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Full user-journey validation before production — fewer escapes, happier customers.
Learn more →AI-augmented engineering services that help enterprises build, validate, and launch software faster — from concept to production.
Quality Engineering · Product Engineering · Talent Platform
Accelerated delivery cycles across regulated and high-velocity programmes
Shift-left QA, automation, and production monitoring that catches issues early
Academy-trained talent you can staff, squad, or scale — across every major stack
Build, validate, and launch under one group — no vendor handoffs between teams
Global enterprises and leading Indian brands — 217+ clients worldwide, 20,000,000+ automated tests executed and counting.
From quality assurance to AI-powered testing and product engineering — five disciplines, one seamless engineering partner.
End-to-end validation of software behaviour, user journeys, and business outcomes.
Explore →Shift-left engineering practices, automation, and performance built into the SDLC.
Explore →Test AI systems and deploy AI to supercharge your testing operations.
Explore →Architecture-first product engineering via Innovexce — build, scale, and validate under one group.
Explore →CI/CD pipeline integration, release governance, and production observability.
Explore →From academy-trained talent to product engineering and quality validation — build, staff, test, and scale under a single trusted group. No handoffs between brands.
India's leading quality engineering partner — managed QA, automation, crowd testing, and AI-augmented validation for global enterprises.
Test Yantra's fast-growing product engineering unit — custom engineering, managed delivery, and role-based staffing with 900+ skilled professionals.
A next-generation scriptless test automation platform using NLP, AI, and predictive analytics to automate web, mobile, API, and enterprise applications.
Training-as-a-service for job-ready capability — software testing via QSpiders (ISTQB® partner) and Java/J2EE via JSpiders.
TestYantra — validation, automation, and AI-powered quality
Innovexce — engineering, cloud, AI, and dedicated teams
Three capability domains — explore what we deliver across QA, QE, and production monitoring. Product engineering lives under Innovexce.
Whether you need to scale fast, build a CoE, or extend your bench — we flex to your operating model.
A self-contained, cross-functional quality team with defined scope, governance, and delivery SLAs — fully managed by TestYantra.
Build an internal QE CoE with our expertise, tooling blueprints, and leadership — anchored to your enterprise standards.
Precision placement of QA and QE professionals — manual testers, automation engineers, architects, or performance specialists.
Onshore, offshore, and nearshore delivery combinations optimised for time zones, cost, and communication quality.
Six commercial models designed for enterprise agility — from outcome-based engagements to full managed operations.
Fully accountable quality operations with defined KPIs, reporting, and continuous improvement built in.
Fixed-scope, outcome-based engagements — TestYantra owns the delivery, you own the outcome.
We stand up your QE capability, run it to maturity, then transfer knowledge and ownership to your team.
Shared model where TestYantra supplements and elevates your existing QA team with specialist skills and governance.
On-demand access to a global tester network for real-device coverage, UAT scale, and exploratory depth.
Independent QA maturity assessments, framework audits, and strategic recommendations from senior QE practitioners.
Two distinct, high-value capabilities — testing AI systems with rigour, and deploying AI to transform how you test.
Validate your AI systems for model accuracy, data drift, bias, and responsible output — before your customers find out.
View Lane details →Lane 02Augment your testing operations with AI-powered frameworks, agentic automation, and intelligent test lifecycle management.
View Lane details →As AI systems proliferate, so does the cost of getting them wrong. We bring structured, independent validation to your models, agents, and AI-driven products.
Evaluate model accuracy, precision, recall, and confidence thresholds against ground truth before production rollout.
Detect data drift, concept drift, and performance degradation in live AI systems before they impact business outcomes.
Audit model outputs for demographic bias, disparate impact, and fairness compliance across regulated use cases.
Prompt injection testing, RAG pipeline validation, hallucination benchmarking, and output safety evaluation for generative AI systems.
Intelligent automation. Agentic workflows. AI-trained talent. We embed AI into your testing operations to cut cycle time, increase coverage, and future-proof your QE capability.
Self-healing, context-aware test automation built on Playwright, Model Context Protocol, and TestYantra's proprietary agent layer — reducing maintenance overhead by up to 60%.
AI-assisted migration from legacy automation frameworks (Selenium, UFT, Tosca) to modern, maintainable stacks — with zero loss of test coverage.
Orchestrated AI agents that span requirements analysis, test design, execution, defect triage, and reporting — reducing human-in-loop effort across the test lifecycle.
Structured upskilling programmes that equip your QA teams to adopt AI-native tools, prompting techniques, and agentic workflows — closing the AI skills gap from within.
A Tier-1 bank needed to accelerate digital releases across 14 markets while maintaining regulatory compliance.
Quality bottlenecks were slowing streaming platform releases and blocking daily deployment goals.
Patient-facing apps needed robust quality and security testing without slowing an aggressive product roadmap.