SaaS platform for infrastructure damage prevention and 811 ticket management
Irth operates a SaaS platform serving energy, utility, telecom, and municipality operators managing critical network infrastructure — specifically 811 tickets, land rights, and damage prevention. The tech stack reveals a hybrid cloud-native architecture: C# and .NET Core on Azure for application workloads, paired with a unified Databricks lakehouse (Delta Lake, Delta Live Tables, Purview) for analytics and risk modeling. Active projects center on integrating a recent acquisition (Borealis) into this data layer, building product analytics and KPI dashboards, and scaling adoption — suggesting the company is moving from point solution toward a consolidated platform.
Irth provides field service management and asset protection software for organizations that operate critical network infrastructure. The platform handles 811 damage-prevention tickets, land-rights management, and risk intelligence across energy utilities, gas utilities, electric utilities, municipalities, contract locators, and telecom/media companies. Founded in 1985, the company has accumulated three decades of domain expertise and continues to expand its product offerings. The company operates in the United States and India, with headquarters in Columbus, Ohio.
Backend: C#, .NET Core, NET MAUI. Cloud infrastructure: Azure (DevOps, Application Insights, Data Factory, Kubernetes Service, Resource Manager, Bicep). Data: Databricks with Delta Lake, Delta Live Tables, Purview. Supporting: GraphQL, Postman, Terraform, AWS Glue, Apache Airflow, Spark/PySpark.
Columbus, Ohio. The company was founded in 1985 and employs 51–200 people, with hiring activity in the United States and India.
Irth'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.