Geviti Health Launches Clinical-Grade Genetic Testing and Makor AI to Advance Personalized Preventive Care
Geviti, a preventive healthcare and longevity platform focused on personalized medicine, has announced the launch of two new innovations designed to expand its data-driven approach to long-term health management. The company has introduced Geviti Genetics, a clinical-grade genetic testing service, alongside Makor AI, an artificial intelligence-powered personal health assistant that integrates an individual’s medical information to deliver personalized health guidance.
The new offerings are intended to strengthen Geviti’s comprehensive preventive care ecosystem by combining genetic insights, laboratory diagnostics, wearable technology, and AI-assisted clinical support into a unified platform. Together, these additions move beyond traditional health assessments by helping members better understand both their inherited health risks and their current physiological status while receiving personalized recommendations based on their unique medical profile.
The launches reflect a growing trend in healthcare toward precision medicine, where prevention and treatment strategies are increasingly tailored to the biological characteristics, lifestyle, and health history of each individual rather than relying on generalized recommendations.
Expanding Personalized Preventive Healthcare
Preventive medicine has evolved significantly over the past decade as advances in genetics, laboratory diagnostics, wearable devices, and digital health technologies have made it possible to identify disease risks earlier and personalize interventions more effectively.
Geviti’s latest product expansion builds upon this trend by integrating multiple sources of health information into a single care platform.
Previously, the company’s services focused primarily on advanced blood testing and gut health assessments.
With the addition of Geviti Genetics, members can now incorporate DNA analysis into their ongoing health evaluations, providing another layer of biological information that complements routine laboratory testing.
At the same time, Makor AI offers members continuous access to personalized health guidance by analyzing their individual medical information rather than relying solely on generalized health knowledge available through conventional artificial intelligence systems.
Together, these technologies aim to create a more comprehensive understanding of health by combining inherited genetic information with real-time physiological data.
Moving Beyond Standard Consumer DNA Tests
Consumer interest in genetic testing has grown rapidly over recent years.
Many commercially available DNA testing services provide information regarding ancestry, inherited traits, and selected health risks.
However, interpreting genetic findings can often be challenging for individuals without medical training.
Many reports include complex scientific terminology or lists of genetic variants without clearly explaining how the information should influence everyday healthcare decisions.
Geviti has designed its genetics program to address this challenge.
Rather than simply providing members with a genetic report, the company integrates DNA findings directly into individualized care plans developed by healthcare professionals.
This approach allows genetic information to become part of an ongoing clinical strategy rather than serving as a standalone diagnostic document.
By combining laboratory testing with personalized medical oversight, Geviti seeks to help members translate genetic findings into practical lifestyle and healthcare recommendations.
Understanding the Relationship Between Genetics and Bloodwork
According to Geviti, blood testing and genetic testing provide complementary perspectives on health.
Bloodwork reflects an individual’s current physiological condition by measuring biomarkers associated with metabolism, inflammation, organ function, hormones, and nutritional status.
Genetic testing, by contrast, identifies inherited variations that may influence how an individual responds to medications, metabolizes nutrients, processes toxins, or develops certain health conditions over time.
When interpreted together, these two sources of information can provide a more complete picture of an individual’s health.
For example:
- Bloodwork may identify elevated cholesterol levels.
- Genetic testing may reveal inherited factors contributing to lipid metabolism.
- Blood tests may detect vitamin deficiencies.
- Genetic variants may explain differences in nutrient absorption or methylation pathways.
- Hormone levels may appear abnormal.
- Genetic information may help clarify underlying biological predispositions.
Integrating these data sources enables healthcare providers to personalize prevention strategies more precisely.
Clinical-Grade Genetic Testing
Geviti Genetics offers clinical-grade DNA testing focused specifically on preventive healthcare rather than ancestry analysis.
The test evaluates more than 160 single nucleotide polymorphisms (SNPs), which are small variations within the human genome associated with differences in health risks and biological function.
The analysis spans 12 major health categories, including:
- Cardiovascular health
- Drug metabolism
- Detoxification pathways
- Cancer risk
- Hormonal function
- Methylation
- Mental health
- Nutritional metabolism
- Cellular function
- Inflammatory processes
- Wellness optimization
- Preventive health markers
Rather than emphasizing disease prediction alone, the testing is intended to help clinicians understand how inherited biology may influence overall health and response to lifestyle interventions.
Integrating Genetics Into Personalized Care
One of the defining aspects of the Geviti Genetics program is its integration into active healthcare management.
Instead of issuing members a static report, every genetic finding becomes part of an evolving personalized care plan.
Healthcare professionals known as Longevity Specialists review genetic results alongside laboratory data, medical history, and other health information to develop individualized recommendations.
These recommendations may address areas such as:
- Nutrition
- Exercise planning
- Sleep optimization
- Stress management
- Supplementation
- Preventive screening
- Lifestyle modification
Because genetics remain constant throughout life while physiological biomarkers change over time, combining both sources of information allows clinicians to continually refine personalized care strategies.
High Laboratory Standards
To ensure clinical reliability, Geviti’s genetic testing is processed by Gene by Gene, a Houston, Texas-based laboratory operating under CLIA-certified laboratory standards.
Clinical Laboratory Improvement Amendments (CLIA) certification establishes quality requirements for laboratories performing diagnostic testing, helping ensure analytical accuracy and reliability.
