BrightAI builds sensor-to-AI systems for operators of critical infrastructure, with a stack spanning microcontrollers (nRF52, MSP430, Zephyr, FreeRTOS) through LLM tooling (LangChain, LlamaIndex, Pinecone) and drone autopilots (PX4, ArduPilot). Senior- and staff-heavy engineering hiring is accelerating around RAG troubleshooting assistants and on-device inference, while LiDAR adoption points to growing 3D reconstruction and mapping work.
BrightAI is a privately held company founded in 2019 and headquartered in Palo Alto, California, with 51–200 employees. It applies AI to physical operations, collecting and connecting real-time sensor data on its Stateful platform. Its offerings include predictive diagnostics, autonomous robotics, digital twins and AI-driven workflows. Target sectors include water, power, gas compression, pest control, HVAC and manufacturing. Hiring is concentrated in the United States.
BrightAI uses C++, Python, Zephyr, FreeRTOS and ARM Cortex-M for embedded work, PyTorch and OpenCV for ML, LangChain, LlamaIndex and Pinecone for RAG, plus ROS 2, PX4 and ArduPilot for robotics.
Current projects include RAG systems, AI assistants for industrial troubleshooting, document ingestion and semantic search, edge systems, on-device dialog pipelines and hardware-software integration for autonomous robotics.
Yes. Hiring is accelerating and centered on engineering, skewed toward senior and staff levels, with a smaller product component, all in the United States.
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BrightAI's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
