AiDASH Tech Stack

Satellite AI for vegetation risk and grid resilience in utilities

Software Development Palo Alto, California 201–500 employees Founded 2019 Privately Held

AiDASH builds AI and satellite imagery pipelines for electric utilities to detect vegetation threats and wildfire risk. The stack reveals a mature ML ops orientation: Spark + Airflow for batch processing, Snowflake + Redshift for analytics, and dual adoption of MLflow and Weights & Biases for experiment tracking. Engineering-heavy hiring (22 open roles) paired with active projects around ML deployment, biodiversity monitoring, and field operations suggests AiDASH is scaling both model infrastructure and operational workflows to serve 140+ utility customers at production scale.

Tech Stack 68 technologies

Core StackJava Kotlin Flutter Python Apache Spark Apache Airflow Snowflake PostgreSQL MySQL MongoDB AWS Docker Kubernetes Cursor Redshift Iceberg Jira Smartsheet Power BI Tableau Figma React Android Jetpack Android SDK pytest Aurora Amazon Aurora Microsoft Project HTML5+37 more

AdoptingMLflow Weights & Biases

What AiDASH Is Building

◆Challenges

Improving grid reliability
Cost and schedule performance optimization
Minimizing storm impacts
Reducing wildfire risk
Reducing costs
Mitigating wildfire risk
Scaling and securing infrastructure
Accelerating throughput
Enhancing customer delivery quality
Optimizing field ecology resource allocation

▲Active Projects

Batch processing of satellite and aerial imagery pipelines
Deploy ml models on aws
Monitoring biodiversity trends
Ground verification of ai and satellite-powered biodiversity net gain assessments
Bngai product
Field operations scheduling and capacity planning
Pmo implementation
Implement mlflow for experiment tracking
Cris
Ivms

Hiring Activity

Accelerating50 roles · 20 in 30d

Department

Engineering

Ops

Data

Product

Support

Seniority

Senior

Mid

Staff

Director

Junior

Manager

Lead

Principal

Notable leadership hires: Engineering Director

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About AiDASH

AiDASH is an enterprise AI company serving electric utilities with vegetation risk intelligence and grid inspection powered by satellite imagery and proprietary machine learning. The company operates a SaaS platform that identifies vegetation and weather threats to utility infrastructure, helping customers reduce wildfire risk, improve grid reliability, and lower operational costs. Founded in 2019, AiDASH employs 201–500 people from Palo Alto and is actively hiring across engineering, data, product, and operations in the United States and India. The product combines satellite and aerial imagery processing with ground verification workflows and field scheduling tools.

HeadquartersPalo Alto, California

Company Size201–500 employees

Founded2019

Hiring MarketsIndia, United States

Frequently Asked Questions

What is AiDASH's tech stack?

AiDASH uses Java, Kotlin, Python, Apache Spark, and Airflow for data pipelines; Snowflake and Redshift for analytics; PostgreSQL, MySQL, and MongoDB for storage; AWS infrastructure with Docker and Kubernetes; and React for frontend. Recently adopting MLflow and Weights & Biases for ML experiment tracking.

How many utilities does AiDASH serve?

AiDASH serves more than 140 electric utilities with its vegetation risk intelligence and grid inspection platform.