meet the team
Gary Gayle
Chief Executive Officer
Gary Gayle is a systems builder focused on making advanced AI practical, reliable, and accountable in everyday environments.
With a background in Information Systems from Purdue University Global and more than 15 years of hands-on experience in appliance systems, he brings together operational discipline, applied engineering, and systems architecture to bridge physical infrastructure with intelligent software.
He founded Value Intelligence Solutions (ValueIO) to develop governed AI infrastructure for real-world environments — beginning with the home, where physical state, automation, user trust, and operational consequence intersect.
Rather than pursuing rapid scale through speculation, Gary builds methodically — validating architecture, strengthening reliability, and converting abstract AI governance principles into working systems that can be tested, observed, and improved.
His current initiatives include:
Smart-I-Shelf™ — a hardware-enabled smart shelving system designed as ValueIO’s initial go-to-market wedge and physical evidence layer. It captures real-world weight telemetry and shelf activity, introducing physical state awareness into AI-driven environments.
HomeSphere AI™ — an evolving IoT and agentic orchestration platform structured to unify device telemetry, intelligent automation, foundation model routing, and user oversight across smart appliances and connected environments.
R.E.T.N.A™ — a decision governance framework designed to evaluate, authorize, and document AI-assisted or agentic decisions before they become real-world actions. It focuses on governance boundaries, admissible evidence, reason-coded outcomes, and receipt-backed accountability.
A.R.M.S™ — an agent-coordination architecture exploring safe, transparent collaboration among specialized AI services, with emphasis on routing, cross-agent communication, operational reliability, and governed execution.
Together, these initiatives form the ValueIO Stack — a layered infrastructure approach that connects physical telemetry, agentic orchestration, and pre-execution decision governance. This work is evolving into what Gary describes as a Decision Infrastructure Stack for Autonomous Systems (D.I.S.A.S): a framework for governing how intelligent systems observe, decide, and act in environments where consequence matters.
Gary’s recent work has advanced from component-level prototyping into integrated proof. Smart-I-Shelf physical telemetry, HomeSphere AI agentic orchestration, and R.E.T.N.A decision governance now operate through a unified interactive dashboard that demonstrates live evidence capture, fused state formation, Central AI coordination, governance-bound execution status, pilot-readiness health monitoring, and controlled degradation or blocking under edge-case conditions.
His approach to innovation is steady and systems-oriented — building proof before promotion, validating assumptions through working prototypes, and collaborating with advisors, technical contributors, and early partners who prioritize reliability over hype. His focus remains consistent: to design AI infrastructure that earns trust through performance, evidence, governance, and disciplined execution.
He believes the long-term future of AI will not be defined by speed alone, but by integrity, governance, physical-world accountability, and responsible integration into daily life.
Dr. Shevan Howard
Chief Operation Officer
Dr. Shevan Howard is a visionary leader with over two decades of success in educational leadership and strategic operations. Known for driving innovation and achieving excellence in complex environments, he blends a deep understanding of technology with a passion for education.
As a champion for accessible and sustainable solutions, Dr. Howard leverages AI technology to create transformative impacts in learning and organizational effectiveness. His career is marked by a dedication to building strong, collaborative cultures and executing strategies with precision—qualities that continue to inspire the team at Value Intelligence Solutions.
Dr. Howard holds multiple academic credentials, including a degree in Decision and Information Science from the University of Florida and a Doctorate in Educational Leadership from Georgia State University. With expertise at the intersection of technology and education, he remains committed to advancing the integration of artificial intelligence to elevate educational outcomes.
Dr. Anis Zaman
Chief Technology Advisor
Dr. Anis Zaman is an experienced Applied Research Scientist and technical advisor with over six years of industry expertise across eBay, Snapchat, Microsoft Research, and early-stage startups. He specializes in applied machine learning, A/B experimentation, and search and ads optimization at scale.
With deep hands-on experience in building production-grade ML models, leading cross-functional initiatives, and mentoring research and engineering teams, Anis brings both strategic and technical insight into product and data science challenges.
He holds a Ph.D. in Computer Science from the University of Rochester and is passionate about translating cutting edge research into real-world impact through thoughtful experimentation, system design, and collaborative innovation.
GopalaKrishnan Karuppaiah
Chief Strategy & Capital Officer, CSCO
Gopalakrishnan K (Gopal) is an AI and product executive, entrepreneur, and strategic growth leader with experience driving business transformation across financial services, enterprise technology, and emerging AI platforms.
As CEO of TruBot AI and a former leader across organizations including Citigroup, Fidelity Investments, FIS, and BNY, he brings expertise in AI strategy, product innovation, capital investments, partnerships, fundraising readiness, and scalable operating models.
His focus is helping organizations align strategy, technology, and execution to accelerate growth, unlock new revenue opportunities, and build sustainable competitive advantage.