AI-powered test automation platform replacing legacy frameworks
Testsigma is an AI-agent-based test automation platform focused on web, mobile, desktop, and enterprise applications (Salesforce, SAP). The tech stack reveals a Java/Spring backend paired with React frontend, built around RAG for its Atto AI agent. The company is actively replacing Selenium and Playwright, signaling a shift away from code-heavy test suites toward agent-driven execution. Current hiring is balanced across engineering, product, and sales with a notable Performance Marketing Lead role, reflecting early-stage growth mode with emphasis on paid pipeline generation and conversion efficiency.
Notable leadership hires: Performance Marketing Lead
Testsigma builds an AI-agent-driven test automation platform designed to reduce manual QA work across web, mobile, desktop, API, and enterprise software. The core product—Atto—automates test planning, design, development, execution, and maintenance. The platform includes visual testing, accessibility testing, cross-browser and cross-device coverage, and integrates with 30+ tools via native connectors and custom app support. The company operates across North America and India, with nine open roles spread across engineering, product, sales, support, and marketing. Active projects show dual focus: deepening AI agent capabilities for production systems and scaling paid acquisition through full-funnel search, ABM, and BDR function development.
Java, Spring Boot, Spring Integration, and Spring Security power the backend; React, HTML5, and JavaScript handle the frontend. The platform uses RAG for its AI agent layer and integrates Salesforce, Jira, Confluence, and Looker Studio for workflows and analytics.
Current projects include AI agent surfaces for production systems, migration paths from legacy test suites, full-funnel paid search campaigns, LinkedIn ABM programs, and BDR playbook development. The team is also optimizing customer intake flows and onboarding speed.
Testsigma'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.