If you invest, you're betting SelfDecode will be worth more than $49.989M in the future.
SelfDecode aims to provide an integrated AI platform that provides personalized health recommendations based on a combination of your DNA, labs, and environmental factors.
In addition to providing a direct-to-consumer service, SelfDecode has also signed a handful of contracts licensing its technology to a variety of health-related companies.
SelfDecode was founded in 2017 and already offers users advanced reports which utilize artificial intelligence to provide targeted supplement, diet and lifestyle recommendations based on a person’s DNA. The platform also provides a lab analysis and tracker tool that gives personalized health recommendations designed to help users get their lab markers in the optimal range.
Risk assessments are also available to help users understand the impact of environmental factors on their health.
Now, SelfDecode is taking its platform to the next level by integrating all of this data to provide users with a holistic set of personalized health recommendations that will allow consumers to truly take charge of their own healthcare with data-driven precision health decisions.
Typically, when a person has a health problem, they immediately visit Google looking for answers. However, the information they find is generic and they can’t really understand what will, or won’t, actually work for them.
The fact of the matter is that it’s not possible to find out the root cause of health issues, or identify optimal solutions, without utilizing personal health data, such as genetics, labs, or environmental data.
Even when a sick person visits a doctor, very little of this data is actually used to treat the issues. Doctors don’t have the time to analyze millions of data points, so they typically rely on treating symptoms.
Each issue is treated separately and people often end up on dozens of medications, none of which treat the root cause of their issues.
SelfDecode provides a solution that is different from both conventional medicine and other direct-to-consumer health services.
Unlike doctors, SelfDecode is able to analyze billions of pieces of information with artificial intelligence and machine learning to help consumers uncover the underlying cause of their health issues and provides them with a comprehensive plan to address their problems with specific supplements, diets, and lifestyle changes.
We are believed to be the only company that offers truly personalized health recommendations based on a person's genes and other personal health data. While other companies provide risk analysis, their recommendations are generic and they do not use an integrative approach that takes all relevant health data points into consideration.
In fact, we’ve been setting ourselves apart from the competition for quite a while.
When you sign up for a membership with SelfDecode, you get:
The human genome consists of about 7 billion pieces of information. On top of that, there are thousands of lab tests, diets and other environmental factors that make you the person that you are.
In order to make the best health decisions, you must take all of these factors into account. Otherwise, you end up addressing individual problems or symptoms without looking at the whole picture. The problem is that there is just too much information for any human to analyze.
That’s why SelfDecode is solving this problem with artificial intelligence and machine learning.
We use the latest techniques in AI including Deep Learning, Bayesian Machine learning, and Hyperdimensional Computing for imputation and our genetic models.
That's why we're able to analyze up to 83 million SNPs (versus a typical 23andme kit that analyzes 650K SNPs) so that we get the most complete picture of your DNA.
In addition to genetics, we’re using advanced algorithms that will allow us to consider all relevant health data points (labs, environment, etc..) and make better predictions and recommendations about your health so that you can become the best and healthiest version of yourself.
At SelfDecode, we’ve brought together a diverse team of 88 trained scientists, engineers, MDs, PhDs and skilled professionals to build something that’s never existed before.
Our team consists of 41 software architects and engineers, and 38 scientists with PhDs, MDs and Masters degrees. In addition, we have highly skilled professionals in product development, design, marketing, finance, operations, customer support, and human resources.
We selected the best people out of 53,000 applicants in order to build our world-class team.
Comparing Q4 of 2019 to Q4 of 2020, SelfDecode’s revenue grew from $174,000 (Q4 2019) to $627,000 (Q4 2020). In addition to making more sales, the increase in revenue came from increases in the average lifetime value and length of paid subscriptions.
Average lifetime value of paid subscriptions grew from $138 to $247 while the average length of a paid subscription grew from 22 months to 53 months.
In 2020, Genius Labs (SelfDecode, Lab Test Analyzer and SelfHacked) brought in a total revenue of $1.93M, while only spending 6.8% on paid advertising.
In 2021, SelfDecode plans to continue scaling revenue through 5 strategic methods.
SelfDecode will continue adding features and product offerings for their B2C and B2B subscription products.
As of Q3 2022, we have signed 18 partners to license our technology out to other companies in the personalized health space.
B2B Subscription Product for integrative Health Practitioners
B2C Product Expansion
Long term goals (2023-2025)
SelfDecode has entered the health industry at just the right time. With so many services moving online, consumers are looking for digital solutions for their healthcare now more than ever before. In fact, the Accenture 2020 Digital Health Consumer Survey showed that 62% of consumers are open to using digital health services.
With 6 in 10 adults having at least one chronic disease that can be impacted by lifestyle choices, the consumer need for personalized and data-driven health recommendations is apparent. GMI Insights reported that the digital health market is expected to grow to over $639 billion by 2026.
People aren’t just looking for ways to solve their current health problems. They are looking for strategies to effectively prevent diseases and conditions. Grand View Research predicts that the preventive healthcare technologies and services market will be worth $432 billion by 2024. Combined with the fact that the mobile medical apps market size is growing at a compound rate of 23% per year (Emergen Research), and SelfDecode is poised to provide a growing market with just the right product at exactly the right time.