
Edgetensor delivers an edge-based AI SDK that enables real-time analytics on vehicles and other devices to improve safety and operational efficiency. The company combines on-device machine learning models and real-time video/telemetry analytics with a cloud backend, and its SDK is compatible with a wide range of hardware and camera systems. It is positioned as a B2B SaaS/SDK provider serving fleet operators and mobility services through an AI-driven fleet management dashboard and on-device inference. Edgetensor’s stack emphasizes low-latency inference, camera integration, and cloud connectivity to support large-scale fleet deployments and drive operational insights.

Edgetensor delivers an edge-based AI SDK that enables real-time analytics on vehicles and other devices to improve safety and operational efficiency. The company combines on-device machine learning models and real-time video/telemetry analytics with a cloud backend, and its SDK is compatible with a wide range of hardware and camera systems. It is positioned as a B2B SaaS/SDK provider serving fleet operators and mobility services through an AI-driven fleet management dashboard and on-device inference. Edgetensor’s stack emphasizes low-latency inference, camera integration, and cloud connectivity to support large-scale fleet deployments and drive operational insights.
What they do: Edge-based AI SDK for real-time, on-device analytics (video + telemetry) targeted at fleet and mobility operators.
Location & founding: Headquartered in Plano, Texas; founded March 1, 2018.
Founders / leadership: Rajesh Narasimha (CEO & Co‑Founder) and Soumitry Ray (CTO & Co‑Founder).
Latest funding: Series A on Mar 9, 2021 (lead investor: 3Lines); earlier rounds include seed rounds and an NSF SBIR/STTR grant.
Investors: 3Lines; NSF Small Business Innovation Research / Small Business Technology Transfer (SBIR/STTR); SRI Capital; Aristos Ventures.
Edge AI for real-time video and telemetry analytics focused on fleet safety and operational efficiency.
Data and Analytics
“Backed by early-stage VC and a government SBIR/STTR grant (3Lines; NSF SBIR/STTR; SRI Capital; Aristos Ventures).”