Greg Fallon

Join Jared S. Taylor for the latest episode of the Slice of Technology AI podcast, created in collaboration with HumanX. This week's guest is Greg Fallon, CEO at Geminus.

Key Highlights

• From Simulations to AI Integration: Greg Fallon’s journey from mechanical engineering to co-founding Geminus highlights a lifelong pursuit of simulating the physical world using evolving technologies.
• Industrial Decision-Making Reinvented: Geminus helps engineers make faster, smarter decisions by combining real and synthetic data in powerful AI models.
• Real-World Success in Oil & Gas: A recent deployment in the Northwestern U.S. reduced methane flaring while boosting natural gas production, showing tangible business and environmental impact.
• Cross-Industry Applications: Beyond oil and gas, Geminus is applying its solutions to electricity grids, satellite management, and defense sectors—wherever physics and decision complexity intersect.
• Scalable Enterprise Vision: Fallon outlines a future where AI models are connected across entire enterprises—and even countries—to optimize decision-making on a massive scale.

Greg Fallon's Path to Geminus

Greg Fallon, CEO of Geminus, brings decades of experience in engineering and simulation. Starting his career in the 1990s with Fluent, a startup focused on high-fidelity industrial simulations, he later joined ANSYS, which became a simulation powerhouse. His fascination with modeling the physical world eventually led him to co-found Geminus alongside Karthik Durasani, blending deep learning with traditional simulation tools.

What Geminus Does

At its core, Geminus uses AI to empower industrial decision-making. Many engineering decisions rely heavily on personal expertise due to complex, evolving systems and scattered data. Geminus addresses this by combining real-world sensor data with synthetic simulation data, creating AI models that suggest optimal decisions in real time.

One compelling example comes from the oil and gas industry. In the Northwestern U.S., Geminus helped a company optimize natural gas flow from hundreds of wells through a vast pipeline network. Previously, mismanagement led to methane flaring—a loss in revenue and an environmental hazard. Geminus’ AI models now guide operators instantly, preventing flaring and increasing production.

Applications Beyond Oil and Gas

The potential goes far beyond hydrocarbons. In power grids near data centers, Geminus is applying AI to balance dynamic electricity flow and ensure reliability. In defense, AI models assess satellite maneuver risks amidst congested orbits. In all cases, the goal remains the same: combine data and physics to make complex systems smarter.

AI's Trajectory in Industry

Fallon believes we're in the early stages of AI’s industrial revolution. While consumer AI gets the spotlight, enterprise adoption is just beginning. His approach? Deliver real, incremental value—fast. By solving problems within three weeks, Geminus avoids the trap of overhyping future capabilities and focuses on consistent, measurable impact.

What's Next for Geminus

Looking ahead, Geminus aims to scale vertically and horizontally. Fallon envisions linking AI models across interconnected systems—from individual assets to enterprise-wide operations, and even national infrastructures. This integrated view could redefine how energy and industrial networks are managed at every level.

As AI continues to evolve, companies like Geminus are proving that real-world, physics-based applications aren't just possible—they're already transforming industries.