Noibu launches AI that improves your ecommerce store every day. Noibu's AI agents don't just flag what a store could do better - they run the ad spend, test the ideas, build the fixes, and prove what worked. From growing return on ad spend to resolving bugs, each drafts the change, ships it once a human approves, and measures the result. OTTAWA, Ontario - Noibu,... September 15, 2026 at 9:09 a.m. Last Updated: September 15, 2026 at 10:26 a.m. Noibu's AI agents don't just flag what a store could do better - they run the ad spend, test the ideas, build the fixes, and prove what worked. From growing return on ad spend to resolving bugs, each drafts the change, ships it once a human approves, and measures the result. OTTAWA, Ontario - Noibu, the platform for AI-powered ecommerce operations, today launched a set of six AI agents that close the gap between knowing what an online store could do better and actually doing it. The agents work inside the store's own behavioral, commercial, and technical data to find what's worth changing - a growth opportunity, an experiment worth running, an accessibility gap, a revenue-losing bug - then draft the change, ship it once a human approves, and measure the result against what it promised to move. The launch marks a shift in what Noibu is. For nearly a decade, tools in this space ended at a dashboard: they told a merchant what was wrong and left the fixing, testing, and measuring to someone else. Noibu now runs the full loop - detect, diagnose, recommend, act, and validate - with a human approval step built in at the point anything reaches a live store. And the loop compounds. Each change ships, the store's own data reports what shoppers did with it, and that result becomes the starting point for the next change. Run it every week and the store improves on a schedule - a website that gets better at making itself better, with a person saying yes at each step. The limit stops being how many people a team has and becomes how many changes it chooses to approve. "Until now, a store got better at the speed of the people working on it. That constraint is gone," said Kailin Noivo, Co-Founder of Noibu. "A store can land a measured improvement every day, whatever its headcount, and the team's job narrows to the one decision that should stay human: whether it ships." Noibu is built only for ecommerce, which means the company spends its time talking to the people who actually run online stores. Over the past year, the same three mandates came up in nearly every one of those conversations, and they don't reconcile. Grow the number. Spend less on the outside help that used to get the work done. And put AI to work in a way that shows up in revenue, not in a slide - all with the team they already have. The first wave of AI made the questions faster to answer and left the work exactly where it was: in a dev queue, behind a retainer, on an analyst's list. Merchants told Noibu they didn't need a faster answer. They needed the change made, and proof it worked. That is exactly what Noibu has launched to increase revenue for brands - from a one-person DTC team to an enterprise retailer. The six agents Noibu's agents span the operational surfaces that decide whether a store grows - not just the ones where it breaks: - CRO Agent - surfaces conversion opportunities from the store's own behavior and turns them into changes worth shipping. - A/B Testing Agent - writes experiments with a hypothesis, a success metric, and variations, then serves and reads them. - ADA Compliance Agent - finds and helps close accessibility gaps against WCAG standards. - Bug Resolution Agent - detects revenue-losing errors and writes the fix as a pull request. - Performance Agent - targets Core Web Vitals and site speed issues that cost sessions and rankings. - ROAS Agent - works the store's advertising return, finding where paid traffic is wasted or a journey leaks after the click. Each works from the same proprietary data layer - sessions, scroll depth, click maps, customer journeys, Core Web Vitals, errors, and checkout events - tied to the release that was live and the test variation each shopper saw, so "did it work" is a query rather than a meeting. Early results come from live stores across platforms: - At Totally Bamboo, one person runs all of direct-to-consumer across 600+ SKUs. An agent surfaced a product-data error that had been firing about 40 times a day for months and wrote the fix; it was live the next morning, turning two weeks of expected debugging into half a day. A collection-page filter tested off the store's own data converted 24% better, and 30 days later conversion was up 7% over the prior 30. A CLS score that had been in the red since 2024 went from 0.53 to 0.02. - At Creative Bag, a BigCommerce merchant with no in-house developers, the COO reviewed and shipped agent-written changes to production himself. - A brand group running eight storefronts off one small team syncs Core Web Vitals and errors across all of them each morning and shipped a same-day fix for a release-tied error spike that had sat unresolved for a week. - An ecommerce manager at a brand in trial traced a theme error firing 232,599 times in a single day, shipped the fix, watched the count drop to zero - and came back the following week to run the analysis that proved it. What makes the loop work Noibu's position is that the insight itself is now a commodity. Any capable model handed a conversion report can point to the drop-off. The hard part is everything after the suggestion: serving the change to the right visitors without breaking the page, logging every change as a release event the data can see, and joining it all to an unsampled, store-specific data pipeline so the result can be measured against a control. Those three pieces of plumbing, built per-platform across Shopify, Agentforce commerce, commercetools, Adobe Commerce, BigCommerce, and headless stacks, are what separate a working loop from what the company calls "a very confident intern." Availability Noibu's AI agents for ecommerce are available now to Noibu customers, with connectors into the AI clients merchants already use. Additional agents are in development and will roll out on a continuous basis. More information is available at noibu.com. About Noibu Noibu is AI for ecommerce operations, the always-on optimization system that keeps online stores running at their best. Deployed on a retailer's storefront, Noibu captures every site visit to reveal what's broken, slow, confusing, or leaking ad spend, and where the biggest opportunities to grow are hiding, then puts a team of supervised AI agents to work, turning those insights into action. Each agent owns an outcome, whether it's conversion, page speed, or ROAS - finding the work, doing the work, and handing results back for human approval. Noibu is trusted by leading retailers like Free People, Guess, Liquid I.V., Ariat, and more. Learn more at noibu.com. Media Contact Anthony Tavares Director of Marketing, Noibu [email protected] 416-837-5515

