Computer vision platform for utility infrastructure inspection and anomaly detection
Buzz Solutions applies PyTorch, OpenCV, and FastAPI to automate visual inspection of energy infrastructure via drone and helicopter imagery. The stack is purpose-built for ML: deep learning frameworks paired with scikit-learn and FastAPI for serving models at scale. Senior-heavy hiring (6 of 8 roles) in engineering signals they're scaling model development and deployment velocity, not yet sales-first growth.
Buzz Solutions builds a platform that automates infrastructure inspection for electric utilities using computer vision and machine learning. The product analyzes visual data from drones, helicopters, and field crews to detect equipment defects, thermal anomalies, and vegetation encroachment—work that traditionally required manual inspection teams. The platform handles data ingestion, analysis, collaboration, and export of inspection results. Buzz serves utility operators across the United States and is based in Palo Alto.
PyTorch, OpenCV, scikit-learn, FastAPI, React, Node.js, TypeScript, Python, Google Cloud, AWS, Azure, and Salesforce. Heavy on ML frameworks and cloud infrastructure.
Palo Alto, California. Founded in 2017; currently 11–50 employees.
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