help me answer this "In 3-4 sentences, describe your business idea, the problem space and the market potential. What made you pick this idea?" based on this context: # Other FAQs ### Why is your team a winning team? We’re a founding team of a Doctor, Engineer, and Chartered Accountant bringing together deep clinical insight, strong user understanding, operational excellence, and the technical expertise needed to execute and scale. This unique combination makes us exceptionally well suited to build impactful healthcare AI solutions. ### Why is now the right timing of your startup? The technological advancements have now made it possible to automate the efforts put in manually by well read clinicians with the help of AI Agents and significant improvements in LLM and RAG architecture has increased the quality of responses significantly ### What is your customer acquisition strategy? We will be using Meta Ads and influencers to promote our product until we don't see network effect working strongly for us, then word of mouth will be the source of getting more customers ## What problems are you looking to solve? Doctors face a losing battle against information overload. - Each search takes ~10 minutes while the patient waits. - Staying up to date in one specialty would require 20 hours of reading every day. - Meanwhile, the evidence pool has exploded past 38 million papers and counting. ### Please describe your startup in 1 line (Elevator Pitch) Orris is building a clinical decision support system that transforms a doctor’s long information search into a two-second, context-aware answer. ### **What is unique about what you’re building?** We are building a search tool specialized for the high-stakes environment of healthcare decision-making. Unlike generic chatbot applications, it leverages AI-native technologies to retrieve and synthesize information from medical journals, research papers, guidelines, and textbooks, delivering answers that are far more specific and fine-tuned for biomedical experts. ## **What else have you built in the past? What was your earliest taste of entrepreneurship? (**Describe your journey and what you've learned**) - for Divyam** My journey began in finance. I cleared one of India’s toughest exams and secured an All India Rank 31 in Chartered Accountancy. But even during my short 6-month stint at a reputed firm, I felt the pull of entrepreneurship. I started helping friends set up their café businesses, visited health-tech expos, and constantly found myself chasing ideas outside the cubicle. One of my earliest hands-on ventures was launching a US student housing startup, all while sitting in India. Despite never having visited the US, I tied up with brokers in Boston, managed property tours remotely, and built the entire website and operations in less than a month. Around the same time, I also set up a small clinic where my doctor friends acted as visiting consultants, and we treated a handful of cases giving me a unique perspective on the challenges clinicians face. All these experiences, whether dealing with real estate from across the globe or bootstrapping healthcare setups taught me to move fast, solve real-world problems creatively, and build with whatever resources I had. Eventually, these threads converged into what I’m building now: Orris, a clinical decision support tool for doctors, with my two cofounders. It’s the culmination of my passion for tech, healthcare, and solving problems that truly matter What is your company going to make? Please describe your product and what it does or will do. Orris is an AI medical search copilot for clinicians. A doctor types a clinical question, a drug interaction, a second-line therapy, a dosing edge case and Orris searches across PubMed, clinical guidelines, trial registries, and specialty textbooks, then returns a answer with a ranked evidence summary, inline citations, and auto generated visuals like dosage tables and flowcharts. The result is a confident, cited answer in under 60 seconds instead of 30 minutes of manual searching. Other than this medical students, residents, professors and other stakeholders also use Orris to make presentations, posters, write research papers, exam preparations, etc. It also serves as a good replacement for medical textbooks as all the major medical textbooks are already indexed in the orris's database and user directly gets the answer from that. Why did you pick this idea to work on? Do you have domain expertise in this area? How do you know people need what you're making? We’re solving a problem lived by Takshit, our co-founder and an MD resident, who used to constantly juggles PubMed, guidelines, textbooks, and tools like ChatGPT, to end up with incomplete or unreliable answers. Existing tools hallucinate, lack citations, or miss clinical nuance. To validate this beyond his own experience, we interviewed 120+ doctors, residents, and medical students. A basic GPT wrapper we built went viral - 15k signups, 600 daily active users last year. We bring deep domain expertise and execution speed: Takshit faces this problem daily, and Akash, is the technical force behind the product being a software developer himself. This lets us build fast, test quickly, and stay close to what clinicians actually need. From past 3 months all the three cofounders are writing production ready code themselves as they taught themselves to code and AI coding tools like claude code are a massive win for the team. Now the iteration cycle for each cofounder is they face a problem (or interview doctors for a problem), write the code, ship to production, make a reel on that and post it to instagram, and repeat. How do or will you make money? How much could you make? The US physician workforce represents a ~$350B annual labor market. If Orris automates 30% of a physician's cognitive workload, we address ~$105B in value and capturing even a fraction of that as subscription revenue or otherwise points to a multi billion dollar ceiling. At $200/physician/year, reaching $100M ARR requires 500,000 active users and with over 1 million physicians in the US alone, expanding to nurses, PAs, and other clinicians globally makes this a highly reachable milestone. Orris charges clinicians a monthly subscription to access AI powered clinical decision support directly, meaning revenue scales with every individual who adopts the product. The addressable user base is massive, the price point is accessible, and we just need to be the tool every clinician opens before making a decision. Why did you pick this idea to work on? Do you have domain expertise in this area? How do you know people need what you're making? We’re solving a problem lived by Takshit, our co-founder and an MD resident, who used to constantly juggles PubMed, guidelines, textbooks, and tools like ChatGPT, to end up with incomplete or unreliable answers. Existing tools hallucinate, lack citations, or miss clinical nuance. To validate this beyond his own experience, we interviewed 120+ doctors, residents, and medical students. A basic GPT wrapper we built went viral - 15k signups, 600 daily active users last year. We bring deep domain expertise and execution speed: Takshit faces this problem daily, and Akash, is the technical force behind the product being a software developer himself. This lets us build fast, test quickly, and stay close to what clinicians actually need. From past 3 months all the three cofounders are writing production ready code themselves as they taught themselves to code and AI coding tools like claude code are a massive win for the team. Now the iteration cycle for each cofounder is they face a problem (or interview doctors for a problem), write the code, ship to production, make a reel on that and post it to instagram, and repeat.