Marketrix continuously “plays” with your product like a real user — clicking buttons, testing flows, and learning every screen and feature.
It builds a living map of your app — every workflow, setting, and pathway — and automatically keeps it updated whenever your product changes.
Marketrix blends what it learns with your docs, training videos, and FAQs to create a single, always-current product brain.
Users get instant help right inside your app. Marketrix can:
Tell Me give clear answers
Show Me walk through steps visually
Do It for Me complete the task automatically
Marketrix brings “Tell Me, Show Me, Do It for Me” support to complex products. Our agent continuously simulates your app to learn every screen and flow, then delivers real-time, on-screen guidance - or completes tasks for the user.
Result: faster onboarding, higher feature adoption, and far fewer support tickets.
Quick setup, better use of reconciliations and closes, ticket deflection.
Smoother quoting and approvals, higher adoption, fewer escalations.
Faster onboarding, guided claims/endorsements, fewer repeat tickets.
Rapid rollout, guided onboarding and payroll changes, fewer “how do I” requests.
Our agentic, simulation-based product understanding keeps pace with every UI or Workflow change. Marketrix delivers real-time, human-like guidance and hands-free task execution – so users finish work faster while support costs disappear.
Every user is guided to do exactly what they need to do
Administrators and end users are productive on day
Users master advanced features immediateluy
Software teaches itself and supports itself
Our core intelligence engine. It autonomously simulates your product - apps, workflows, and environments - to develop a real-time, spatial understanding of how users interact with your software. This drives all contextual guidance and automation.
A hands-free AI assistant that runs on top of any software. Available as a browser extension, desktop widget, or mobile app, it detects user context and automates tasks, guides interactions, and handles workflows across tools - without manual setup.
With Marketrix, Acme Cloud replaced static walkthroughs with live, AI-driven assistance — helping users master the platform twice as fast and reducing support tickets by 40%.
With Marketrix, Acme Cloud replaced static walkthroughs with live, AI-driven assistance — helping users master the platform twice as fast and reducing support tickets by 40%.
TrendHive integrated Marketrix to guide shoppers through complex product customization steps. Result: +23% higher conversions and happier customers who never felt “stuck.”
By embedding Marketrix into their ERP system, GlobalCore Solutions empowered employees with instant answers and hands-free task completion — freeing up their support team for strategic projects.
By embedding Marketrix into their ERP system, GlobalCore Solutions empowered employees with instant answers and hands-free task completion — freeing up their support team for strategic projects.
With Marketrix, Acme Cloud replaced static walkthroughs with live, AI-driven assistance — helping users master the platform twice as fast and reducing support tickets by 40%.
With Marketrix, Acme Cloud replaced static walkthroughs with live, AI-driven assistance — helping users master the platform twice as fast and reducing support tickets by 40%.
Marketrix’s Patented Continuous Simulation-Based Spatial Understanding redefines user assistance - combining real-time adaptability with visual, in-flow guidance and autonomous task completion. Explore our technical deep dive.
Artificial intelligence is revolutionizing industries and redefining the workplace. Adopting AI now means businesses can accelerate operations, cut costs, and gain a competitive edge. In regulated industries, however, blind trust in AI is not an option. AI agents often lack reliable safety guarantees. Business leaders seemingly have to choose between being left behind and taking unacceptable risks. However, that’s a false dilemma because there’s a way forward now.
Human-AI Synergy
Marketrix enables regulated organizations to take advantage of agentic AI right now without the inherent risks of fully autonomous systems. Marketrix empowers knowledge workers to get work done faster, avoid mistakes, and effortlessly perform at a higher level. Using AI to augment human capabilities keeps humans in control while AI technology radically expands what’s possible.
Generic copilots don’t deliver the full potential of AI technology in regulated industries. Rather than a separate copilot, Marketrix learns your applications–internal IT apps, enterprise SaaS, or popular consumer apps–and automatically incorporates the specialized and vertical market expertise of your employees. Marketrix gives users three different tools in one:
Why It Matters
Marketrix is ideal for work involving sensitive data or compliance risks. Empowering human users to directly supervise AI agent actions as part of their normal workflow delivers immediate business value while increasing AI acceptance and adoption. Marketrix allows AI to be used immediately in situations where full observability and audit logs must be linked to authorized human individuals.
