Wellgineering Incubation Submission – Dig Deep This Isn’t Summer Band Camp…

  1. Founder name(s) and LinkedIn profile(s):

  2. What inspired you to start this company?

  3. One-sentence elevator pitch:

  4. What is your core product or technology?

  5. What scientific, technical, or IP advantage does your product have?

  6. What stage are you currently in? (e.g., idea, prototype, in-market, revenue-generating)

  7. What market(s) are you targeting and what unmet need are you solving?

  8. Who are your key competitors and how are you different?

  9. Have you raised any capital to date? If so, how much and from whom?

  10. What are your top 3 goals for incubation, and how can Wellgineering help?

Incubated Technologies & Systems

  • Fully Adaptive Smart Landing Page System for Real-Time, AI-Driven Content Generation, Personalization, and Performance Optimization

  • Provided herein are system, apparatus, device, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for securely processing transactions involving HSA/FSA accounts and LMNs. The technique allows a user to initiate a transaction, generate a LMN, and complete the transaction using an HSA/FSA account while maintaining computer and network security throughout.

  • The present invention relates generally to the field of computer-implemented medical systems. More specifically, it pertains to an artificial intelligence (AI) based system and method for the autonomous generation of medical prescriptions, including dynamic, risk-adjusted dosage determination, and a compliant oversight framework.

  • The present invention provides a system and method for generating clinically-justified prescription recommendations that overcomes the limitations of the prior art. The invention is a specific, integrated architecture that improves a computer's function as a safe and transparent clinical tool. It is not merely an abstract idea of automating a prescription, but a concrete technical implementation that solves technical problems inherent to deploying AI in a high-stakes, regulated clinical setting.

  • The present invention provides an intelligent clinical decision support system that overcomes the limitations of the prior art by introducing a novel system architecture that functionally integrates multimodal data analysis, neuro-symbolic reasoning, and reinforcement learning-based treatment optimization.

  • The invention provides a system and method for AI-generated patient communication prior to prescription. It comprises a dialogue engine that explains AI-generated drug recommendations, including dose, risks, benefits, and alternatives; an interaction interface for patients to ask questions and receive clarifications; a consent module where patients can confirm or reject treatment proposals; and a provider review system that logs patient responses before final prescription authorization. The system creates a verifiable, immutable record of the informed consent dialogue, addressing key challenges in the digitalization of the patient consent process.

  • The present invention provides a system and method for generating prescription recommendations that are optimized for clinical efficacy, insurance affordability, and administrative simplicity. The invention is distinguished from the prior art by its ability to compute a novel data element—a predictive administrative burden score—and integrate this score into a multi-factor ranking engine

  • The invention provides a novel technical framework and a compliance-aware, physician-augmentation platform for managing AI-generated prescription decisions within a telemedicine environment. The system is architected to allow licensed providers to asynchronously or synchronously review, approve, or override AI-generated recommendations in a manner that is secure, efficient, and highly auditable.

  • The present invention provides a system and method for dynamically generating a patient intake questionnaire. The invention overcomes the limitations of prior art by employing a unique computational engine that selects the most diagnostically relevant question at each step of a patient interaction. Instead of following a rigid script or a simple branching tree, the system maintains and continuously updates a probabilistic model of potential diagnoses based on the patient's answers.

  • The present invention provides a computer-implemented system and method for an AI-powered clinical intake engine that overcomes the limitations of prior art systems. The invention is designed to be a practical application that provides a technical solution to the technical problem of creating dynamically adaptive, evidence-based, and trustworthy computer systems for clinical intake.

Wellgineering Founder, Foster Coulson

“My grandfather used to say, ‘We’ll never outspend our competitors—but we’ll outthink them, outwork them, and outlast every single one.’ That mindset shaped me early and it’s baked into every company I build. We don’t rely on hype. We build with discipline. We move with speed and precision. If you want to succeed in this environment, you better be ready to grind—hard—every day. Not just for attention, but for excellence. That’s what separates the ones who flash from the ones who last.”