Build Enterprise Scale Artificial Intelligence & Machine Learning Solutions 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 - The Team
Rahul Kulkarni, Director - AI Engineering
A Forward Deployed Engineering Leader with 15+ years of experience in delivering enterprise-wide innovation across large-scale, complex AI & ML Ecosystems, Digital Platforms, and Cloud-native architectures, leading multi-million dollar transformation portfolios for Fortune 500 clients to deliver measurable revenue growth, operational efficiencies, cost reduction and customer success through enterprise-wide AI adoption.
Rahul leads globally distributed teams to deliver production-ready AI systems that drive measurable business impact and tangible return on investments (ROI). As a trusted advisor to senior leadershhip, he defines and executes AI strategy while architecting scalable, cloud-native solutions across Agentic AI, Generative AI, LLM, Computer Vision, and Data Platforms.
Shilpa Kanchan, Director - AI Transformation
A seasoned AI Transformation Leader with a strong track record of 15+ years in designing and scaling cloud-native operating models, optimising technology spend, and modernising enterprise platforms to support AI-driven transformation.
Over the past decade, Shilpa has led complex, multi-vendor global programmes, embedding lean operating frameworks and building resilient, high-performance environments capable of supporting advanced analytics, automation, and AI workloads. Shilpa specialises in aligning engineering, service design, and operational excellence to accelerate innovation while maintaining governance, scalability, and cost discipline.