| Industries | Use Cases | U.S. Regulations |
| Financial Services |
|
Dodd-Frank, SOX, BSA/AML, GLBA, FCRA, CFPB, SEC, FINRA; PCI-DSS |
| Healthcare & Life Sciences |
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HIPAA, HITECH, ACA, CMS, EMTALA; FDA 21 CFR Part 11; U.S. state laws (e.g., CCPA) |
| Energy & Utilities |
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Clean Air Act, Energy Policy Act, FERC, NERC CIP, OSHA, PHMSA, EPA; DOE cyber standards |
| Pharmaceuticals & Medical Devices |
|
FD&C Act, CGMP, DQSA, Controlled Substances Act; FDA 21 CFR Part 11 |
| Transportation & Aviation |
|
FMCSR, HOS, DOT, FAA, NTSB; OSHA |
Marketrix enables faster decision-making, fewer errors, and higher productivity across knowledge-intensive work, enabling humans to work faster, handle more complexity, and reduce time spent on repetitive tasks. At the same time, Marketrix de-risks AI adoption and use for organizations in regulated industries.
How It Works
Outside of leading AI labs, Marketrix is the only AI company that has broad positive impact across industries and applications. That’s not an accident. Marketrix isn’t yet another LLM wrapper. The secret is Spatial Understanding.
Marketrix is powered by a breakthrough Spatial Understanding model (patent pending) that fills the gap between AI agents and real world applications. Spatial Understanding is a multimodal model trained on web application user interfaces and user context, such as clickstreams and telemetry, product documentation, customer service and support data, customer reviews, and more. As a result, Marketrix understands web applications better than any human and can explain, demonstrate, or perform any task a human can perform in a web application without hardcoded workflows or scripted bots.
The Way Forward
Marketrix’s unique approach (Spatial Understanding) means that data access and operations involving sensitive data are controlled by human users through existing application user interfaces under the direct control of human users. This preserves accountability, compliance, and trust, which is critical in regulated industries. Marketrix gives regulated organizations the benefits of AI now without the risks.
About the Author
Ron Herardian is a Silicon Valley technologist and entrepreneur with over 25 years of experience in enterprise software, cybersecurity, and AI governance. A Stanford-educated expert and founder of the responsible-AI test lab Aethercloud, he has held leadership roles at Oracle, Cisco, SAP, and Capgemini, and co-founded Basil Security, where he pioneered blockchain-based policy-as-code solutions. Herardian advises startups and global organizations on AI risk, compliance, and governance frameworks, including the NIST AI RMF and EU AI Act. A frequent speaker and published author, he contributes actively to industry discussions on AI risks, cloud vulnerabilities, and emerging threats.
If you’re an e-commerce business owner, you’ve heard the buzz about Artificial Intelligence. It’s been the talk of the town for years, promising to personalize shopping and streamline operations. But while many were focused on AI as a helpful tool, a much more powerful evolution was taking shape. Welcome to the era of Agentic AI—and it’s not just the next big thing; it’s a market that’s already exploding.
Agentic AI isn’t just about smarter chatbots or better recommendation engines. It’s about autonomous, goal-driven systems that act as proactive partners for your business. Think of an AI that doesn’t just answer a customer’s question about a product, but proactively understands your customer’s needs and provides recommendations and even completes orders, all without direct human intervention at every step.
This shift from a reactive tool to a proactive, autonomous agent is fueling one of the most significant market expansions in technology today. For e-commerce brands, understanding the scale of this opportunity is the first step to capitalizing on it.
Let’s talk numbers, because they are staggering. While the general “AI in E-commerce” market is growing at a healthy rate, the specific segment of “AI Agents in eCommerce” is experiencing a meteoric rise.
In 2024, the market for AI agents in e-commerce stands at a formidable $3.6 billion. But the forecast shows this is just the beginning. Projections indicate this market will skyrocket to $282.6 billion by 2034, growing at a compound annual growth rate (CAGR) of an incredible 54.7%.
To put that in perspective, this hyper-growth far outpaces the broader AI market, signaling that the real value and investment are flowing into systems that can act autonomously. This isn’t a distant future; it’s a decade-long gold rush that’s starting right now.
Geographically, North America is leading the charge, commanding over 38.5% of the market with a value of $1.3 billion in 2024. The U.S. market alone is projected to surge from $1.1 billion in 2024 to $71 billion by 2034. This is driven by a culture of rapid technological adoption and a clear demand from businesses to enhance customer experiences and streamline operations.
