What we are building
A decision layer that combines forecasts, local observations, environmental signals, learned correction patterns, and AI guidance.
About WyndIQ
WyndIQ is being built for organizations whose work is exposed to heat, wind, dust, storms, local forecast uncertainty, and operational disruption.
A decision layer that combines forecasts, local observations, environmental signals, learned correction patterns, and AI guidance.
Energy, construction, utilities, municipalities, logistics, public safety, and field operations teams.
Weather risk is local, dynamic, and operational. WyndIQ helps teams move from checking dashboards to making better decisions.
Team
WyndIQ is founder-led and product-focused, with a practical bias toward systems that help teams act under environmental uncertainty.
Founder
Vincent founded WyndIQ to build practical AI that turns environmental uncertainty into better operational decisions. His background spans identity security, AI systems, operational risk, and weather intelligence development.
Lead Software Developer
Paul leads software development for WyndIQ, helping translate the platform vision into reliable product architecture, data-driven interfaces, and decision intelligence workflows.