When Earth Meets AI — EnviTrace at the “El Sailon” event

EnviTrace recently participated in an "El Sailon" event hosted by RealmIQ in Santa Fe, NM as part of their AI salon discussion series. The "When Earth Meets AI" event, presented by EnviTrace's CTO Velimir "monty" Vesselinov invited the public to discuss how machine learning and physics-informed models can be applied to earth science problems — from subsurface characterization to environmental monitoring.

What we presented:

• A short demo of our latest workflows for integrating geoscience datasets and building interpretable, physics-aware models.
• An introduction on neural networks, decision trees, large language models, and the applications of physics-informed AI on current geoscience projects.
• Discussion of privacy-aware data sharing and open tooling to make results reproducible and usable by both researchers and practitioners.

Key takeaways:

• Practitioners value transparent, explainable models that can be traced back to physical inputs and assumptions.
• Data curation and standardized ingestion pipelines are often the biggest practical bottleneck before applying ML methods.
• Cross-disciplinary collaboration (domain scientists, ML engineers, and operators) accelerates adoption of AI in real projects.

Thanks and next steps:

Thanks to RealmIQ for hosting a well-organized event and to the attendees for constructive discussions and feedback.

If you attended and want to continue the conversation, or if you'd like a demo, please contact us. We're happy to share slides, code snippets, and follow-up demos tailored to your data and workflows.