Ask
Ask a question about what is on screen. ZHOLY finds the useful information and gives you a clear answer.
It uses only information you allowed.
ZHOLY meets people inside the software they are already using. It understands approved context, helps complete work, and can teach the person as it goes.
Tell ZHOLY what you need in plain words. It reads the products on the page, compares them and shows the best match. Nothing is bought without your approval.
This preview does not claim a purchase, payment or verified inventory result.
You do not need to learn another piece of software. Say what you want to do, then choose how much help you need.
Try all four modesAsk a question about what is on screen. ZHOLY finds the useful information and gives you a clear answer.
It uses only information you allowed.ZHOLY shows you where to click, explains why, and waits while you complete the step.
You stay in control.ZHOLY completes the repeatable steps you approved, then asks before anything important happens.
It can only use actions you set up.ZHOLY does the work while showing every step. You see the result and learn the process.
The result is always checked.Start with the live store. Then see how the same ZHOLY can train a team and organize an entire trip.
Shoppers explain what they need in their own words. ZHOLY answers questions, compares products, and guides them to the right choice, like a great in-store expert.
Real Shopify storefront and page state. Demo merchant data. No payment is made.Try the storeZHOLY shows each employee what to do inside the hotel software itself. Their private Learning Passport lets it adjust the level of help without giving personal notes to the employer.
The company defines the approved workflow and sees authorised progress. The user’s private profile stays separate. No measured customer result is claimed.See hotel trainingZHOLY brings flights, hotels, cars, and protection together. If the trip is disrupted, it explains your rights and prepares the next step for your approval.
Simulated inventory and journey. No booking, reroute, charge, or claim is submitted.Try connected travelThis preview sequence shows the interaction contract. It does not pretend a payment or external workflow completed.

Forest green · compact footprint
Voice or typed intent received
You can see what ZHOLY understands, what it plans to do, when it needs your approval, and whether the real system accepted the result.
Read only the information the person has allowed and that the request actually needs.
Choose a safe route using only the tools and actions that have been approved.
Pause before purchases, submissions, messages, or other important changes.
Complete exactly the steps the person approved—nothing more.
Check what the real connected system returned before saying the task succeeded.
You choose each source: the page, your screen, your camera, or saved information. ZHOLY clearly shows what is active, and you can stop access at any time.
Open your private space to see receipts, saved preferences, your Learning Passport and temporary connections. The website you are visiting cannot open it or read it.
We scope one precise commercial workflow on one store, define the baseline, action boundaries, and success criterion, then run a controlled pilot. Scope, usage, support, and price are documented before activation.
Add-ons are activated only after pilot acceptance and are listed in your order form before activation.
Top-ups add minutes to the current billing period. They do not bypass pilot acceptance or plan limits.
Exact usage, add-ons, support, and availability are confirmed in writing before activation. No public application creates a purchase or account automatically.
The first cohort is deliberately controlled. Voice quality, browser behaviour, permissions, actions, and cost are launch gates—not footnotes.
Apply for the Founding BetaShopify merchants with a specific product-decision workflow, an observable baseline, and the ability to review pilot measurements with us.
One store, one commercial workflow, explicit action boundaries, controlled QA, and an agreed measurement scorecard.
The pilot compares the agreed workflow against your baseline. It does not guarantee conversion, savings, or performance.
Page, screen, camera, and configured actions remain separate permission states. Nothing in this application activates them.
If the workflow fits, you receive a proposed scope, measurement plan, commercial terms, and availability confirmation before activation. The application itself is not a purchase, activation, or performance guarantee.
The embed is supplied after a pilot scope is accepted. Every property, language, permission, action, and result path is qualified before launch; there is no instant or zero-configuration activation claim.
After acceptance, add the supplied script tag without replacing the existing interface.
Connect only the approved context and actions defined in the pilot scope.
Test permissions, confirmations, languages, failure paths, and result verification before launch.
Multilingual by design, with each language and browser combination qualified before it is marketed as production-ready.
Multilingual by design, with each language and browser combination qualified before it is marketed as production-ready.
The interface is designed to switch languages, but launch claims will list only the language and browser combinations that pass the human voice qualification matrix.
The first cohort is deliberately controlled. Voice quality, browser behaviour, permissions, actions, and cost are launch gates—not footnotes.
Start with the workflow that matters. We confirm compatibility, permissions and the exact connection scope before launch.
Explore public proof environmentsIndependent research shows where difficult interfaces create cost. ZHOLY's own impact is measured against each customer's baseline in a controlled pilot.
Model your own ROIaverage online cart abandonment across 50 studies.
Baymardissues resolved per hour with AI assistance in a peer-reviewed field study of 5,172 support agents.
Quarterly Journal of Economicsspent by UK employers on training in 2024; 5.7 days per trained person.
UK Employer Skills SurveyExternal benchmarks define the problem—not a promised ZHOLY uplift. Conversion, support, and training impact must come from customer pilot data; outcomes vary.
Vision is not one vague switch. Each source has its own permission, visible state, and stop control.
Phone calling is not currently available for self-service purchase or activation. We are validating reliability, consent, multilingual handling, transcripts, approved outbound workflows, and human handoff with a small pilot group before release.
Request private-pilot accessPilot scopeA controlled cohort will test real calls and failure recovery before this becomes a commercial feature.
People can see whether the microphone is active and stop the session.
Page, screen, and camera context are shown as separate states.
Submitting, sending, purchasing, or changing records must not be hidden inside conversation.
ZHOLY should report what the connected system returned—not what the model hoped happened.
ZHOLY is designed to make the controls European users and customers need visible: AI identification, explicit permissions, human confirmation, data transparency, and clear disclosure of AI-generated content where applicable.
This is a product-design commitment, not a certification. Before launch, the selected hosting location, subprocessors, retention, transfers, and deployment-specific legal responsibilities are documented with the customer.
ZHOLY can understand the current interface, answer from approved information, navigate, scroll, highlight, select, fill, and call configured action handlers. The business chooses the boundary, and consequential actions require confirmation.