In June, the supplement industry veteran and founder and CEO of NutriSelect.ai, filed a provisional patent for the health tech company’s Precision Supplement Intelligence platform and score rating system. The tool uses algorithms and machine learning to verify the science behind supplements.
About 60% to 80% of supplements do not have scientific validation, according to Dr. Clark, who initially created NutriSelect to scour publicly available scientific studies in real time to determine supplement and ingredient efficacy. The platform assigns a numerical score to supplements based on the data. That is just one application for NutriSelect, as Dr. Clark has a greater vision.
“We’re talking about transforming a multi-billion-dollar supplement industry from what it is today into something completely different,” he said.
Accelerator program
The provisional patent filing is not Dr. Clark’s only accomplishment in recent months. He has created a CRO consortium and has also received letters of intent from companies like Radicle Science.
This month, he partnered with DigitSense, a global AI product development and transformation firm headed by founder and CEO Moon Yiu, to lead a full-scale development of the NutriSelect’s proprietary NScore rating engine and mobile platform through its marketplace launch phase. The two companies have collaborated since 2024, when DigitSense developed the NutriSelect prototype that validated the concept for the company’s Precision Supplement Intelligence platform.
Dr. Clark is also close to reaching pre-seed funding goals for NutriSelect and said he is confident the platform will easily achieve seed funding. The company has received interest from multiple venture capitalist firms globally, he added.
At the same time, NutriSelect is launching an accelerator program that will initially involve five brands and 10 ingredient companies to gather data and improve product innovation, leveraging AI for evidence-based supplementation.
“The strategy with these first cohorts and the accelerator program is to have participants be strategic partners with us to help us train our engine and build our data sets,” he said. “What’s really important with AI here is that you build the appropriate data sets to support and train your platform. What we are building is predictive AI.”
He noted that organizations sometimes rely on surface-level AI information, like ChatGPT, which is limited because it just scrapes both good and bad information on the internet.
The goal is to launch a beta version of NutriSelect in the first quarter of 2026 and by the second quarter a version for the marketplace. Dr. Clark added that scientific data collected will guide ingredient or product company on where to focus their innovation, rather than leaving the market to dictate the direction.
Harnessing the API
Dr. Clark is in discussions with companies to license the NutriSelect API, or Application Programming Interface, a set of rules that allows software applications to communicate with each other.
For example, he said wearable devices for wellness and health progress tracking have validated clinical tools in the software backend. Device companies could collaborate with NutriSelect to offer users another layer: supplement tracking. Ultimately this kind of user data may inform large-scale supplement studies that Dr. Clark said NutriSelect could conduct, or partner to run.
“There are a lot of ecosystems, probably some we haven’t thought about, that could be plugged into,” he added. “There are others, like people in the health tech space, or health influencers, athletes, who have huge followings. I’m already in discussions with several of them right now. These people could potentially license our API as well to plug into their ecosystems, and this will just help us grow exponentially.”
