Welz, Gary | Application Preview
Gary Welz's grant application seeks funding to advance an AI-driven platform designed to support scientific research. The requested funds will be used for personnel, cloud infrastructure, data management, software development, and pilot studies to validate the tools and prepare for larger-scale federal research proposals.
The company aims to grow steadily over five years by expanding their AI's capabilities, onboarding early users, offering subscription and grant-backed services, and forming partnerships with research and science organizations. The focus is on sustainable growth aligned with the academic and research community, rather than fast commercialization.
The application highlights a strong need for tools that apply AI in practical, transparent ways to assist scientific work. The team brings both domain expertise and hands-on technical skills, with a strong emphasis on reproducibility and integration into real research workflows.
Unlike general-purpose AI platforms or narrowly focused research tools, Welz’s project positions AI as a true research collaborator across disciplines. The platform aims to deliver structured, research-friendly outputs instead of convenience-oriented automation, setting it apart in a space where few solutions fully address the complexity of scientific inquiry.
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General Information
Business Registration Number: 017240183
Location: New York, NY, United States
Length of Operation: 1-5
Number of Employees: 1-10 Employees
Annual Gross Income: Less than $100k
Annual Gross Expense: Less than $100k
Open to Loans: YES
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Funding Usage
The requested funds will support the development and testing of AI-driven tools for scientific research, including personnel time, cloud computing resources, data curation, software development, and dissemination of results. Funds will also support limited pilot studies to validate the approach and prepare for larger federal research proposals.
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Business Plan
Over the next five years, we plan to grow by incrementally expanding our AI-driven research platform from a prototype into a scalable service used by researchers, educators, and science-focused organizations. Growth will focus on: 1) expanding core AI capabilities and automation, 2) onboarding early institutional and individual users, 3) developing subscription-based and grant-supported offerings, and 4) forming partnerships with academic, research, and science-communication organizations. Our approach emphasizes sustainable, research-aligned growth rather than rapid commercialization. This project addresses a clear and growing need: applying AI in ways that meaningfully support scientific research, interpretation, and dissemination. We combine deep domain knowledge with hands-on technical implementation, allowing us to build practical tools rather than speculative concepts. Funding will accelerate development at a critical early stage, enabling us to move from proof-of-concept to a robust, scalable platform with strong long-term impact in AI-enabled science.
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Self Identified Competition
Our competitors are not direct equivalents but include: 1) general-purpose AI platforms that are not specialized for scientific workflows, 2) traditional research software tools that lack integrated AI capabilities, and 3) emerging AI-science startups that focus narrowly on single domains rather than cross-disciplinary research support. These alternatives typically address only part of the problem we are solving. We focus specifically on AI as a research collaborator rather than a generic content or analytics tool. Our approach emphasizes transparency, reproducibility, and integration with real scientific workflows. Unlike many competitors, we prioritize scientific reasoning, structured outputs, and long-term research usability over short-term automation or marketing-driven features.
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Contact Applicant
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