Work

These are the projects we can show you.

Some clients are happy to be named, and they are named here. Others would rather their work stayed private. That is their call, and those projects are described exactly as they were built, without the name. All of it is real work.

Companies we have built for

Logos go up when the client has said yes, and come down the day they ask. Nobody appears here who has not agreed to it.

More clients than this have worked with us. These are the ones whose permission we have in writing.

Selected projects

The work we are free to publish. There is more of it than fits here, and more again that we can only talk through on a call.

Sports technology

Training platform powered by video analysis

Client name to add

A marketing site, a web application, an iOS app, AI movement analysis and lead capture: one client, five connected pieces built to work as one product.

  • Marketing site
  • Web app
  • iOS app
  • AI analysis
  • Lead capture
Retail

Modest fashion store

Client name to add

A Shopify storefront with the product catalog, variants and payment integration set up around how the range is actually browsed.

  • Shopify
  • Catalog
  • Payments
Healthcare

Billing workflow platform

Name withheld at the client's request

A marketing site to bring inquiries in, and a separate workflow application for the team handling them.

  • Marketing site
  • Web application
  • Workflow
Security

Product website for a security tool

Client name to add

A content-managed site for a technical product, built so the team can publish without a developer.

  • WordPress
  • Content management
Software

Studio and product company sites

Name withheld at the client's request

Two portfolio sites for companies that build software themselves, which is a high bar and a useful one.

  • WordPress
  • Portfolio
  • Performance
Community

Members platform

Name withheld at the client's request

A members community built as an application rather than a site, with messaging and member profiles.

  • React
  • Node
  • Messaging

Websites, search and recovery, case by case.

Sites built to do a job: price a service, win a trade inquiry, grow without a developer. Plus one site taken back from an attacker.

Home services, Switzerland

Pricing a niche installation service before anyone calls

CatDoors

The problem

A customer's first three questions, namely can you even do this to my window, what will it cost, and will my landlord allow it, all had to be answered before they would make contact at all.

What we built

A site that prices the job on the spot, takes a photo instead of a site visit to start, and answers the renter's objection on the page. Built in four languages for a four-language market.

  • Website
  • Local SEO
  • Multilingual
  • Lead capture
Read the case study
Data and AI consulting, United States

A consulting site built to carry a service tree that keeps growing

Collectiv

The problem

A consultancy selling complex, high-value work to finance and analytics leaders, across a service list that was wide, deep, and changing every quarter.

What we built

A site structured so each service, each migration and each program has a page of its own, with proof and a single way to start a conversation attached to all of them.

  • Website
  • SEO
  • Content structure
  • Lead capture
Read the case study
Trades, Seattle area

Winning a trade job before the estimator arrives

Peacock Painting

The problem

Homeowners choosing a painter are not comparing prices first. They are deciding who they are willing to let into the house for a week.

What we built

A site that answers the trust questions before the quote form: the process, the warranty terms, the licensing, before-and-after work, and the towns actually served.

  • Website
  • Local SEO
  • Service pages
  • Quote capture
Read the case study
Legal, Maryland

A signed-off design, built so the firm can grow it themselves

Law Offices of Alex Poberesky

The problem

A law firm with a long list of practice areas and a long list of places it serves, which means a page count that only goes up, and a design that had already been approved and had to be built exactly.

What we built

The approved design built faithfully, on templates: the firm adds a new practice area or a new location itself, and it comes out matching everything else.

  • Website
  • WordPress
  • Template system
  • Content growth
Read the case study
Website security

A hacked site sending visitors to a casino blog

The problem

Visitors typing in the company's own address were being redirected to a casino blog. The malware was inside the database, so clearing the browser cache or reinstalling a plugin changed nothing.

What we built

The injected code found and removed, the database and files cleaned, the core replaced with verified copies, and the way back in closed behind it.

  • Security
  • Malware removal
  • Hardening
  • Recovery
Read the case study
Family law, Ontario

An intake form that protects the firm as well as the client

Sage Law Group

The problem

People search for a family lawyer at their worst moment, from towns across a wide region, and a law firm cannot take an inquiry the way an ordinary business can.

What we built

Town-by-town reach into the places the firm serves, and a consultation request that collects what is needed for a conflict check without implying anybody has been taken on.

  • Website
  • Local SEO
  • Intake
  • Professional services
Read the case study

E-commerce and paid social, case by case.