Noibu recognized as Agent Ready 2026 by MACH Alliance. Megan Glover July 9, 2026 Company news Tl;dr. * Noibu has been recognized as Agent Ready 2026 by MACH Alliance - a recognition given only to MACH-certified members with agentic work verified live in production, at scale. * Agent Ready is separate from and additional to MACH Certification. A working demo doesn't qualify; a deployed, independently reviewed agentic system does. * For ecommerce teams, it's a third-party proof point: Noibu's AI-driven work is real and running, not a roadmap promise. * The recognition reflects the Noibu plugin for Claude - an MCP-based integration that lets AI agents work directly with Noibu's ecommerce analytics and monitoring data. Noibu is officially Agent Ready 2026, recognized by MACH Alliance. Noibu has been recognized as Agent Ready 2026 by MACH Alliance - an independent verification that Noibu's agentic work is running in production, at enterprise scale, with the operational guardrails real deployment demands. Agent Ready is a separate recognition layered on top of MACH Certification: it confirms not just that a platform is open, composable, and connected, but that its agentic capabilities are live and working, not sitting on a roadmap. For ecommerce teams evaluating where AI actually delivers today, that distinction matters. What Agent Ready actually verifies. Plenty of software gets described as "AI-powered." Far less of it is running agentic work in production for real customers. That gap is exactly what the Agent Ready Award exists to close. A working demo and a deployed agentic system are not the same thing. Agent Ready is how MACH Alliance tells buyers which members have made that distinction real. MACH Certification tells buyers a vendor is open, composable, and connected. Agent Ready goes a step further. It identifies which certified members are delivering agentic work in production, at scale - and it's assessed against published criteria and reviewed independently, rather than self-reported. The recognition is earned, not automatic, and valid for 2026. Why Noibu qualified. Noibu earned the recognition under the Agent Ready criteria for software vendors: a brand built an agent integrating with Noibu's technology in production, using open standards rather than a proprietary black box. That integration is the Noibu plugin for Claude - built on MCP (the Model Context Protocol), the open standard the Agent Ecosystem initiative is built around. It lets AI agents work directly with Noibu's ecommerce analytics and monitoring data: surfacing conversion-blocking issues, pulling session context, and answering questions about site health without a human digging through dashboards first. That's the whole point of Noibu as a platform - proactive AI that tells teams what to fix instead of making them hunt for it. Agent Ready confirms that capability is doing that work in production, not in a sandbox. Agent Ready recognizes agentic work built on open standards like MCP and A2A - proving agentic AI can work across vendors, not just inside one closed platform. "Every ecommerce team we talk to is being sold AI right now, and almost none of it is actually running against their real store data. Agent Ready matters because it draws that line clearly;' it's proof our agentic work is live in production, not a slide in a roadmap. That's the only standard that counts." - Kailin Noivo, President & Co-Founder, Noibu What it means for ecommerce teams. If you're evaluating where AI genuinely adds value to your ecommerce stack right now, the hard question is always the same: what's actually running in production versus what's a slide in a pitch deck? Agent Ready gives you a documented, independently reviewed answer. For teams considering Noibu, it's third-party confirmation that the agentic capabilities aren't a promise for a future release - they're verified, live, and working against the operational guardrails enterprise deployment requires. That's the kind of proof point that belongs in an RFP or a shortlisting conversation, not a marketing headline. It also places Noibu in the first cohort of Agent Ready organizations alongside names like Adyen, Algolia, Amplitude, AWS, and commercetools - companies proving that agentic AI works across an open ecosystem rather than inside a single walled garden. The bigger picture. Noibu's reason for existing is to give ecommerce teams complete visibility into what's happening on their site, why, and what to fix first. As AI agents become part of how digital teams operate, that visibility has to be something agents can act on directly - not just a dashboard a human interprets after the fact. Agent Ready is external validation that Noibu is building toward that in a way that's open, verified, and already live. It's a starting point, not a finish line - this is the first cohort, and the criteria will evolve as the agent ecosystem matures. Frequently asked questions. What is the MACH Alliance Agent Ready Award? Which ecommerce analytics tools are Agent Ready in 2026? How did Noibu earn Agent Ready recognition? What's the difference between MACH Certification and Agent Ready? Why does Agent Ready recognition matter when choosing an ecommerce platform? Is Noibu an ecommerce analytics platform or an error monitoring tool? Related topics: Agentic AI only matters to your business when it's actually running against your real site data - not demoed, not roadmapped, but live. That's what Agent Ready 2026 verifies about Noibu, and it's the same standard Noibu Inc. hold ourselves to across the whole platform. About Noibu. Noibu is the leading ecommerce analytics & monitoring platform, purpose-built to help retailers protect and grow online revenue. By unifying site monitoring, experience analytics, and conversion growth opportunities in a single pane of glass, Noibu captures the most important end-to-end shopping data, without the complexity of traditional analytics tools. Noibu surfaces critical site errors, performance issues, and customer journey friction that block conversions, then ties every insight directly to business impact, session replays, and full technical context. This makes it easy for ecommerce teams to understand why things are happening and what to prioritize, without dedicated analytics headcount. The result: faster decisions, better collaboration across teams, optimized customer experiences, and revenue growth.