While large enterprises like Walmart and Google are making headlines with their AI initiatives, the engine room of this growth is the small and medium-sized business (SMB) sector.
For years, SMBs have faced persistent challenges: finding and retaining customers (a top challenge for 54% of owners), managing marketing expenses, and converting visitors into paying customers. They’ve had to compete with the resources of giants, often with lean teams where owners wear multiple hats.
Agentic AI is emerging as the great equalizer. A recent survey conducted in partnership with PayPal revealed that the adoption of AI among small businesses has reached a “tipping point”.
These businesses aren’t just looking for efficiency; they’re seeking a competitive edge. The survey found that 77% of SMBs believe AI would have the greatest impact on marketing and customer engagement, and 53% see AI-powered cash flow forecasting as a solution to a “critical pain point”.
However, adoption isn’t without hurdles. SMBs cite the cost of AI, the lack of a clear strategy, and security concerns as major challenges to implementation. This highlights a crucial market need: accessible, secure, and easy-to-integrate agentic solutions that deliver clear ROI without requiring a data science team to manage.
The market has responded to this demand with a wave of new tools and platforms. The competitive landscape is bustling with players of all sizes:
While the field is crowded, a significant opportunity remains for platforms that deliver on the true promise of agentic AI. Many tools marketed as “agentic” are, in reality, advanced but still reactive automation systems. The real gap lies in providing SMBs with genuinely proactive and autonomous agents that can manage complex, multi-step workflows—like optimizing an entire customer journey or autonomously managing inventory based on real-time sales and marketing data.
The data is clear: the agentic AI market is not just growing; it’s exploding. For e-commerce SMBs, this isn’t a trend to watch from the sidelines. It’s a fundamental shift in how business will be done.
The transition to an agent-driven e-commerce landscape is well underway. Businesses that embrace this change will move from being reactive to proactive, freeing up valuable human resources to focus on strategy, creativity, and growth. The market is sending a clear signal: the future of e-commerce is autonomous, and it’s arriving faster than anyone expected.
Customer expectations have outpaced many of the support tools companies still rely on. Demo videos, scripted chatbots, and one-size-fits-all onboarding flows once felt modern, yet today they often frustrate more than they delight. During our recent LinkedIn Live, “AI Meets Customer Experience,” guest advisor Helen Dwight and our Cofounder & CEO Irosha de Silva unpacked why the gap is widening and how a new generation of “agentic” AI can close it.
Below is a summary of the discussion for those who missed the session.
Traditional Support Tools: Helpful Yesterday, Painful Today
The common thread is that these tools don’t adapt in real time, so they rarely match the diversity of customer usage.
The AI Dilemma: Customers Pump the Brakes, Leaders Hit the Gas
A 2024 Gartner study (Gartner Survey Finds 64% of Customers Would Prefer That Companies Didn’t Use AI For Customer Service, July 9, 2024) paints a striking picture:
At the same time, 60 percent of service leaders say they are under pressure to deploy more AI to reduce cost and scale faster.
This tug-of-war leaves enterprises asking: How much AI is enough – and how do we use it without alienating the people we serve?
To strike that balance, leaders need a clear playbook – one that treats AI as an enabler rather than a barrier. The goal is to keep the speed and scale advantages of automation while preserving the empathy and control customers expect. The principles below offer a practical starting point.
Principles for AI That Customers Welcome
A New Approach: Marketrix and Spatial Understanding
At Marketrix we started with a single, provocative question: What if software could support itself? Our platform builds a rich spatial model of every screen in your application, learning the buttons, menus, and permission states just as a seasoned power-user would. Once that map is in place, the AI can help customers in three escalating ways – so people get exactly the depth of assistance they need, when they need it and how they need it.
If confidence drops at any point, the system hands off to a human agent with full context, so the conversation never resets and precious time is saved.
Early pilots report a 20–30 percent reduction in “how do I?” tickets and a marked uptick in feature adoption – all without forcing a rip-and-replace of existing systems. For customers, it feels like working alongside a patient colleague; for enterprises, it frees human agents to focus on complex or revenue-driving work while preserving the empathy that keeps users loyal.
Key Takeaways for Enterprise CX Leaders
If you missed our full conversation, watch the replay here: https://www.youtube.com/watch?v=V5jlNQR8YzI and let us know your toughest CX challenge. Together we can build support experiences that are smart, scalable, and still unmistakably human.
Published by Marketrix – Intelligent interactions through simulated spatial understanding.
