TLS makes the Top 30 Software Innovators by Energize Capital in their 2025 Electrify Everything list.
Empowering Society Through Software and Subsurface Insight
We’re honored to share that TLS Geothermics has been named one of the Top 30 Software Innovators by Energize Capital in their 2025 Electrify Everything list.
This recognition matters to us not simply as an award, but as a signal that software-first teams are playing an increasingly important role in how energy systems evolve. As electrification accelerates across transportation, industry, and the built environment, the need for reliable, resilient, and intelligently planned power has never been greater.
At TLS, we believe geothermal energy has a critical role to play in that future. Not only because it provides always-on, low-carbon power, but because it does so with a small surface footprint and long operating life. Realizing that potential, however, depends on understanding the subsurface with far greater clarity than traditional approaches allow.
Why Software Matters in the Energy Transition
Electrification at scale introduces new pressures on infrastructure and grids. Meeting that demand requires energy sources that are dependable and capable of operating continuously, without relying on favorable weather conditions or extensive land use.
Software has become essential to making that possible. Advanced modeling, data integration, and machine learning now allow teams to evaluate complex geological systems earlier, reduce uncertainty, and make better decisions before capital is deployed. In geothermal development, this shift is particularly powerful, as early insights can significantly influence project viability.
What TLS Is Building
TLS Geothermics applies software-driven subsurface analysis to help identify geothermal systems that may not be obvious at the surface. By integrating geoscience data and modern computational tools, we aim to reduce exploration risk, shorten development timelines, and improve confidence ahead of drilling.
This approach supports more efficient project development while aligning with responsible resource stewardship. Better information upstream leads to better outcomes downstream, for developers, communities, and the energy system as a whole.
Entering a New Phase
Being recognized by Energize Capital comes at a meaningful moment for our team. In the coming months, TLS will advance from analysis and modeling into drilling and field validation. This transition represents a key inflection point, where subsurface predictions are tested, refined, and transformed into tangible progress.
Each well drilled strengthens our understanding of geothermal systems and enhances the value of our tools. As data moves from models to measurements, the feedback loop between software and fieldwork becomes even more powerful, reinforcing our ability to deliver reliable insights at scale.
A Collective Effort
Innovation is never the result of a single idea or organization. It grows from collaboration, shared curiosity, and a commitment to improving how things are done. We’re grateful to Energize Capital for recognizing the broader ecosystem of teams pushing electrification forward, and to everyone contributing to this year’s Electrify Everything list.
On a personal level, we believe progress is shaped by everyday choices, to innovate thoughtfully, collaborate openly, and lead with purpose. Recognition like this energizes our team and reinforces that we’re part of something larger than any one project.
We’re excited for what lies ahead and look forward to continuing the work of building a more resilient, electrified energy future together.
An Invitation to Engage
As subsurface exploration increasingly intersects with advances in computational capacity, we see growing opportunity to push beyond traditional geothermal workflows. TLS’s software stack is designed to take advantage of modern compute environments, integrating large, heterogeneous geoscience datasets, probabilistic modeling, and machine-learning–assisted interpretation to improve resolution and reduce uncertainty at scale.
For teams interested in how emerging computation, from high-performance processing to adaptive modeling frameworks, can materially improve geothermal exploration outcomes, we welcome the conversation. Whether the focus is early-stage resource assessment, exploration risk reduction, or bridging the gap between subsurface modeling and field validation, our team is actively engaging with partners who share a commitment to technically rigorous, forward-looking energy development.
If you’re exploring how software-driven subsurface intelligence can unlock new geothermal opportunities, we invite you to reach out and connect with us.
Geothermal Energy, Subsurface Modeling, Energy Software, Electrification, Clean Energy Infrastructure, Geothermal Exploration, Machine Learning in Geoscience, Low-Carbon Energy
Author – Rusty Muscarella
