Performance challenges
The new risk
AI-accelerated development is putting more pressure on performance validation than most teams have capacity to absorb, turning once manageable gaps into expanding chasms while performance risk compounds with every release.
of code is now AI-generated or assisted
Sonar, State of Code Developer Survey 26
More epics completed per developer with AI
Faros AI, AI Engineering Report, 2026
Increase incidents/month as AI adoption scales
Faros AI, AI Engineering Report, 2026
of organizations lose $300K+/hour of downtime
PagerDuty, 2026 State of AI-First Report
When performance falters, the business fails
Delayed go-lives
Late-stage failures push deadlines and trigger costly remediation sprints that compound across every release.
Missed coverage
Specialist bottlenecks leave critical paths untested, with blind spots that only surface under real production load.
Impacted revenue
Downtime costs hundreds of thousands per hour in lost transactions, SLA penalties, and customer attrition.
Productivity loss
Latency in ERP and operations platforms compounds workforce costs across every employee and every interaction.
Brand damage
Performance failures are immediately visible and erode user trust far beyond the duration of the incident.
Cascading failures
A missed bottleneck cascades across integrated systems, turning a single slowdown into business-wide downtime.
Tricentis NeoLoad
NeoLoad: Enterprise performance built for the pace of AI
Tricentis NeoLoad gives engineering and quality teams the performance coverage to ship the digital experiences users depend on, through domain-specialized agentic workflows, enterprise depth at real-world scale, codeless and as-code design for every skill level, and continuous validation from development through production.
No expertise bottleneck
Every engineer delivers expert-level performance output on demand.
Catch issues at the commit
Failures surface at the commit, where they cost a fraction of what they cost in production.
High performance
No layer of your enterprise technology stack is a performance testing blind spot.
From pipeline to production
Performance is continuous across the delivery lifecycle, from commit to production.
Tricentis NeoLoad
Benefits
Performance excellence at enterprise scale
NeoLoad delivers the performance depth experts require, and the accessibility that makes every team a meaningful contributor, with capabilities designed for enterprise scale across the delivery lifecycle.
Agentic Performance Testing
Embedded expertise that expands as timelines compress
Domain-specialized AI agents bring 20+ years of expertise to every team, on-demand. Agentic and MCP workflows, accessible in NeoLoad Web or through AI Workspace for governed quality engineering orchestration, deliver expert-level performance without a specialist at every step.
- From execution to action in minutes, not hours, as Agentic Performance Testing delivers full performance analysis with evidence, prioritized actions, and executive-ready reports.
- Access APT and NeoLoad MCP workflows conversationally with AI Chat, embedded in NeoLoad Web with full context-awareness and no external LLM dependency.
- Give quality teams a unified platform, not isolated tools, with AI Workspace connecting NeoLoad to governed agentic workflows across Tosca, qTest, SeaLights, and your SDLC toolchain.
Enterprise technology coverage
Enterprise performance for the technology that runs your business
NeoLoad covers the full enterprise stack, from API and microservices to full end-to-end, to emerging AI technologies, and everything in between. Easily combine backend protocol data alongside frontend performance in a single test, so results accurately reflect what users experience.
- Test SAP with the solution SAP trusts, with SolEx-certified coverage of SAP GUI, Fiori, RFC, IDoc, and S/4HANA transformations, now integrated with SAP Cloud ALM.
- Cover every layer of the enterprise without gaps as AI layers, enterprise apps, web, mobile, API, mainframe, and more get native coverage, no point solutions required.
- Capture what users actually experience as RealBrowser delivers browser-level performance data alongside protocol results in a single test run.
Flexible, resilient test design
Design for every role, tests that withstand change
Codeless visual design, YAML as-code authoring, CLI execution, and automated script maintenance coexist as equally capable paths in a single platform, so every user works in the interface that fits the way they already work.
- Build tests without writing code with drag-and-drop scenario building and record-and-playback that let any team member design tests without scripting.
- Fit into developer workflows without friction with YAML authoring and CLI execution that embed performance testing natively into existing pipeline toolchains.
- Cut maintenance time dramatically with automated script updates that preserve parameterization, SLAs, and scenario logic so overhead does not compound.
Continuous validation
Performance at every step and every scale
Automated go/no-go decisions validate every CI/CD commit and scale through peak-usage with global cloud load generation. Bidirectional APM integrations carry test data into production monitoring so performance visibility is continuous across the full delivery lifecycle.
- Stop regressions at the commit, not the release gate, with automated SLO-based pass/fail decisions across Jenkins, Azure DevOps, GitLab, and more.
- Run peak-load tests without infrastructure overhead as Dynamic Infrastructure provisions from virtually any global location in minutes and releases resources when tests complete.
