We’re Pushing Boundaries for Humanity

At Wellgineering, we believe that breakthrough discoveries happen when brilliant minds operate without constraints. Our invitation-only approach ensures that only the most exceptional talent works on humanity’s most pressing challenges. We push boundaries because the status quo isn’t acceptable when lives hang in the balance and our planet’s future depends on radical innovation.

Our research transcends traditional silos. Human longevity research informs livestock health optimization. Agricultural biotechnology advances enhance human nutrition science. Machine learning algorithms developed for crop prediction improve personalized medicine protocols. This interconnected approach accelerates discovery and creates synergies that would be impossible within conventional research structures.

Our Mission Domains

Human Wellness: We engineer personalized health solutions that predict, prevent, and optimize human biological performance. Our technologies don’t just treat symptoms—they enhance the fundamental processes that determine healthspan and human potential.

Livestock Innovation: Our precision biotechnology transforms animal agriculture through advanced biometric monitoring, personalized health protocols, and molecular interventions that optimize both productivity and animal welfare for sustainable food systems.

Agricultural Evolution: We develop intelligent farming technologies that maximize crop yields while regenerating soil health, creating resilient food systems capable of feeding a growing global population in an era of climate uncertainty.

 Our Innovation - People

  • This invention relates to compositions for delivering peptides via buccal absorption, particularly fast-dissolving oral films and functional chewing gums formulated to release bioactive agents directly into systemic circulation through the oral mucosa. It also pertains to systems modulating the oral microbiome and influencing the gut-brain axis using integrated nutritional compounds.

  • The invention discloses a system for the targeted delivery of peptides via the lymphatic system using oral or rectal formulations. By leveraging lipid-based encapsulation, bile salt-activated release mechanisms, or enteric-coated suppositories, this system enhances bioavailability by bypassing hepatic first-pass metabolism.

  • This invention discloses an AI-powered system for personalized peptide supplement formulation and dosing. By ingesting user-specific data from wearable devices, lab biomarkers, microbiome results, and behavioral inputs, the system generates real-time or protocol-based recommendations of peptide combinations optimized for the individual's biological state and health goals.

  • The system facilitates controlled, sustained, or triggered release of peptides through the epidermis into systemic circulation. Nanofiber architecture allows stabilization of otherwise fragile peptides, and layered patch formats can allow time-phased or synergistic ingredient release. Applications include cognitive peptides, metabolic enhancers, sleep inducers, anti-inflammatory agents, and aesthetic peptide blends.

  • This invention relates to the field of transdermal drug delivery systems. More specifically, it pertains to an integrated, closed-loop system comprising a chemical formulation, a hardware device, and controlling software for the externally-triggered, non-invasive, and user-controlled delivery of bioactive peptides and other therapeutic agents. The invention has applications in personalized wellness, chronotherapy, skincare, metabolic health, and cognitive science.

  • This invention relates to the field of personalized nutrition and wellness technology, and more specifically to an integrated system and method for the timed, automated delivery of supplements and nutrients corresponding with an individual's dynamically assessed circadian rhythms to optimize physiological effects.

  • The invention relates to intelligent supplement delivery systems that respond to individual biological signals. More specifically, it relates to systems and methods that initiate, delay, or modify the delivery of non-prescription, non-therapeutic nutrients based on detected biomarker levels using real-time data from wearable sensors.

  • This invention relates generally to wellness monitoring systems, and more specifically to an integrated, closed-loop system that operationalizes principles of psychoneuroimmunology (PNI) to predict and mitigate the risk of future adverse physiological events through automated interventions.

  • The present invention provides a modular smart ring system centered on a novel electromechanical interface that allows a user to easily, securely, and reliably attach and detach a plurality of interchangeable modules from a core electronic ring body. These modules can be purely aesthetic, or they can be functional, containing electronic components that augment the capabilities of the core ring body.

  • The invention relates generally to biosensors, metabolic monitoring, and wearable health technology. Specifically, it pertains to a real-time, multi-biomarker monitoring platform capable of detecting and interpreting biochemical signals including glucose, lactate, ketones, electrolytes, and hydration levels.

