Build Artificial Neural Networks with Confidence
Leap2X is on a mission to make deep learning more understandable, accessible, and most importantly—reliable. By bringing transparency to neural networks, we empower data scientists with the confidence that the models they build will perform reliably in production.
As pioneers in demystifying the “black box” of neural networks, Leap2X is proud to be the first company to offer true transparency in deep learning. Our platform helps a diverse range of industries leverage the power of deep learning to tackle their most complex challenges.

Why Leap2X?
Leap2X is revolutionizing the deep learning landscape by making neural networks more understandable and reliable. By introducing transparency, we help data scientists confidently deploy models that perform reliably in real-world applications.
We’re breaking open the “black box” of neural networks, offering unprecedented visibility into how models operate. Our platform empowers data scientists across industries to harness the full potential of deep learning and solve their toughest problems with confidence.
- Unmatched Debugging and Explainability: Leap2X is the only platform specifically designed to provide advanced debugging and explainability for neural networks. By eliminating uncertainty, we help data scientists reduce the risk of model failures in production.
- Innovative Interpretability Techniques: With cutting-edge interpretability and explainability features, Leap2X transforms how neural networks are developed. This platform enables teams to debug, validate, and optimize models efficiently, while cutting down on development cycles and significantly shortening time to market.
- Minimize Model Failures: The potential consequences of model failures in production are significant. Understanding how your model interprets data is critical for ensuring reliability and accuracy in real-world applications.
Leap2X Founders

Rahul Kulkarni, Founder & CTO
A seasoned technology executive with over 20 years of experience in the global software industry, Rahul has led innovative teams across a variety of sectors including networking, cloud computing, and deep learning. His leadership spans both start-ups and established companies, where he has driven breakthrough solutions.

James Finn, CPO
A self-taught data scientist and gifted communicator, James is a machine learning and deep learning expert with extensive hands-on experience in neural network development. Before co-founding Leap2X, James led AI and Big Data projects from research to production for several startups and developed machine learning algorithms for Financial Services.