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§ Private Profile · Singapore, Singapore
AI healthcare platform developing clinical assistants and patient engagement tools for doctors and hospitals, automating clinical workflows.
Bot MD has raised $7.0M across 2 funding rounds.
Key people at Bot MD.
Bot MD was founded in 2018 by Yanchuan Sim (Founder/CTO) and Dorothea Koh (Founder/Founding CEO).
Bot MD has raised $7.0M in total across 2 funding rounds.
Bot MD is a Singapore-based healthcare technology company that develops AI-powered clinical assistants and patient engagement platforms for hospitals and clinics. The company's software integrates directly with consumer messaging applications like WhatsApp to automate various clinical workflows, including appointment scheduling, remote patient monitoring, and chronic disease management. Additionally, the platform provides medical professionals with instant access to institutional hospital systems and clinical reference resources such as UpToDate. Operating with an estimated 15 to 27 employees, the enterprise software-as-a-service platform is currently utilized by more than 20,000 doctors and over 100,000 patients across Southeast Asia and global markets. The startup has raised $5 million in total venture capital funding, backed by notable institutional investors including Monk’s Hill Ventures, SGInnovate, and Y Combinator. Bot MD was officially founded in 2018 by co-founders Dorothea Koh and Yanchuan Sim.
Key people at Bot MD.
Bot MD has raised $7.0M across 2 funding rounds. Most recently, it raised $5.0M Series A in December 2020.
Bot MD was founded in 2018 by Yanchuan Sim (Founder/CTO) and Dorothea Koh (Founder/Founding CEO).
Bot MD has raised $7.0M in total across 2 funding rounds.
Bot MD's investors include 42Phi Ventures, Accel, Backstage Capital, Collab Capital, Floodgate, Haystack, Include Venture Partners, M34 Capital, NewMe Accelerator, RareBreed Ventures, SeaX Ventures, Share Ventures.
High-Level OverviewBot MD is an AI-powered clinical assistant designed to empower doctors by providing instant, accurate answers to clinical questions through a chatbot interface. It can be trained on any hospital-specific content, including protocols, guidelines, medication details, and clinical calculators, enabling rapid, context-specific support at the point of care. The product primarily serves hospitals, clinics, and healthcare networks, especially in Southeast Asia, helping physicians and medical staff streamline workflows and reduce time spent searching for information. Bot MD also offers patient engagement tools, including AI-driven patient monitoring and communication via popular chat platforms like WhatsApp, enhancing care delivery and operational efficiency. The company has demonstrated strong growth, with over 18,000 doctors using its platform globally and expanding its footprint across emerging markets such as Indonesia, the Philippines, Malaysia, and India[1][2][5][6][7].
Origin StoryFounded in 2018 by Dorothea Koh, a healthcare-focused entrepreneur passionate about emerging markets, and Yanchuan Sim, a former NLP/ML scientist, Bot MD emerged from the need to reduce information bottlenecks in clinical settings. The founders combined expertise in AI and healthcare to build a solution that could be customized to hospital-specific needs. Early traction included adoption by over 13,000 doctors worldwide within the first few years and recognition from organizations like the World Health Organization. The startup participated in Y Combinator’s Summer 2018 batch, which helped accelerate its development and market reach[1][4][6].
Core Differentiators- Customizability: Bot MD’s AI can be trained on any hospital or institution-specific content, allowing deep tailoring to unique clinical workflows and protocols.- Instant, Contextual Answers: Unlike general AI assistants, Bot MD prioritizes rapid, precise responses to clinical queries, reducing delays in decision-making.- Multi-Platform Integration: Supports integration with hospital EMRs and popular chat apps (WhatsApp, Viber, Messenger), facilitating seamless adoption by clinicians and patients.- Comprehensive Functionality: Beyond clinical queries, Bot MD offers voice dictation transcription, patient monitoring, appointment scheduling, and automated patient education.- Regional Focus and Language Support: Strong presence in Southeast Asia with multilingual capabilities, addressing local healthcare challenges and infrastructure[2][3][5][6][7].
Role in the Broader Tech LandscapeBot MD rides the growing trend of AI-driven clinical decision support and digital health transformation, particularly in emerging markets where healthcare resources are stretched. The timing is critical as hospitals increasingly adopt AI to improve efficiency, reduce clinician burnout, and enhance patient engagement. Market forces such as the rise of telemedicine, demand for remote patient monitoring, and integration of AI into existing communication platforms favor Bot MD’s approach. By enabling hospitals to customize AI assistants to their workflows, Bot MD influences the broader ecosystem by setting a standard for adaptable, scalable clinical AI solutions that bridge information gaps and improve care delivery[2][5][6][7].
Quick Take & Future OutlookLooking ahead, Bot MD is poised to expand its regional footprint further into Southeast Asia and India, leveraging its AI platform to deepen hospital integrations and broaden patient monitoring capabilities. Trends such as increased adoption of AI in healthcare, growing demand for remote care, and digital transformation in emerging markets will shape its journey. The company’s ability to customize AI assistants for diverse healthcare environments positions it to become a key player in clinical AI, potentially influencing global standards for AI-powered clinical support and patient engagement. Its continued innovation in multilingual, multi-platform AI tools will likely enhance its influence on healthcare delivery and operational efficiency worldwide[6][7].
This trajectory ties back to Bot MD’s founding mission: empowering doctors globally by removing information barriers and enabling faster, better clinical decisions.