About Us
The Logical Approach to harness Innovation
Infologic was founded on a passion for research and development (R&D) and innovation management. Our journey began by supporting U.S. Defense RDT&E organizations, where we developed and refined innovation models over the course of fifteen years. Today, using the following mission and models, we apply this battle-tested, structured approach to help enterprises across all sectors harness the power of AI to achieve sustainable and impactful innovation.
Who Are We
Infologic specializes in AI-powered Research & Development (R&D) transformation. Our vision is to redefine the landscape of scientific discovery and commercialization by strategically applying artificial intelligence. We are dedicated to enabling organizations worldwide to dramatically accelerate their innovation cycles, significantly reduce operational costs, and unlock unprecedented value across the entire Technology Readiness Level (TRL) spectrum.
Our Mission
Our mission is to empower R&D organizations by providing cutting-edge AI consultancy, ensuring seamless integration of advanced AI solutions into existing workflows, delivering comprehensive workforce development programs, and fostering a vibrant, collaborative knowledge-sharing ecosystem through specialized niche conferences. This multi-faceted approach is designed to drive a new era of scientific breakthroughs and successful commercialization.
What We Do
We deliver a holistic, end-to-end approach to AI integration within R&D. By leveraging our proprietary frameworks, particularly the distinctive AI4R&D model, coupled with deep domain expertise, we provide the strategic guidance and hands-on integration necessary to deliver quantifiable improvements in R&D productivity, drastically reduce time-to-market for new products, and significantly enhance overall innovation output.
Infologic Models
Multimodal Innovation
While developing products, we need to move from the traditional Technology Management approach, which mainly concentrates on product Innovation and commercialization, to a multimodal Innovation management-based approach with four components.
Multimodal Innovation involves research and development into tangible products, services, processes, and business models. Innovation categories can be radical, disruptive, evolutionary, or integrative.
Value Creation
As shown in this CMMI-based model, Value creation in AI4R&D isn’t one-dimensional. We need to consider multiple perspectives. By leveraging AI across all these dimensions, we can ensure our R&D efforts are scientifically sound, commercially viable, and socially responsible.
The Strategic KPIs are related to Market share, Financial KPIs to ROI, Operational KPIs crucial to AI4R&D, and Societal KPIs to environmental impact.