Testing is also conducted according to CAP/CLIA laboratory-developed test (LDT) standards, supporting quality assurance throughout the analytical process.
According to the company, testing follows a streamlined workflow.
After ordering the test:
- Collection kits generally arrive within three to five business days.
- Samples are returned to the laboratory for analysis.
- Results are typically available approximately 10 business days after sample receipt.
These findings are then incorporated into each member’s broader healthcare plan.
Introducing Makor AI
Alongside its genetic testing expansion, Geviti has introduced Makor AI, an artificial intelligence-powered health assistant designed specifically for personalized preventive care.
Unlike many publicly available AI chatbots that generate responses using broad internet knowledge, Makor AI is built around each member’s own health information.
The system analyzes multiple data sources, including:
- Blood test results
- Personalized care plans
- Supplement protocols
- Connected wearable devices
- Clinical recommendations
- Proprietary healthcare knowledge
This allows the AI assistant to generate responses that reflect an individual’s unique medical circumstances rather than providing generalized health advice.
The objective is to help members better understand their health information while supporting adherence to personalized treatment plans.
Personalized Rather Than Generalized Guidance
General-purpose artificial intelligence systems have become increasingly popular for answering health-related questions.
However, these tools typically lack access to individual medical histories, laboratory values, medications, or clinician-developed care plans.
As a result, responses often remain broad and may not adequately reflect the needs of specific individuals.
Makor AI addresses this limitation by incorporating member-specific information into every interaction.
For example, the assistant can answer questions related to:
- Recent blood test results
- Supplement schedules
- Lifestyle recommendations
- Nutrition guidance
- Exercise planning
- Recovery strategies
- Sleep optimization
- Wellness goals
Because recommendations are based on individualized clinical information, responses remain aligned with each member’s established healthcare plan.
Human-in-the-Loop Clinical Support
Although artificial intelligence plays a central role in Makor AI, Geviti emphasizes that the system operates within a human-in-the-loop care model.
This means that AI complements—not replaces—licensed healthcare professionals.
When members require clinical interpretation or more advanced medical support, Makor AI facilitates seamless communication with Geviti’s healthcare team.
Importantly, conversation history and relevant health context are preserved throughout this transition.
Members do not need to repeat previously shared information when moving from AI assistance to direct clinical support.
This continuity is intended to improve both efficiency and the overall patient experience.
Supporting Long-Term Health Engagement
Preventive healthcare often depends on sustained engagement between routine medical appointments.
Patients frequently have questions regarding nutrition, laboratory findings, supplements, medications, or lifestyle recommendations that arise between scheduled consultations.
Makor AI is designed to provide immediate responses during these intervals.
Rather than waiting for the next appointment, members can receive personalized guidance based on their existing care plans while maintaining continuity with their healthcare providers.
This continuous support model may encourage stronger adherence to preventive health recommendations and foster greater patient engagement over time.
Precision Medicine Through Data Integration
The launches reflect the broader healthcare industry’s movement toward precision medicine.
Traditional preventive care has generally relied on population-based recommendations that apply broadly across large groups.
Precision medicine instead seeks to tailor healthcare according to each individual’s:
- Genetics
- Biomarkers
- Lifestyle
- Environment
- Medical history
- Behavioral patterns
Combining multiple data sources allows clinicians to develop more personalized interventions aimed at reducing disease risk before illness develops.
As wearable devices, digital health platforms, laboratory testing, and genomics continue to evolve, integrated healthcare ecosystems are becoming increasingly important in delivering individualized care.
Leadership Perspective
Nathan Graville, co-founder of Geviti, explained that while blood tests provide insight into an individual’s current health status, genetic information offers additional understanding of the biological factors that may influence future health outcomes.
He noted that combining these complementary sources of information enables clinicians to make more informed healthcare decisions than either test could provide independently.
Graville added that many genetic testing services simply deliver reports without providing practical guidance.
In contrast, Geviti’s approach focuses on connecting each genetic finding to actionable health decisions that healthcare professionals can incorporate into personalized care plans.
Elijah Fougnies, Geviti’s co-founder and Chief Brand Officer, emphasized the importance of personalization in artificial intelligence-assisted healthcare.
He explained that many publicly available AI systems lack access to the specific medical information needed to provide individualized recommendations.
According to Fougnies, because every person’s biology, medical history, and healthcare goals are unique, AI health guidance should likewise be customized to each individual.
He described Makor AI as an extension of Geviti’s clinical care team, helping members receive timely answers to health-related questions while reinforcing recommendations developed by their healthcare providers.
Advancing Preventive Healthcare
The introduction of Geviti Genetics and Makor AI represents another milestone in the company’s broader mission to build a fully integrated preventive healthcare platform. By combining clinical-grade genetic testing, advanced laboratory diagnostics, artificial intelligence, wearable device integration, and personalized clinical oversight, Geviti aims to deliver a more comprehensive model of preventive and longevity-focused care.
As healthcare increasingly shifts toward early intervention, personalized medicine, and continuous patient engagement, integrated platforms like Geviti’s may play an expanding role in helping individuals better understand their health risks, make informed lifestyle decisions, and work collaboratively with healthcare professionals to support long-term wellness. Both Geviti Genetics and Makor AI are now available to members in all states where the company currently operates, further extending access to personalized preventive healthcare solutions.
Source link: https://www.businesswire.com/
