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Ategrity Specialty Insurance Company Tech Stack

Specialty insurance platform for excess & surplus lines underwriting

Insurance New York, NY 51–200 employees Founded 2018 Privately Held

Ategrity operates a Microsoft Azure and .NET-backed underwriting platform for excess & surplus insurance, with a front-end stack spanning React, Vue, and Angular. The tech mix—Workiva for regulatory reporting, Power BI for analytics, plus heavy investment in compliance tooling (Azure Key Vault, Entra)—reflects the operational reality: a 51–200-person insurer navigating public company reporting, statutory compliance, and claims processing. Active hiring across finance, insurance operations, and claims (10 of 15 roles) signals scaling of underwriting and back-office capacity, while projects target partner relationships, close automation, and statutory reporting—areas where the company is actively closing operational gaps.

Tech Stack 29 technologies

Core StackPower BI SQL Server React Vue Angular TypeScript Vite Webpack Postman Cursor Python .NET C# AWS Workiva Azure Azure Front Door Azure Entra Azure Key Vault Azure Monitor Adobe Acrobat Rollup TanStack Query SWR Azure Entra ID VBA NUnit xUnit Blazor

What Ategrity Specialty Insurance Company Is Building

Challenges

  • Achieving profitability goals
  • Public company reporting compliance
  • Infrastructure refresh
  • Operationalizing technical underwriting
  • Improving partner satisfaction
  • External audit process
  • Improving data accuracy and efficiency
  • Implementing new u.s. gaap requirements
  • Reducing claim processing time
  • Growing profitable property insurance portfolio

Active Projects

  • Enhance existing general agent relationships
  • Partner satisfaction improvement program
  • Growth strategy development initiative
  • Marketing plan for new business opportunities
  • Broker relationship enhancement
  • Financial planning tools and reporting automation
  • Company-wide budgeting activities
  • Enhancing close process automation
  • Improving statutory reporting processes
  • Disaster recovery initiatives

Hiring Activity

Accelerating15 roles · 15 in 30d

Department

Finance
5
Insurance
3
Claims
2
Engineering
2
Ops
1
Sales
1
Support
1

Seniority

Mid
7
Senior
4
Manager
2
Junior
1
Lead
1
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About Ategrity Specialty Insurance Company

Ategrity is a specialty insurance carrier focused on excess & surplus lines underwriting, headquartered in New York. The company serves brokers and agents through a technology-enabled underwriting platform that integrates claims processing, financial reporting, and agent relationship management. Founded in 2018, Ategrity operates across the United States, Canada, and India. Current operational priorities include automating the close and claims processes, improving data accuracy across underwriting decisions, implementing new accounting standards, and expanding the profitable property insurance portfolio. The company is actively hiring across underwriting, claims, and finance functions, indicating ongoing operational scale-up.

HeadquartersNew York, NY
Company Size51–200 employees
Founded2018
Hiring MarketsCanada, United States, India

Frequently Asked Questions

What tech stack does Ategrity use?

Ategrity runs on Microsoft Azure infrastructure with .NET and C# backends, React/Vue/Angular frontends, SQL Server databases, and Workiva for regulatory reporting. The stack also includes Power BI for analytics and Azure security tools (Entra, Key Vault, Front Door).

Where is Ategrity headquartered?

Ategrity is headquartered in New York, NY. The company was founded in 2018 and operates as a privately held specialty insurance carrier.

How this profile is built

Ategrity Specialty Insurance Company'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.