Singapore-based artificial intelligence firm HELF AI, which provides professionals in the health and wellness industry with advance AI tools, hopes to raise $10 million for its seed funding round.
Built by a medical doctor for health professionals and students alike, HELF said it provides access to clear, evidence-based insights from vast amounts of medical data, in seconds. It also helps to make informed research and clinical decisions, allowing medical professionals to focus on their patients.
“We are starting to monetize our services and we are also on the look out for seeding funding. We are looking at $10 million to bring our product to the next stage,” HELF AI Founder Dr Reid Lim told TNGlobal in an interview.
“Based on our knowledge, there are little or no other healthcare-specific proprietary large language models (LLM) focusing on the entire health and wellness industry,” he said.“Our moat and competitive edge is our ever-expanding knowledge base.”
HELF currently offers a range of AI-driven solutions designed to assist clients and professionals across the entire health and wellness spectrum. Last week, HELF announced its app is now live on Google Play all across the world.
“As of now, our team has successfully developed HELF – which is the main engine of our healthcare knowledge that is built on billions of clinical words. Leveraging the success of HELF-LLM engine, we are able to develop API endpoints that startups and organizations can use to further develop their own health and wellness solutions. In addition, we are fine-tuning HELF to create wellness personas, ” Dr Lim said.
“Our first project is a Beauty AI consultant – KIT. It is built on advanced machine learning models, including natural language processing capabilities, to parse and interpret medical literature and user inquiries effectively,” he added.
Dr Lim said the technology is built on advanced machine learning models trained on a corpus of billions of medically relevant training data so that HELF can parse and interpret medical literature and understand unstructured user inquiries effectively.
According to him, less than one month from release, HELF has already achieved accuracy of near 84 percent when pitted against a sampling of United States Medical Licensing Examination (USMLE) Step 1.
Dr. Lim is a medical doctor and the pioneering founder of HELF AI. He hopes to revolutionize healthcare through the transformative power of AI. By focusing on deep learning through computer vision and LLM, his work strives to elevate global health standards to be more equitable, efficient, and safer. He also hopes to bridge the gap between technology and medicine, paving the way for a healthier future for all.
“Our biggest challenge in developing this product is the ever-scaling technical difficulties in modern machine learning, but our biggest pain point is that we are in an entirely new space, and since there is no precedence, it is hard to engage partners as they may not even know what they are looking for,” he added.
In the interview, Dr Lim also shared his views on how advanced AI tools can help professionals in the health and wellness industries, the company’s goals, vision and mission, its business model, among others.
Below are the edited excerpts of the interview:
Why the need for advanced AI tools for health and wellness industry?
Advanced AI tools like HELF are pivotal in transforming the health and wellness industry by addressing several critical challenges.
Firstly, HELF enhances the accuracy of diagnoses and personalizes patient care plans. By leveraging advanced deep learning techniques, HELF analyzes complex medical data and identifies patterns that might be overlooked by humans, thus elevating the safety and quality of healthcare.
Secondly, HELF streamlines care processes. It augments the invaluable human workforce by assisting with and automating various tasks throughout the electronic health record experience. This support allows healthcare professionals to concentrate more on direct patient care, thereby boosting the efficiency of healthcare delivery.
HELF also serves as a reliable assistant to clinicians, including doctors, nurses, and allied health professionals. Trained on vast amounts of clinical data, HELF acts as a reservoir of insights, wisdom, and clinical references, always ready to offer guidance and support to healthcare providers.
Ultimately, these capabilities contribute to more equitable healthcare. By standardizing high-quality care and democratizing access to advanced diagnostic tools, HELF helps bridge the gap in healthcare disparities. This advancement leads to safer, more efficient, and universally high-quality care, transcending geographic and socio-economic barriers.
What kind of products or solutions does HELF provide now? What kind of technology was used to develop this?
HELF currently offers a range of AI-driven solutions designed to assist clients and professionals across the entire health and wellness spectrum.
As of now, our team has successfully developed HELF, the main engine of our healthcare knowledge that is built on billions of clinical words. Leveraging the success of HELF-LLM engine, we are able to develop API endpoints that startups and organizations can use to further develop their own health and wellness solutions. In addition, we are fine-tuning HELF to create wellness personas.
Our first project is a Beauty AI consultant – KIT. It is built on advanced machine learning models, including natural language processing capabilities, to parse and interpret medical literature and user inquiries effectively.
Our technology is built on advanced machine learning models trained on a corpus of billions of medically relevant training data so that HELF can parse and interpret medical literature and understand unstructured user inquiries effectively.
How many products do you have now? What is your targeted audience? Just medical doctors?
HELF has developed two products: HELF (Healthcare AI) and KIT (Beauty AI). We have also developed the APIs associated with these two models for agnostic use to support other companies and enterprises.
Our target audience is anyone interested or connected to the health and wellness industry – so practically almost everyone.
What are the opportunities you see in developing this?
a. How is HELF different from other products?
HELF offers a more clinically-relevant and more accurate experience compared to other large language models like ChatGPT. Less than one month from release, HELF has already achieved accuracy of near 84 percent when pitted against a sampling of USMLE Step 1. Our team will work hard to help HELF become even more all-encompassing and knowledgeable.
b. Is there any other similar companies providing such services? What is your competitive edge? What are the challenges you see in developing and promoting these products?
Based on our knowledge, there are little or no other healthcare-specific proprietary large language models focusing on the entire health and wellness industry.
Our moat and competitive edge is our ever-expanding knowledge base.
Our biggest challenge in developing this product is the ever-scaling technical difficulties in modern machine learning, but our biggest pain point is that we are in an entirely new space, and since there is no precedence, it is hard to engage partners as they may not even know what they are looking for.
Which stage is HELF in? Are you looking for funds? If so, how much and what for? Who are your existing investors?
We are starting to monetize our services and we are also on the look out for seeding funding. We are looking at $10 million to bring our product to the next stage. Right now we do not have any investors yet.
What would be your business model? How do you get revenue? Subscription base? Freemium?
We will offer free access to all accounts subject to usage and feature limitations. Users can unlock more throughput by subscribing. HELF will also become a software-as-a-service (SaaS) company. We are readying our APIs for external services to tap on with a fee. We are confident that these monetization routes are hugely profitable.
What is HELF’s goals, vision and mission?
Our goals include to democratize access to medical knowledge, making it more accessible and actionable for healthcare professionals worldwide. Our vision is to revolutionize the standard of care through AI, and our mission is to provide tools that support clinical decisions with accuracy and speed – across the entire health and wellness industry.
How big is your team? Could you please briefly tell us your background?
Our team consists of doctors, healthcare professionals and AI computer engineers. I, as the founder, am a medical doctor with experience in AI development, having founded two AI tech companies focused on elevating global health standards. My educational background includes a focus on healthcare technology and management.
Screenshots of HELF app. TNGlobal’s reporter asked HELF about Voltaren gel and Voltaren pills. *HELF can make mistakes. Always verify information*