- Close blind spots between testing and production with bidirectional integrations across Dynatrace, Datadog, AppDynamics, and more so production data informs testing and issues surface faster.
Analysis and insights
Analysis that ends in decisions, not questions
From real-time dashboards and SLA monitoring during execution to AI-powered analysis, APM correlation, cross-release trend tracking, and automated executive reporting, NeoLoad turns every test run into a decision-ready picture of performance health.
- Move straight from test to action as AI-powered analysis automatically surfaces anomalies and bottlenecks across every test run without manual investigation.
- Catch regressions before they reach users with cross-release trend analysis that tracks drift across every release before it becomes a production event.
- Give every stakeholder a clear picture with automated reports that deliver verdicts, evidence, and action items for every audience.
Domain-specialized AI
Enterprise-ready AI agents and NeoLoad’s fully connected MCP put critical functions under AI-driven control, so every practitioner delivers expert-level outcomes while specialists focus on high-value work.
Domain-specialized AI
Enterprise-ready AI agents and NeoLoad’s fully connected MCP put critical functions under AI-driven control, so every practitioner delivers expert-level outcomes while specialists focus on high-value work.
Why NeoLoad?
Why enterprise teams choose NeoLoad when performance matters
Purpose-built AI on a foundation of enterprise performance expertise, accessible to every team, without the gaps and overhead that retrofitted platforms and open-source workarounds introduce.
Domain-specialized AI
Built on deep enterprise performance expertise, NeoLoad delivers AI that scales with the velocity AI-driven development demands, not generic AI retrofitted to fill feature gaps.
True experience, full performance
RealBrowser captures frontend performance alongside backend metrics, so you can optimize actual user experience, not just server response times.
Designed for enterprise complexity
Native coverage for the systems that power your business, not through plugins and point solutions that introduce gaps and maintenance overhead.
Expert output for every team
Cover more applications and releases without growing the specialist team, as NeoLoad’s AI handles routine workflows so experts focus on strategy, not execution.
Rapid design, resilient tests
Cut test design effort by up to 60% through fast-start codeless design, with automated script updates that reduce maintenance by up to 80%.
Peak load without the overhead
Cloud-based load generation scales to millions of virtual users on demand, so teams reach the peak conditions that expose real failures without internal infrastructure.
Case study
Dell chooses NeoLoad for SAP load testing
Learn more about how NeoLoad helps Dell streamline load testing for SAP, the backbone of their business.
Key outcomes:
- 40% less time to design and create scripts
- 30% maintenance time savings
Supported technologies
Supporting the technologies that run your business
NeoLoad natively supports the full enterprise technology stack. If it runs your business, NeoLoad enables you to ensure it performs.
SAP
GUI
Fiori
RFC
IDoc
S/4HANA
Web & API
HTTP/S
REST
SOAP
WebSocket
WSDL
Enterprise apps
Oracle
Salesforce
ServiceNow
Workday
Citrix
Browser (RealBrowser)
Chrome
Firefox
Edge
Salesforce Lightning
SAP Fiori
Mobile
iOS
Android
Native apps
Hybrid apps
Legacy & mainframe
TN3270
TN5250 (AS/400)
VT terminals
RTE
Messaging
JMS
MQTT
AMQP
Kafka
Integrations
Connected across the Tricentis platform and your full stack
Tricentis platform
Connect NeoLoad to AI Workspace, Tosca, qTest, and SeaLights for unified orchestration, test asset reuse, and quality intelligence across the platform.
AI Workspace | Tosca | qTest | SeaLights
CI/CD and pipeline
Automate continuous performance testing within CI pipelines and manage test assets with native integration to on-premises and cloud CI tools.
Jenkins | Azure DevOps | GitHub | GitLab | CircleCI | TeamCity
Application performance monitoring
Integrate with APM solutions to monitor and correlate performance in production, including Datadog, Dynatrace, AppDynamics, New Relic, and Prometheus.
Datadog | Dynatrace | AppDynamics | New Relic | Prometheus
Functional and API assets
Convert Tosca and Selenium functional assets to performance tests, or import Postman collections and OpenAPI definitions to accelerate test design.
Tosca | Selenium | Postman | OpenAPI
Cloud and infrastructure
Native integrations for AWS, Azure, GCP, Kubernetes, Docker, and OpenShift support performance testing across cloud migration, development, and delivery.
AWS | Azure | Google Cloud | Kubernetes | Docker | OpenShift
API, MCP, and extensibility
Extend NeoLoad through MCP for AI-driven orchestration, the open API and SDK for custom integrations, or connections to tools like Splunk, Tableau, and Slack.
Splunk | Tableau | Slack