Drilling and completions data can be hard to visualize. Endla is changing that by combining physics-based simulation with machine learning to create a complete downhole picture and empowering E&Ps to improve the lifetime value of their wells.

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00:00 - Intro
00:30 - What does Inlytic do
01:10 - Inlytic platform overview
04:55 - Origin of Inlytic's idea
05:40 - Traditional methods of data analysis
07:40 - Overview of Y Combinator
09:47 - Y Combinator application process
11:32 - Ultimate goal for Enverus
12:46 - The Y Combinator experience
17:24 - Utilizing seed round capital
20:04 - Data sources used by Inlytic
22:15 - Importance of context in analysis
24:30 - Future plans for Deep Insight
27:25 - Size of the Deep Insight team
27:50 - Introduction to Inline
28:27 - Ideal customer profile for Inline

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Endla on Oil and Gas Startups