Functional Testing: Ensuring every feature works exactly as intended against the specifications.

• Services: Unit testing, integration testing, system testing, user acceptance testing (UAT).

Performance Engineering: Guaranteeing your application scales under load and remains responsive.

• Services: Load testing, stress testing, scalability testing.

Automation Testing: Using modern tools and frameworks to speed up development cycles and reduce human error.

• Focus On: CI/CD integration, Selenium, Cypress, Playwright.

Specialized Testing: Guaranteeing your application scales under load and remains responsive.

• Mobile App Testing: Across various devices, operating systems, and network conditions.
• Cloud Testing: Validating applications deployed on Azure, or GCP.

Cost-Effective Rigor: Achieve enterprise-grade testing standards at a fraction of the cost of in-house teams.

Process Integration: Our QA engineers are embedded directly within your development sprint teams for seamless collaboration and early issue detection.

Tool Agnostic Experts: Proficiency across all major commercial and open-source testing tools.

Data Quality Assurance (DQA):

• Data Validation: Verifying that data adheres to predefined rules, formats, and constraints.
• Data Consistency Checks: Ensuring data consistency across different sources or within the same dataset.
• Labeling Accuracy Checks: Auditing manually labeled data for correctness and consistency.

Model Testing:

• Functional Testing: Testing the model's output against expected behavior for specific inputs
• Performance Testing (Inference): Measuring model inference speed, latency, and throughput under various load conditions.
• Regression Testing: Ensuring that new model versions or code changes do not negatively impact existing functionality or performance.
• Robustness Testing: Testing how the model performs with noisy, corrupted, or adversarial inputs.
• Edge Case Testing: Identifying and testing specific scenarios where the model might fail or perform poorly.

MLOps and Pipeline Testing:

• Data Pipeline Testing: Validating each stage of the data ingestion, transformation, and loading pipeline.
• Training Pipeline Testing: Ensuring that the model training pipeline runs correctly, produces expected artifacts, and logs metrics accurately.
• Deployment Pipeline Testing: Verifying that model deployment processes are smooth, repeatable, and correctly deploy the model to the target environment.
• Version Control Verification: Ensuring that all components (code, data, models) are correctly versioned and traceable.

This section focuses on the post-deployment phase, assuring clients their applications will remain stable, secure, and up-to-date. Emphasize the availability and technical depth of your support staff.

Comprehensive Support Tiers

Offer structured tiers to match different client needs (e.g., Bronze, Silver, Gold).

• Level 1 (L1) Support: Initial triage, ticket logging, and basic troubleshooting. Available 24/7/365.
• Level 2 (L2) Support: In-depth technical diagnosis, bug reproduction, and configuration support by specialized engineers.
• Level 3 (L3) Support: Direct access to the Development Engineering team for complex bug fixes, code patches, and major incident resolution.

Maintenance Services

• Proactive Monitoring: 24/7 system health checks and alerting to detect issues before they impact users.
• Application Enhancement: Continuous maintenance, feature upgrades, and technical debt resolution.
• System Upgrades & Patching: Ensuring all underlying infrastructure and software dependencies are current and secure.

Ready to guarantee the quality of your next project? Email us at info@mahathi.com