September 1-3, 2026 • Caesars Forum • Las Vegas
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September 1-3, 2026 • Caesars Forum • Las Vegas
What is it?
AI Studio by eSmart Systems is a browser-based platform that enables users to build, deploy, and manage production-ready computer vision AI models — without any prior machine learning training. Powered by eSmart’s proprietary Adaptive AI technology, AI Studio lets users define what they’re looking for using just a handful of example images and deploy a working model immediately. No labeled datasets, no GPU clusters, no retraining cycles. The platform includes a Model Builder, a Model Garden with pre-built utility inspection models, and a drag-and-drop Pipeline Builder to combine detectors, classifiers, and adaptive models into end-to-end automated workflows.
Who is using it?
AI Studio is used by drone operators, inspection service providers, utility companies, and data scientists working in sectors including electric utility infrastructure, energy, telecommunications, and critical asset inspection. Primary job titles include drone data analysts, AI/ML engineers, inspection program managers, GIS specialists, and infrastructure asset managers—particularly those responsible for automating analysis of aerial imagery captured from UAVs and other platforms.
How is it making an Impact?
eSmart Systems has applied AI Studio’s Adaptive AI technology at scale across 70+ utility operators globally, supporting virtual inspection of over 300,000 km of transmission and distribution lines. Drone operators capturing aerial imagery of power poles, towers, and conductors currently face lengthy AI model development cycles. With AI Studio, inspection teams can define new defect categories from a small set of images and deploy production-ready classifiers in minutes. Validated against 6 published industry few-shot learning benchmark methods AI Studio achieves 98.8% classification accuracy with zero training time, outperforming all benchmarked methods and eliminating GPU training cycles that previously took up to two hours per model.
