Applitools brings human-like judgment to software testing at scale. Built on proprietary Visual AI with more than a decade of real-world use.
US and Israel
Joined July 2013
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Build the skills to step into leadership—from risk tiering and data-backed release criteria to controlling hidden AI costs—in this interactive workshop.
bit.ly/4i4S92w
🤔 Point tools or converged platforms?
Agentic AI is splitting the SDLC, and engineering teams must plan for both.
Navigate the shift with Forrester's The State Of Agentic Software Development, 2026
Get it today—limited time remaining. applitools.com/resources/gui…
How often do UI changes slip past QA—causing late-stage design debates?
Connecting automated tests directly to live Figma baselines catches design drift the moment it happens.
See #Figma baselines in action in the full webinar👇
bit.ly/47wCZNr
5x longer PR reviews. A 242% increase in incidents per PR. A 54% jump in production bugs per dev.
Coding agents are bottlenecking review and trust—unless you have deterministic guardrails.
See how Visual AI, Figma baselines, & plain English steps help.
bit.ly/47wCZNr
Catch Optimizely layout bugs before launch!
4 hours of manual QA ➔ 30 mins.
250 automated tests ➔ 500 in 6 months.
Learn how in this technical demo: bit.ly/4jw0H3F
#Optimizely #Episerver #WebDev #QA
Reviewing UI diffs manually creates bottlenecks in CI/CD pipelines.
Using our new eyes-review & eyes-resolve MCP tools, you can let an AI agent automatically inspect, review, and triage visual test failures from a runner like GitHub Actions.
Full guide: bit.ly/4iaYBns
Scale QA without adding headcount 📈
One #Optimizely partner is on pace to automate ~2,000 hrs/yr of regression testing and doubled its automated tests in 6 months.
See more in this demo session: bit.ly/4jw0H3F
#OptimizelyCMS #Episerver #TestAutomation
Let AI agents review your visual test failures directly in GitHub Actions! 🤖
Learn how to automate your Applitools Eyes reviews right inside your CI/CD pipeline: applitools.com/blog/automate…
#VisualTesting #CICD #GitHubActions
Most AI coding agents are blind to the UI they build.
Watch an AI agent complete a coding task, validate how it appears visually, and catch a hidden UI bug—all before opening a PR.
Catch the full session >> bit.ly/47wCZNr
"It's a really exciting time to be working in quality engineering."
- Beth Marshall
AI is forcing QEs to sharpen their most important skill: asking why.
Catch up on what you missed in this session recap 👇
applitools.com/blog/agentic-…
AI in testing is always evolving, so relying on yesterday's skill set isn't a viable option.
Beth Marshall explains why advocating for learning opportunities—including the courses on @TestAutomationU—is essential for modern engineers.
Session recap: applitools.com/blog/agentic-…
Coding agents generate more code per day, making visual test maintenance a bottleneck.
Here’s how Applitools MCP pairs deterministic Visual AI with Claude Code, Cursor, Copilot & Cline to automatically triage test results while you sleep.
applitools.com/blog/applitoo…
Get the skills, voice, and judgement you need to make AI earn its place on your team in this hands-on workshop with @Laveena_18
applitools.com/resources/web…
Are you burning LLM tokens just to check if a UI layout looks right? 💲💲💲
Learn how to implement resilient, enterprise-grade AI testing.
#StickyMinds
bigmarker.com/stickyminds/ai…
"Tests passed, but the UI is broken." Sound familiar? 😅
Give AI coding agents "eyes" to self-correct layout bugs and validate builds against your #Figma designs.
Learn how in this technical demo
applitools.com/resources/web…
Critical thinking remains critical—especially when working alongside AI.
Ivan Davidov's #1 piece of advice for quality teams? Validate every output. Because once team confidence is lost, there is no way back.
Full session on-demand: applitools.com/resources/web…
Relying on probabilistic AI to check AI-generated code is…
not reliable.
To see how to fix it, join our #StickyMinds webinar and learn how to implement resilient, enterprise-grade testing.
🎥 AI Testing Is a Coin Flip. We Fixed That.
⏰ October 15
👉 bigmarker.com/stickyminds/ai…
AI might process data faster, but human vision is more critical now than ever.
Paul Grizzaffi breaks down why technical automation misses the human element.
Stream the full session: applitools.com/resources/web…
Using an LLM to test AI-generated code is a coin flip.
Unpredictable models checking unpredictable code leads to token waste and ""fixing"" tests instead of bugs.
Learn how to fix it - bigmarker.com/stickyminds/ai…
