Austin, TX, USA
2007
  |  By Annie Millerbernd
Quick summary: AI is creating anxiety and excitement — teams can get more work done faster, but does all this automation leave the worker behind? Not necessarily, says one performance engineering leader. The AI revolution, he says, is another technological wave. To ride it, performance engineers must embrace the change.
  |  By Lanier Norville
At some of the most sophisticated engineering organizations in the world, the best developers are already writing zero percent of code manually. AI agents are generating features, spinning up test suites, and moving software through delivery pipelines faster than most governance frameworks were designed to handle. The speed is real, and so is the exposure that comes with it.
  |  By Annie Millerbernd
Quick summary: AI accelerates code creation, but its inherent confidence pushes structural risks downstream, where they surface as costly, release-blocking problems. As code output scales, performance validation that can’t keep pace becomes a headache and a business risk. Agentic performance testing embeds skepticism and performance awareness into the development process before risk can compound. Software development requires specialized expertise for a reason.
  |  By Luke Mahon
AI is now writing more of your code than ever. But the problem is that your test suite was built to catch errors, not to catch the difference between what an AI agent produced and what your original specification actually required. As AI tools accelerate development velocity, the volume of code moving through pipelines is outpacing traditional quality processes.
  |  By Kateryna Gandzeichuk
Take this scenario: Your team ships a release with 91% code coverage. Every test in the suite passes. The pipeline is green, and leadership signs off. But two days later, a critical defect surfaces in production. Upon investigation, you find that the changed code was never actually tested, and the tests that were run covered different paths entirely. That 91% was real, but it was just measuring the wrong thing. And as AI tools generate more of the code inside those pipelines, the gap widens.
  |  By Annie Millerbernd
This year has already marked a leap forward for Tricentis NeoLoad with the arrival of agentic capabilities that open the door to a new era of performance engineering. But even as we reshape what’s possible, we remain focused on the everyday realities and priorities of performance teams. With the 2026.1 release, NeoLoad continues to evolve in practical, customer-centered ways.
  |  By Annie Millerbernd
Data analytics and science professions have undergone a dramatic transformation in the last decade. Demand for data talent has risen steadily, but the skills required to succeed in the field have evolved right alongside it. And now AI is a defining variable shaping what the next decade of analytics work will look like. It speeds up routine tasks, gives data access to more business users, and raises new questions about what skills will matter most in the not-so-distant future.
  |  By Lizzie Stokes
Software testing has a bad rap for bottlenecks — and nowhere is that truer than in the SAP world. An overwhelming majority of SAP orgs continue to rely on manual testing practices that can consume up to 30% of implementation budgets, making QA out to be a persistent roadblock to transformation. To be fair to SAP QA teams, the issue is not as much about inefficiency as complexity.
  |  By Sarah Welsh
Over 1,000 people around the world tuned in as Tricentis CEO Kevin Thompson and VP of AI David Colwell unveiled our new integrated platform, followed by a live demo from Enterprise Solution Architect Matt Serpone. From our headquarters in Austin, Texas, we unveiled a unified solution designed to help enterprises treat quality as a coordinated system rather than a collection of disconnected tools.
  |  By Lizzie Stokes
Last August, MIT released a landmark report that confirmed what many enterprise leaders had started to fear: most AI pilots are failing. After reviewing hundreds of AI initiatives, researchers found that 95% of generative AI pilots failed to reach production or deliver measurable results. The headline quickly hardened into a cliché: AI doesn’t scale.
  |  By Tricentis
Your pipeline is green. But do you actually know what you tested? Most teams don’t know what changed, what was covered, or what risk remains. That’s the gap Quality Intelligence solves. It turns test and engineering data into real, evidence-based confidence so you can release faster, with less risk. With Tricentis SeaLights, you can move from assumption to understanding. So you don’t just test more, you understand more!
  |  By Tricentis
The Tricentis Agentic Quality Engineering Platform, powered by the new Tricentis AI Workspace and team of AI agents, enables you to scale quality at the speed of AI with built-in governance & human oversight! This is a trusted, secure platform that is not a collection of disconnected tools, but a coordinated, intelligent system, designed to evolve as enterprises move toward fully autonomous. This platform is where you can build your agentic future!
  |  By Tricentis
How do you scale AI without losing control? Tricentis CEO, Kevin Thompson and VP of AI, David Colwell, discuss the strategic vision behind the industry’s first end-to-end enterprise agentic quality engineering platform. In this video, they address the core challenges facing today's CIOs: balancing the breakneck speed of AI development with the necessity of enterprise-grade governance.
  |  By Tricentis
At Tricentis, we're a dynamic team of dreamers and doers, constantly pushing the boundaries of software quality. We embed quality into every platform, application, and step our customers take.
  |  By Tricentis
  |  By Tricentis
Curious what Generative AI is? Learn the basics of generative AI, its applications, and its impact on various industries and testing practices!
  |  By Tricentis
Curious to know how a Senior Software Engineer uses AI in their day to day? Learn practical ways to integrate AI into your daily tasks to boost productivity and innovation!
  |  By Tricentis
Discover how AI-powered change intelligence can future-proof your SAP systems, enhancing their stability and performance!
  |  By Tricentis
Gain expert insights into Oracle test automation basics, best practices, and advanced techniques to optimize your testing strategy!
  |  By Tricentis
Build a modern testing practice with the Continuous Testing Framework, created by the world's leading testing experts.
  |  By Tricentis
Continuous, automated software testing can save your business a huge amount of time and money, and prevent headaches down the line. But, depending on your organization's strategy, automation can create as many problems as it solves. Whether you're implementing test automation from scratch or already have a methodology in place, this eBook shares tips for optimizing test automation.
  |  By Tricentis
Here's the simple truth: ServiceNow's digital workflows are only as effective as your release process allows them to be. This is why organizations have honed in on testing as a source of strategic advantage to help them release faster, improve the customer experience, and boost productivity.
  |  By Tricentis
Maybe you've thought about changing your performance testing platform, but have a lot of fears: Will you waste money? Lose valuable time? Open your company up to risk? Change doesn't have to be scary. Read this eBook to learn five reasons why changing performance testing platforms shouldn't be frightening, and a few strategies to ensuring your migration is a success.
  |  By Tricentis
For decades, the concept of artificial intelligence (AI) has captivated our imaginations - from science fiction and film to algorithms that can approximate conversation, to the predictive text programs that can produce new Harry Potter fan fiction today. AI is no longer a concept, it is real and here, leaving business leaders asking what it can do for their complex ERP systems like SAP? Read this white paper to learn.
  |  By Tricentis
What do missions to space and ServiceNow releases have in common? More than you might think. Both involve many intricate moving parts that are vital for liftoff and mission success. Like the delayed NASA Psyche asteroid mission, insufficient testing can create significant impediments on the path to launch.

Enable everyone on your team to become a quality champion. The Tricentis platform accelerates testing of all your applications, data, and business processes and integrates with tools across your delivery pipeline.

Tricentis is the undisputed leader in enterprise test automation. We’re the only vendor in the category to achieve leader status in all the top analyst reports, including Gartner (5 years in a row), Forrester, and IDC. In every industry and geography, leading brands rely on Tricentis.

Continuous testing for digital businesses:

  • Flexible and Scalable: Scale test automation across diverse teams, application types, and IT architectures.
  • Codeless Options: Making it easy for non-technical business users and test engineers alike.
  • AI-powered: Leveraging advanced ML technologies to enable faster, smarter testing.

Deliver quality software at DevOps speed.