Satellite and AI-driven vegetation risk monitoring for electric utilities
AiDASH builds satellite-based grid inspection software that helps electric utilities spot vegetation threats before they cause outages or wildfires. Its multi-cloud footprint (AWS, Azure, GCP) plus Kubernetes, Terraform and AWS Bedrock, alongside open pains around satellite imagery ingestion and ML inference SLOs, points to an infrastructure team scaling heavy geospatial workloads. Hiring is accelerating across India and the US, led by engineering and data.
AiDASH is a privately held enterprise AI company founded in 2019 and headquartered in Palo Alto, California. It sells a remote grid inspection and monitoring platform to electric utilities, using satellite imagery and proprietary vegetation models to flag risks to power lines. The company positions its product around wildfire mitigation, storm readiness, reliability and lower utility liability. It reports serving more than 140 utilities and employs 201–500 people, with hiring activity in the United States and India.
AiDASH uses Python, Java, React and TypeScript on AWS, Azure and GCP, with Kubernetes, Helm, Terraform, Prometheus, Grafana, PostgreSQL, MongoDB, Elasticsearch, AWS Bedrock and QGIS for geospatial work.
Job posts point to complex utility customer integrations, habitat mapping, LLM-based internal ops tooling, disaster recovery implementation, platform extensions for investor-owned utilities and AI-accelerated annotation workflows.
AiDASH is headquartered in Palo Alto, California and hires in the United States and India, with recent demand concentrated in engineering and data roles.
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AiDASH'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.