Redefining Quality Engineering with Intelligent, Future-Ready Solutions
Empowering Quality Engineering with Intelligent Solutions for Scalable, Secure, and Next-Generation Applications.
overview
With a focus on cognitive and digital advancements, we are transforming Quality Engineering to meet the evolving demands of software development. By integrating intelligent automation into testing and optimizing performance and security, we refine traditional practices to ensure your applications achieve superior standards of quality, efficiency, and protection in an ever-changing digital landscape.
Key Offerings
Strategic Consulting
Test Coverage
QE Managed Services
Test Automation
Strategic Consulting
We help assist organizations in adopting advanced technologies such as cognitive and digital solutions to strengthen their Quality Engineering. Our teams collaborate closely with you to assess readiness, identify areas for improvement (particularly in AI-driven opportunities), and develop tailored strategies that align with your business goals. By driving both shift-left and shift-right approaches, we ensure seamless integration into your testing ecosystem.
Test Coverage
We provide comprehensive test coverage across a variety of environments, including enterprise systems (SAP, Salesforce), cloud and infrastructure (AWS, Azure), microservices, data/ETL processes, and emerging technologies (Gen AI tools, digital platforms).Our services cover functional, performance, and migration testing, ensuring robust validation in complex enterprise environments.
QE Managed Services
Our Managed Services Model leverages the latest digital tools, including cognitive technologies, to optimize and automate traditional services. Through proactive monitoring, predictive maintenance, and data-driven decision-making, we ensure high-quality service, reduced costs, and increased customer satisfaction, across various domains and verticals.
Test Automation
We deliver advanced test automation powered by cognitive and intelligent technologies. By adopting a Software Development Engineer in Test (SDET) culture and an in-sprint testing approach, we accelerate testing throughout the lifecycle, increase accuracy, and adapt to evolving needs. This results in faster testing cycles, higher-quality software, and smoother digital transformations.
Capabilities/Competencies
Cognitive and Intelligent Automation
We implement AI and ML-powered automation to drive efficiency, reduce manual effort, and ensure continuous quality in testing processes.
Shift-Left and Shift-Right Testing
We embed testing early in the software development lifecycle and extend it post-release to ensure quality at every stage, from development to production.
End-to-End Functional Testing
We have the capability to perform comprehensive functional testing across enterprise systems like SAP, Salesforce, and others.
Non-Functional Testing (Performance & Security)
We specialize in testing application performance, security, and scalability using advanced monitoring tools.
Microservices Testing
We ensure seamless validation of microservices architectures, guaranteeing that independent services work together effectively.
Data and ETL Testing
We bring expertise in testing data pipelines, ETL processes, and ensuring data accuracy within data warehousing environments.
Cloud Testing
We have proficiency in testing cloud-based applications and infrastructure on platforms like AWS, Azure, and others.
Device and IoT Testing
We validate applications across diverse devices, ensuring compatibility and performance in real-world conditions.
Migration Testing
We handle large-scale application and data migrations with minimal disruptions.
Digital Platforms and Gen AI Tools Testing
We ensure the accuracy, security, and performance of emerging technologies such as digital platforms and generative AI tools.
Test Data Management
We effectively manage test data, ensuring its availability, accuracy, and relevance across testing phases.
Compliance and Regulatory Testing
We ensure applications meet industry-specific regulatory standards (e.g., GDPR, HIPAA).
Performance Optimization and Tuning
We provide real-time performance testing and tuning to optimize resource utilization and ensure high availability under peak loads.
Predictive Analytics for Testing
We leverage data-driven insights and predictive models to identify potential testing bottlenecks and optimize test strategies.
SDET Culture (Software Development Engineer in Test)
We build cross-functional teams with coding and testing skills to accelerate high-quality software delivery.
Challenges & Solutions
- AI-Powered Testing Automation:  Machine learning models predict and identify defects early in the development cycle, reducing the cost and time required to fix issues later. By implementing intelligent test automation, organizations can accelerate testing without sacrificing quality. Automated test case generation, execution, and defect prediction help maintain high quality while meeting tight deadlines.
- Intelligent Test Automation:  We use AI-driven automation to ensure rapid and accurate testing, reducing time-to-market.
- Adaptive Test Case Generation:  AI enables dynamic creation and updating of test cases in response to changing project requirements, ensuring that testing remains comprehensive and relevant as the project evolves.
- Custom AI Implementation Roadmaps:  We develop strategies tailored to complex project needs, ensuring that AI integration aligns with shifting business goals.
- AI-Driven Defect Prediction:  Machine learning models predict defects early in the development cycle, minimizing the cost and time needed to address issues.
- Predictive Analytics and Insights:  We use AI to forecast potential quality issues before they occur, allowing teams to address them proactively.
- AI-Powered Security Testing: Automated, AI-driven security tests continuously monitor and detect vulnerabilities throughout the development lifecycle, ensuring that security remains intact even as development speed increases.
- Proactive Performance Optimization:  AI monitors and optimizes both performance and security, ensuring applications are secure and efficient under varying conditions.
- Smart Resource Allocation: AI optimizes the allocation of resources using real-time data and predictive models, ensuring efficient resource use, reducing costs, and improving project outcomes.
- AI-Infused Quality as a Service (QaaS): We offer scalable, on-demand Quality Engineering services, enabling organizations to manage costs while maintaining high-quality standards.
Years in QE
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Our Trusted Partners
Case Study Levers
KPIs
Automation ​Coverage​
In-sprint ​Automation​
Post – Production​ Defects​
Improve Process ​and
establish ​Testing Factory​
Realtime ​Security assessment​
Testing ​Maturity Model​
Before
25%
Longer Release Cycle
​ 10 Weeks Effort​
7%
Siloed Teams​
QEs in Isolated Programs
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Extensive Production ​Downtimedue ​to Application Vulnerabilities ​
T & M
​Customer Managed Program​
After
Increased to 85%
Accelerated the release cycle by 40% 6 Weeks Effort
0-2%
Shared Services Model
Reduced QEs by 10% with Governance Team
Reduced to 10% Realtime Risk Scoring Incidents ​
Managed Services
​ 100% ​Infinite Accountability​
PLATFORMS / FRAMEWORKS​
- QA Verify, Test Management
- ATDD, BDD, iService
- Infinite Test Practices
- QA Shared ​Services Model​​
- Security Risk ​Scoring Model​​
- Infinite ​TCoE​​