  • This invention discloses a non-invasive, wearable glucose monitoring system that overcomes the limitations of prior art by employing a novel and synergistic combination of multi-frequency dielectric spectroscopy and an advanced artificial intelligence (AI) architecture. The system is designed to computationally isolate the glucose-dependent signal from confounding physiological noise, thereby achieving a level of accuracy and reliability not possible with previous methods.

  • The present invention discloses a system and method for a multi-stage, adaptive AI architecture that transforms raw dielectric signal data from an RF/EM glucose sensor into accurate, real-time glucose estimates. The architecture is specifically designed to overcome the limitations of prior art by implementing a novel, dual-loop continuous learning system that operates efficiently on an edge device, such as a wearable monitor.

  • The present invention relates to pharmaceutical and nutraceutical chewing gum compositions. More specifically, the invention relates to compositions, formulations, and methods of manufacture for a chewing gum delivery system that provides for the enhanced stabilization, controlled release, and buccal absorption of bioactive peptides.

  • The present invention provides a solution to the aforementioned problems by disclosing multi-phasic, and preferably dual-phasic, chewing gum compositions and methods for the effective oral delivery of at least one bioactive peptide. The compositions are uniquely designed to protect the peptide from degradation while enabling a sequential release profile optimized for physiological effect.

  • This invention relates generally to the field of functional chewing gum formulations for health optimization. More specifically, it pertains to compositions and methods for overcoming the scientific challenges of buccal peptide delivery. The invention further relates to the timed administration of these novel peptide-containing compositions in coordination with circadian timing, habitual events, or data-driven physiological cues to enhance their efficacy.

  • This invention relates to functional chewing gum compositions for oral and systemic health applications. Specifically, it pertains to peptide-containing gums that modulate the oral microbiome and influence downstream physiological pathways including gut health, cognitive function, and immune response.

  • This invention relates to the field of functional chewing gums formulated for acute, event-triggered therapeutic use. Specifically, it addresses the challenge of delivering unstable bioactive peptides and supplemental agents via a chewing gum vehicle for the emergency management of conditions such as panic attacks, migraines, or physiological distress. The invention further pertains to the specific formulation architecture, manufacturing processes that enable peptide stability and bioavailability, and an integrated system comprising a wearable device and predictive algorithm for timely administration.

  • While wearable devices and at-home testing kits have grown in popularity, current consumer wellness tools are limited in scope, typically focusing on one or two isolated metrics (e.g., heart rate, sleep tracking, glucose). This lack of integrated biomarker monitoring prevents users from obtaining a holistic, real-time understanding of their health status.

  • The invention provides an AI-driven system and computer-implemented method designed to collect, fuse, interpret, and act upon multi-modal physiological data streams from various sensors. The core novelty resides in a complete, end-to-end closed-loop system that culminates in an automated, physical intervention, distinguishing it from prior art that relies on user interpretation and manual action.

  • The present invention overcomes the limitations of the prior art by providing a system and, critically, a computer-implemented method for real-time, adaptive modulation of the gut microbiome. The core inventive concept lies not in the individual hardware components (sensors, processors, delivery capsules), which are generally known, but in the novel computational process by which the system translates a complex, multi-modal stream of real-time biomarker data into a precise, adaptive, and therapeutically effective formulation output.

 Our Innovation - Agriculture

  • This invention relates to agricultural compositions and delivery systems comprising bioactive peptides applied exogenously to plants to regulate physiological responses including growth, yield, stress resistance, and nutrient uptake.

  • The present invention relates generally to the field of agricultural technology. More specifically, it pertains to novel compositions of matter comprising encapsulated agricultural peptides, wherein said compositions are specifically engineered with defined physical and electrical properties for enhanced delivery to plants via electrostatic spraying systems, and methods of use thereof.

  • The present invention relates to the field of precision agriculture. Specifically, it pertains to systems and methods for the pre-symptomatic detection of plant stress by monitoring the dynamics of electrochemical signals in the plant root zone and triggering automated interventions.

  • The present invention relates to agricultural biotechnology systems, and more specifically to a physically integrated, rapid-response system for in-field soil microbiome analysis, machine learning-based microbial consortium optimization, and precision delivery of personalized microbial treatments to agricultural fields.

