QASource is a software QA and testing services company headquartered in the San Francisco Bay Area. Founded in 2000, it provides dedicated quality engineers and AI-driven quality engineering services that work as an extension of client engineering teams. Its delivery model combines U.S.-based customer success with engineering teams in India and Mexico, giving customers flexible offshore and nearshore support.
QASource focuses on outsourced quality engineering for modern software teams that need faster release cycles without sacrificing reliability. Its portfolio spans test automation, API, mobile, Salesforce, security, blockchain, and cloud-based application testing, alongside newer AI services such as AI agent development, AI feature engineering, and RAG application development. QASource positions itself as a service-led partner rather than a software licensing vendor, emphasizing customer ownership of test assets, human oversight, and close integration with existing development workflows.
Offerings, Capabilities, and Integrations
QASource combines traditional QA methods with AI-augmented delivery to support software validation across web, mobile, API, desktop, database, cloud, and AI-enabled applications. Its teams provide functional, regression, integration, performance, compatibility, usability, compliance, and security-oriented testing, with engagement models that can scale up or down based on release volume and product complexity.
The company is tool-agnostic and built to fit into client delivery environments rather than replace them. QASource works with common engineering and QA systems such as Jira, TestRail, SharePoint, Confluence, GitHub, Bitbucket, Jenkins, CircleCI, TeamCity, and Azure DevOps, and it supports CI/CD-driven workflows. Its AI-driven approach adds capabilities such as intelligent test case generation, self-healing automation, test optimization, AI-assisted reporting, and human-in-the-loop review to keep automation durable as applications change.
Products and Services
- QASource Intelligence: A proprietary AI-powered testing service used by QASource engineers to generate test cases, automate execution, optimize coverage, and provide AI-assisted reporting with human oversight.
- Test Automation Services: Automation services for functional, regression, UI, API, cross-browser, and data-driven testing, designed to integrate with client frameworks and CI/CD pipelines.
- API Testing Services: Traditional and AI-augmented API testing focused on reliability, security, authentication, dependency validation, and automated coverage for modern service architectures.
- Mobile App Testing Services: End-to-end mobile QA for iOS, Android, hybrid, and cross-platform apps using real devices, automation, CI/CD integration, and security and performance validation.
- Salesforce Testing Services: Testing services for Salesforce environments, including Classic and Lightning, with coverage for functional workflows, automation, APIs, and release validation.
- Security Testing Services: Cybersecurity testing that combines automated scanning with expert assessment, vulnerability analysis, remediation guidance, and verification of fixes.
- AI-augmented Test Automation: A managed, pipeline-native automation service that uses AI for faster test creation, self-healing, and reduced maintenance while keeping test assets in the client’s repositories.
- AI Agent Application Development: Custom AI agent development for workflow automation, real-time analysis, decision support, and adaptive user interactions integrated into existing systems.
- AI Feature Engineering: Services for building, testing, and integrating AI-powered features into existing applications using custom models, APIs, and automation workflows.
- RAG Application Development: Custom retrieval-augmented generation solutions that connect enterprise data sources to scalable, context-aware AI applications and agentic workflows.
- Cloud-based Application Testing Services: Cloud testing services for SaaS, PaaS, and cloud-native applications, covering functionality, performance, scalability, security, and compliance across major cloud environments.
- Blockchain Testing Services: Testing services for blockchain applications that cover smart contracts, APIs, integrations, data integrity, compliance, and penetration-focused security validation.
- Training Data: Data labeling, annotation, augmentation, and preparation services designed to improve AI and machine learning model quality, safety, and performance.
Target Customers
QASource targets engineering-led organizations that need external QA capacity without treating testing as a disconnected vendor function. Its typical buyers are software engineering leaders, QA leaders, product teams, and DevOps-oriented organizations that ship frequently and want dedicated testing resources embedded into their workflows.
The company serves a wide range of customers, from startups to large enterprises, including VC-funded software companies and established global organizations. It is especially relevant for teams building SaaS and cloud platforms, mobile apps, API-driven products, Salesforce implementations, and AI-enabled applications, as well as organizations in healthcare, financial services, retail and eCommerce, legal, cybersecurity, media streaming, collaboration, eLearning, and trading.
Cloud Integrations and Marketplace
- AWS: QASource supports cloud-based application testing in AWS environments, with platform-aware test planning, automation, and validation for functionality, performance, security, and scalability.
- Microsoft Azure: QASource supports testing for Azure-based applications and environments, including workflow alignment with Azure-oriented delivery processes and Azure DevOps-based QA operations.
- Google Cloud: QASource supports cloud-based application testing for applications deployed on Google Cloud, including SaaS, PaaS, and cloud-native workloads.
Key People
- Rajeev Rai: CEO and Co-founder
- Sonia Rai: CFO and Co-founder
- Kiran Naik: Chief Revenue Officer
Key Facts
- Headquarters: Pleasanton, California, United States
- Employees: 1,001-5,000
- Annual Revenue: Undisclosed
- Parent Company: None
- Subsidiaries: MyCrowd QA
- Publicly Listed: No
Analyst Recognitions
- Gartner: 2017 Market Guide for Mobile Application Testing Services – Representative Vendor (pure-play testing service provider).
- Everest Group: 2025 Quality Engineering (QE) Specialist Services PEAK Matrix Assessment – Aspirant. 2024 Quality Engineering (QE) Services for AI Applications and Systems PEAK Matrix Assessment – Aspirant.
