AiDASH Tech Stack

AI-powered vegetation risk intelligence for electric utilities

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

AiDASH builds satellite-based grid monitoring software for utilities to prevent wildfire and storm damage. The stack reveals a data-intensive, infrastructure-heavy architecture: Apache Spark + Airflow orchestrating petabyte-scale satellite imagery, Snowflake + PostgreSQL for analytics, with containerized services (Docker, Kubernetes) deployed across AWS/Azure/GCP. Product and sales hiring outpace engineering—a go-to-market signal in a vertical SaaS play—while active projects around 'vegetation management workflow' and 'climate risk intelligence' suggest the platform is consolidating discrete utilities' inspection capabilities into a unified predictive layer.

Tech Stack 64 technologies

Core StackJenkins GitLab CI/CD Docker Kubernetes Prometheus Grafana Elasticsearch Terraform Ansible CloudFormation Python Salesforce AWS Java Kotlin Flutter Apache Spark Apache Airflow Snowflake PostgreSQL MySQL MongoDB Bash LinkedIn Sales Navigator Azure GCP Android Jetpack Android SDK pytest+32 more

AdoptingSLSA

What AiDASH Is Building

◆Challenges

Reducing wildfire risk
Minimizing storm impacts
Grid reliability
Scaling analytics delivery
Consistency of analytical outputs
Scaling and securing infrastructure
Compliance with biodiversity net gain mandates
Meeting carbon capture goals
Accelerating growth in uk market
Scaling bd function

▲Active Projects

Scalable repeatable solutions platform power
Vegetation management workflow
Climate risk intelligence
Asset inspection & monitoring
Aidash 2026 product stack rebuild
Scaling analytics delivery
Aims
Ivms
Cris
Cold call outreach

Hiring Activity

Accelerating15 roles · 10 in 30d

Department

Product

Sales

Engineering

Support

Data

Security

Seniority

Senior

Junior

Staff

Manager

Mid

Principal

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About AiDASH

AiDASH is an enterprise AI company serving electric utilities with a SatelliteFirst grid inspection and risk prediction platform. The product uses proprietary computer vision and machine learning to identify vegetation and infrastructure threats from satellite imagery, enabling utilities to shift from reactive tree-trimming to preventive grid hardening. The company operates across the United States, United Kingdom, and India; serves more than 140 utilities; and competes in critical infrastructure software where downtime and fire liability drive procurement. Operationally, the platform is built on modern cloud infrastructure (AWS, Azure, GCP) with data pipelines (Spark, Airflow, Snowflake) designed to ingest and analyze imagery at scale.

HeadquartersPalo Alto, California

Company Size201–500 employees

Founded2019

Hiring MarketsIndia, United States, United Kingdom

Frequently Asked Questions

What tech stack does AiDASH use?

Apache Spark, Airflow, Snowflake, PostgreSQL, and MongoDB for data; Docker, Kubernetes, Terraform for infrastructure; Python, Java, Kotlin for applications; deployed on AWS, Azure, and GCP with GitLab CI/CD and Jenkins for automation.

What countries does AiDASH operate in?

AiDASH is headquartered in Palo Alto, California and actively hiring in the United States, United Kingdom, and India, with stated focus on accelerating UK market growth.

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How this profile is built

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.