AI-powered field inspection platform for utility grid operations
Treeswift builds hardware-software systems that merge backpack and vehicle-mounted sensors with AI analytics for utility field operations. The tech stack—LiDAR, C++, Python, Palantir, Kubernetes, MongoDB—reflects a hardware-forward company executing real-time computer vision and point-cloud processing at scale. Active projects span SLAM for GPS-degraded environments, multi-sensor fusion, and vegetation modeling, while the hiring mix (7 engineers, leadership roles in hardware) signals aggressive scaling of both sensor manufacturing and software infrastructure.
Notable leadership hires: Hardware Lead
Treeswift develops hardware-software platforms for utility companies performing grid inspections, vegetation management, asset surveys, and disaster response. The platform integrates portable sensors (backpack- and vehicle-mounted) that capture imagery, LiDAR, GPS, and voice data, then processes that data through AI models to surface actionable insights and field context via software. Founded in 2020 and based in Philadelphia, the company is backed by institutional investors and led by robotics and AI researchers. They operate at scale with multiple major U.S. utilities as customers and are actively expanding product lines and deployment footprint.
Treeswift's stack includes LiDAR, C++, Python, Kubernetes, Palantir, MongoDB, Oracle, Apache Airflow, and Stripe. The focus on LiDAR and C++ reflects heavy computation for sensor data processing and real-time field analytics.
Treeswift is based in Philadelphia, Pennsylvania. The company was founded in 2020 and is privately held, with all current hiring concentrated in the United States.
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