A/B tests.
Why Nursing?
Dr Kaushik's interest in nursing came from his own experience as a patient.
While studying medicine at AIIMS Jodhpur and pursuing a Bachelor of Surgery, he unfortunately had a car accident that left him with a spinal injury and three months of recovery.
"As a patient, it looks very different. A doctor is probably 5% of your time in a hospital; 95% it's nurses, and the kind of quality we have right now, India deserves better," he notes.
Dr Kaushik, along with fellow AIIMS Jodhpur alumni Dr Utkarsh Paliwal and Dr Gourav Khurana, started NPrep during their MBBS internship, when they were 22.
The company initially focused on helping nurses prepare for government examinations while they continued to work. Dr Kaushik says nurses preparing for these examinations often had to leave private-sector jobs and travel to another city for offline coaching.
NPrep now offers nursing examination preparation through its online platform. The company charges about ₹1,000 a month, including GST.
Its product has gone through several iterations since launch. The company started with a basic MCQ application and later rebuilt the product around its content library, test preparation, and personalisation system.
NPrep has raised a roughly $500,000 pre-seed round led by All in Capital and a $1.5 million seed round led by Lumikai.
The company has around 120 employees, with most of the team working in counselling.
More Ways to Prepare
NPrep is continuing to expand the formats through which students can use its platform.
Its Nursing Audio QBank is designed for students who want to practice through audio, while multilingual support is being developed for learners studying in regional languages.
The company is also working toward making its study-plan system respond continuously to changes in a student's preparation.
"Even if any question is going wrong, whatever impact it is making on your preparation journey, we want to be realistic in changing your pathways," Dr Kaushik affirms.
Nprep competes with traditional brick-and-mortar coaching institutes as well as NORCET-focused mobile-based platforms such as Nursing Next Live. However, it says its Nursing Brain recommendation engine makes it stand apart from other interactive coaching formats.
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