Texas A&M engineering graduates Yazan and Eugen are leveraging AI and advanced technology to modernize outdated processes, particularly in land acquisition and title work within the energy industry. Their career paths took unexpected turns, shifting from premed and engineering to founding Ionian Labs, where they tackle the industry's reliance on old software systems. Their AI-powered solutions streamline data entry and document analysis, reducing errors and saving time. They also address the broader challenges of digitizing data in the energy sector and explore the potential for multi-modal AI models to transform operations. With a startup mindset focused on rapid prototyping, Ionian Labs is driving ongoing innovation in the field.

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00:00 - Intro
00:30 - Yazan and Eugene’s Backgrounds
04:00 - What is IONIAN Labs
07:15 - How IONIAN Labs Came About
11:00 - IONIAN Labs Tech Stack Overview
14:55 - Challenges with Land Descriptions
19:18 - IONIAN Labs Tech Stack Overview
27:46 - Lessons Learned and What to Change
28:04 - Collide's Current Journey
28:51 - Customer Feedback Insights
32:10 - Data Sources for IONIAN Labs
34:48 - Architectural Framework
38:40 - Startup Masochism Explained
39:44 - Fine Tuning Machine Learning Models
45:54 - Identifying Your Customers
47:28 - Future Plans for IONIAN Labs
52:24 - Speed Round Discussion
55:36 - Where to Find Ionian Labs

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