We use AI to analyze requirements, generate test scenarios, and identify coverage gaps, with engineers reviewing cases against business priorities.
Our Capabilities
AI-Assisted Testing Strategy & Test Generation
Test Automation & CI/CD Integration
Automated functional and API tests run within your delivery pipeline, with AI-assisted script development supporting faster test creation and maintenance.
Performance & Load Testing
We simulate realistic traffic and data volumes, using AI-assisted analysis to investigate anomalies and identify performance bottlenecks.
Infrastructure & Deployment Testing
Our testing validates environment configurations, deployment workflows, and rollback procedures, with AI-assisted log analysis supporting failure investigation.
Intelligent Regression & Defect Risk Analysis
AI-assisted analysis of code changes and defect history helps prioritize regression tests and direct engineering review toward higher-risk areas.
AI-Assisted Visual & Compatibility Testing
We combine cross-browser and device testing with AI-based visual comparison to identify meaningful layout changes and interaction issues.
Model & AI Output Validation
Our evaluations test predictions and generated responses against defined benchmarks for accuracy, relevance, consistency, and business usefulness.
Data Quality Testing for AI Pipelines
We validate training and inference data for missing values, inconsistent formats, duplication, and distribution changes that can affect model performance.
AI-Assisted Testing Strategy & Test Generation
We use AI to analyze requirements, generate test scenarios, and identify coverage gaps, with engineers reviewing cases against business priorities.
Test Automation & CI/CD Integration
Automated functional and API tests run within your delivery pipeline, with AI-assisted script development supporting faster test creation and maintenance.
Performance & Load Testing
We simulate realistic traffic and data volumes, using AI-assisted analysis to investigate anomalies and identify performance bottlenecks.
Infrastructure & Deployment Testing
Our testing validates environment configurations, deployment workflows, and rollback procedures, with AI-assisted log analysis supporting failure investigation.
Intelligent Regression & Defect Risk Analysis
AI-assisted analysis of code changes and defect history helps prioritize regression tests and direct engineering review toward higher-risk areas.
AI-Assisted Visual & Compatibility Testing
We combine cross-browser and device testing with AI-based visual comparison to identify meaningful layout changes and interaction issues.
Model & AI Output Validation
Our evaluations test predictions and generated responses against defined benchmarks for accuracy, relevance, consistency, and business usefulness.
Data Quality Testing for AI Pipelines
We validate training and inference data for missing values, inconsistent formats, duplication, and distribution changes that can affect model performance.
Our Methodology
AI-assisted testing and engineering review, from risk assessment to release validation and production monitoring.
Discover & Assess
Review requirements, critical workflows, data, and existing coverage to identify software and AI quality risks.
Plan & design
Use AI to support test generation and prioritization, with engineers defining scenarios, evaluation benchmarks, and acceptance criteria.
Test & validate
Integrate automated checks into delivery pipelines, evaluate model outputs, and verify functionality, performance, and compatibility.
Monitor & Improve
Track production defects, model drift, and output quality, then refine test coverage and evaluations as the system evolves.
Impact, Delivered
Resources
What’s new at SSI, insights, news, blogs, whitepapers, and guides from our teams.
Blog
How is AI Reshaping Automation Testing?
Creating comprehensive test cases was one of the most tedious tasks for testers. But AI has changed the game
Blog
5 Ways DevSecOps Can Manage Software Supply Chains
The blog analyzes five ways how DevSecOps can manage software supply chains and minimize cyber-security risks related to open-source components
Blog
Top Best Practices and Trends for Managing DevOps in 2021
In this blog, we talk about the best practices and trends for managing DevOps in 2021
FAQs
Build confidence in your software and AI.
