Saralam offers an AI-driven managed software testing service that automates the entire test lifecycle, including design, development, execution, and maintenance, achieving up to 90% in-sprint test automation. This service enhances software quality by providing rapid test case delivery, self-healing test scripts, and significant cost savings on QA budgets, allowing developers to focus on core application development.
Funding
Funding not disclosed
Founders
Product
Problem
Software testing is often a bottleneck in the development lifecycle, requiring significant time and resources for test design, execution, and maintenance. Traditional testing approaches struggle to keep pace with rapid development cycles, leading to delayed releases, increased bug counts, and higher QA costs.
Solution
Saralam offers an AI-powered managed software testing service that automates the entire testing lifecycle, from test plan creation to execution and maintenance. The service leverages proprietary computer vision and custom-trained, multi-modal generative AI models to achieve high levels of in-sprint test automation. By automating test case generation, providing self-healing test scripts, and offering a large test catalog, Saralam enables rapid test case delivery and comprehensive test coverage. The platform integrates with existing development workflows and is delivered as a cloud-based professional service.
Target Audience
Saralam's primary customers are software development teams and CTOs seeking to accelerate their testing cycles, improve software quality, and reduce QA costs.
Features
- AI-driven test design and development from mockups or existing applications
- Self-healing test scripts that automatically adapt to application changes
- Large test catalog and extensive test data for instant test coverage
- Support for functional, regression, end-to-end integration, mobile, web, and desktop application testing
- Cloud-based delivery for frictionless engagement
- AI-powered identification of corner cases and accessibility issues