
AI-powered performance and load testing for the enterprise
NeoLoad is Tricentis's AI-powered performance testing platform for validating application performance from API to end-to-end at enterprise scale. It combines protocol-based and real-browser load testing in a single interface, with no-code and as-code design options, and embeds agentic AI to compress test creation, analysis, and maintenance. NeoLoad integrates across CI/CD pipelines and APM tools to enable continuous performance validation.
Domain-specialized AI agents and an embedded, context-aware AI chat drive agentic and Model Context Protocol (MCP) workflows through natural language directly in NeoLoad Web.
Test APIs, microservices, and backend services with protocol-based testing, plus complex web and cloud-native apps with RealBrowser, all in one interface.
No-code visual test design for non-experts alongside as-code workflows and a native CLI for engineers, suiting teams of any skill level.
Intelligent correlation and automatic script updates dramatically reduce test maintenance effort as applications change.
Scalable, on-demand cloud-agnostic load generation lets teams run distributed tests from multiple geographic locations.
Native support for SAP and the ability to reuse SAP functional test scripts as performance tests via Worksoft Certify and Tricentis Tosca integrations.
Validate that mission-critical web, mobile, and API applications hold up under realistic peak load across global regions.
Embed automated performance gates into delivery pipelines for pipeline-ready go/no-go decisions at every release.
Reuse functional SAP scripts as performance tests to load-test enterprise ERP systems like SAP and Avaloq.
Protocol-based testing for microservices, APIs, and backend services to catch bottlenecks early in development.
Native CLI and open APIs embed automated performance testing into on-premise or cloud CI tools with pipeline-ready go/no-go decisions.
Bidirectional integrations with New Relic, Datadog, Dynatrace, AppDynamics, and Prometheus, plus connectors to Git, Splunk, Tableau, and Slack.
Agent-driven analysis turns hours of manual investigation into decision-ready insights, with dashboards, trend tracking, and AI-generated reports.
No-code design plus agentic AI lets non-experts run tests while specialists focus on optimization and strategy.

A powerful platform to manage social at scale