  • The invention relates to systems and methods for the rapid deployment of cryopreserved, pre-grafted plant modules for agile agricultural intervention. More particularly, it pertains to integrated systems comprising cryopreserved, pre-grafted, and coated plant modules, methods for their high-efficacy thawing and application, and a supporting database for optimized selection and deployment.

  • The present invention pertains generally to the field of agricultural robotics. More specifically, it relates to a system of compact, autonomous ground vehicles and a method for their operation, wherein the vehicles are configured for navigation on the soil surface, beneath a crop canopy, and horizontally within the soil's root zone to perform precision agricultural tasks.

  • The invention pertains to precision agriculture and irrigation automation, particularly methods that integrate direct, multi-modal plant feedback and predictive analytics into irrigation control systems.

  • The invention pertains to carbon accounting and regenerative agriculture, specifically systems for high-resolution, on-site quantification of carbon content in soil for market-based credit generation.

  • The invention pertains generally to the field of digital and precision agriculture. More specifically, it relates to computer-implemented systems and methods for generating dynamic, real-time agronomic recommendations and control signals for automated farm equipment, using adaptive machine learning models that process integrated, heterogeneous data sources.

  • The invention pertains to agricultural postharvest technology, specifically the application of artificial intelligence to real-time perishability forecasting, product optimization, and automated logistics control.

  • The present invention relates generally to the fields of agricultural automation and supply chain management. More particularly, it pertains to an integrated system and computer-implemented method for the dynamic, value-based optimization of sorting, packaging, and routing of post-harvest agricultural produce using predictive analytics and real-time market data.

  • The invention pertains generally to the field of postharvest monitoring and agricultural technology. More specifically, it relates to systems and methods that use artificial intelligence, particularly recurrent neural networks, to process multi-modal sensor data to estimate and predict biochemical degradation and nutrient loss in perishable goods during storage and distribution.

  • The invention pertains to postharvest physiology and controlled-atmosphere storage, particularly the application of artificial intelligence to optimize the biochemical preservation of fresh produce.

  • The invention pertains to the fields of intelligent packaging, dynamic labeling, and predictive analytics for food supply chain management. More specifically, it relates to systems and methods that adapt post-harvest or post-production labeling information based on real-world product conditions as determined by a suite of sensors and processed by an artificial intelligence model.

 Our Innovation - Livestock

  • This invention relates to livestock management systems, specifically to automated systems that analyze gut microbiome composition in real-time and dynamically adjust feed formulations to optimize animal health, productivity, and yield through targeted microbiome manipulation.

  • This invention relates to livestock health and production management systems, specifically to predictive systems that anticipate stress events in livestock animals 12-72 hours before the onset of clinical symptoms and automatically implement proactive interventions to maintain optimal performance and prevent stress-related production losses.

  • This invention relates to the field of precision livestock farming and health management. Specifically, it pertains to integrated, closed-loop systems that acquire and process multi-modal biological data to predict health and longevity trajectories, and automatically implement targeted interventions to extend the productive lifespan of livestock animals.

  • This invention relates to environmental impact reduction systems for livestock operations, specifically to comprehensive systems that monitor, reduce, and utilize methane emissions from livestock through integrated microbiome management, precision feed supplementation, genetic selection, real-time monitoring, and methane capture technologies.

  • This invention relates to livestock microbiome management systems, specifically to targeted engineering of gut microbiome composition to reduce methane production through precision delivery of anti-methanogenic probiotics, selective inhibition of methane-producing bacteria, and promotion of alternative metabolic pathways for improved feed efficiency and reduced greenhouse gas emissions.

  • This invention relates to livestock feed optimization and environmental impact reduction systems, specifically to artificial intelligence-guided precision delivery of natural anti-methanogenic compounds tailored to individual animal gut chemistry, genetics, and metabolic characteristics for maximum methane reduction with minimal impact on digestion and performance.

  • The present invention relates to the fields of computational animal breeding and precision livestock farming. Specifically, it pertains to computer-implemented systems and methods for improving the accuracy of genomic selection by correcting for environmental variance in phenotypic data and for optimizing multi-trait breeding programs to balance environmental traits, such as methane emission, with production traits.

Contact us

Wellgineering operates by invitation only. Our recruitment process identifies exceptional talent through private channels, and collaboration opportunities are extended exclusively to organizations that share our commitment to breakthrough innovation.