Built-to-Last: AI-Powered Quality Engineering
We use AI to cut through noise in testing and surface the issues that actually matter.
Autonomous Intelligence Tailored for Your Testing Needs
Indium’s AI-Powered quality engineering brings autonomous intelligence into everyday testing work, supporting teams across the full quality lifecycle. The agentic AI systems learn from product behavior, understand changing code patterns, and step in as reliable digital teammates that strengthen coverage and reduce repetitive effort.
Our AI solutions are tech-agnostic by design, integrating seamlessly into any client environment, and can be custom-configured to align with your preferred tools, tech stack, and development ecosystem.
An Intelligent Quality Loop That Never Stops Improving
Our vision is a continuous quality loop powered by agentic AI. Instead of isolated checks, it creates an always-on quality layer that feeds intelligence across every stage of the lifecycle. This closed-loop system detects, validates, and amplifies improvements in real time, driving a seamless flow of actions such as:
Requirements are interpreted automatically.
Tests are autonomously generated, optimized, and maintained.
Failures are diagnosed with contextual reasoning.
Production insights trigger continuous improvement.
An Agentic Testing Ecosystem Built on Domain-Smart AI
Our ecosystem brings together specialized AI agents that act as true domain experts, working collaboratively across the entire testing lifecycle to elevate accuracy, speed, and coverage.
Turns PRDs, user stories, and design assets into ready-to-run tests with broad functional and UI coverage.
Compatible Tech and AI Stack
Indium’s AI-QE solutions are designed to seamlessly integrate into any ecosystem.
Automation Tools
Playwright, Selenium, Cypress, Appium, WebdriverIO, TestNG, JUnit, PyTest.
AI/ML & GenAI Technologies
OpenAI, Azure OpenAI, Claude, Gemini, Llama, LangChain, RAG, Vector DBs.
DevOps & CI/CD
GitHub Actions, Azure DevOps, Jenkins, GitLab, Bitbucket.
Cloud & Infra
AWS, Azure, GCP, Kubernetes, Docker.
Monitoring & Analytics
Elastic, Dynatrace, Splunk, Grafana.
Scalable Quality with Autonomous Oversight
By orchestrating AI-driven agents across the lifecycle, organizations unlocks:
- 50–70% reduction in test creation & maintenance effort
- Virtually zero flaky automation
- Faster release cycles with fewer QA bottlenecks
- Cross-platform automation (Web, Mobile, API, Cloud, LLM Apps)
- Real-time defect prediction & risk visibility
- Reduced leakage & higher stability
- Insight-driven quality dashboards
- A scalable quality system that learns and improves continuously
Success Stories
Real Stories, Real Impact
Empowering Wealth Management with AI-Driven Selenium Script Automation for Financial Applications
Transformed wealth management with AI-powered test automation, a leading banking client streamlined their QA process, slashing manual efforts and accelerating release cycles.
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How LLM Testing Streamlined Logistics for a Global Technology Leader in Connecting Shippers and Carriers
Indium's LLM testing solution optimized AI-driven logistics for a global technology leader, enhancing customer engagement by 3x and reducing customer support costs by 30%
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Streamlined Success: Indium Enabled 5X Faster Test Automation for an OTT Platform
Indium enabled a leading entertainment company to achieve five times faster test automation using the uphoriX Smart Automation Platform. The solution reduced test execution effort by 80%, lowered retest effort to zero, and allowed parallel testing across multiple browsers and devices.
Read MoreFresh Takes and Insights
Decoding trends, one byte of knowledge at a time.
The Rise of Agentic AI in Testing: Pioneering the Future of Autonomous QA
Why is using AI to test AI at the top of every QE engineer’s mind?
Continuous testing in CI/CD pipelines – Reimagined with AI
AI in Testing – Hype or Hope? A Usage Experience
