The Room Had OpenAI, Meta, Microsoft, Google, NVIDIA and One Founder a few Months In
This photo is from September 10, 2024 - months into building RXS Meta Group, attending The AI Conference in San Francisco.
Honored to be there, side by side with AI experts and leaders from OpenAI, Meta, Microsoft, Google, NVIDIA, and the US Department of Defense - a room where the AI conversation was already moving past "which model" to "which governance."
The path there wasn't linear. After 29 years with Chevron across Asia Pacific, I took three years (2021–2023) away from corporate life to focus on my motorcycle riding passion and leading H.O.G. (Harley Owners Group) Manila Chapter. Out of that came Roxas Management Consultancy and Roxas SaaS Corporation - together, RXS Meta Group. Innovate with purpose. AI-driven. ESG-focused.
Today, that founding trip has grown into a portfolio of global AI-driven solutions built for enterprise reality, not demo-day hype.
KMS Lighthouse now governs the "single source of truth" problem for contact centers and field teams - the one where staff and customers get different answers to the same question, at scale.
Glem.ai gives Philippine enterprises a governed AI operating layer - model-agnostic, built for regulators who ask where the data actually sits.
ServeDeck replaces the spreadsheets and messaging groups that most buildings still run on with a real system of record - the proptech entry point that pays for itself before any smart-building capital program.
Corsight AI brings facial intelligence that sees an incident as it begins, not after it's already on camera - the first in its category certified to ISO/IEC 42001 for responsible AI.
ECO-OS turns ESG disclosure from an annual manual scramble into a system built for assurance from day one - because the Philippine SEC requirement for listed issuers is already live, not a future obligation.
Two years later, RXS Meta Group is trusted by embassies, trade missions, and world-class international partners because governance built in from day one is what boards, banks, and regulators actually ask for.
What's the biggest barrier you're seeing to real AI adoption in your organization - budget, talent, or trust in the technology itself?