Stores and the advertising around them: a product that needs explaining, a catalog of ten thousand wines, an institutional buyer on a consumer platform.

Lawn and garden, United States

Selling a product people have to understand first

Organic REV

The problem

The flagship product is not a fertilizer, and says so. A product that has to be explained before it can be sold is a hard thing to put in a thirty-second ad.

What we built

A store that teaches before it asks for the order, a five-dollar sample as the thing the ads actually sell, and bundles that make the system make sense.

  • Shopify
  • Paid social
  • Catalog ads
  • Conversion
Read the case study
Wine and spirits, worldwide

Ten thousand wines, six languages, and rules that change at every border

Portugal Vineyards

The problem

An international buyer who does not know a single one of these producers, shopping a catalog of more than ten thousand products, and alcohol advertising that is governed differently in every market.

What we built

Critic scores and awards doing the recommending, a store that speaks the buyer's language and prices in their currency, and advertising run inside each market's alcohol rules.

  • E-commerce
  • Paid social
  • Multi-currency
  • Catalog ads
Read the case study
Medical education supply, international

Reaching an institutional buyer on a consumer platform

Pocket Nurse

The problem

The customer is a simulation lab manager working to a budget and a procurement process, and the channel was built for people buying things for themselves.

What we built

Advertising aimed at the professional rather than the consumer, pointed at the international storefront, and judged on quote and catalog requests rather than on checkouts.

  • Paid social
  • B2B e-commerce
  • International
  • Lead capture
Read the case study
Restaurant, San Francisco Bay Area

Filling tables on the nights that need filling

Sipeos Restaurant & Bar

The problem

A restaurant's advertising has one job, which is people through the door this week, and the thing that makes this one worth visiting is not something a photograph of food can say.

What we built

Advertising built on what actually makes the place different, pointed at the booking and ordering the restaurant already runs, and aimed at the distance people really travel for dinner.

  • Paid social
  • Local
  • Hospitality
  • Bookings
Read the case study
Salon and spa, Georgia

Two locations, one brand, and work that has to be seen

Muse Salon and Spa

The problem

Hair and skin work is judged by eye, the two locations sit close enough to compete with each other, and the booking happens in a system the website does not own.

What we built

A site built around the salon's own work, advertising made per location and per platform, and a clean hand-off into the booking system for the right branch.

  • Website
  • Paid social
  • Multi-location
  • Bookings
Read the case study

AI and automation, case by case.

Eight systems built for clients whose repetitive work had outgrown the people doing it. Each one starts with what was actually going wrong, and ends with what is different now.

Crypto community

Community management assistant

Client name to add

The problem

A community that size asks the same questions around the clock, faster than any team can answer them. People who wait for an answer do not wait long.

What we built

An assistant that answers instantly in the channels members already use, remembers the conversation it is in, and hands anything outside its scope to a person.

  • AI assistant
  • Community
  • 24/7 coverage
Read the case study
Outreach

Marketing agent across Telegram, WhatsApp and email

The problem

Running outreach on three platforms meant three systems, three lists and somebody keeping them in step by hand.

What we built

One control room: a campaign is written once and goes out across email, WhatsApp and Telegram, with the audience held in a single place.

  • Marketing automation
  • Multi-channel
  • Lead generation
Read the case study
Trading community

Exchange account verification and access bot

The problem

Every new member's exchange account had to be checked by hand before they could be let into the private group, so joining stalled whenever nobody was free to check.

What we built

Verification happens automatically against the exchange, and a verified member is sent their private invite immediately, with no human step in between.

  • Workflow automation
  • Verification
  • Onboarding
Read the case study
International services

Multilingual AI receptionist

The problem

Inquiries arrived from several countries, in several languages, and often at hours when nobody was at a desk.

What we built

A receptionist that answers in the inquirer's own language around the clock, books the appointment during that first conversation, and records every inquiry for the team.

  • AI assistant
  • Multilingual
  • Booking
  • Lead capture
Read the case study
Retail and pricing

Competitor price and market tracking

The problem

Pricing was being set on instinct, because checking competitor prices across dozens of sites every day is nobody's job for long.

What we built

Prices are collected automatically every morning, cleaned into one comparable format, delivered to the team's dashboard and kept as history.

  • Data automation
  • Daily reporting
  • Dashboard
Read the case study
Media and creators

Content research and ideation engine

The problem

Deciding what to make next means reading the market every day, covering what competitors published, what traveled and what the audience said, and nobody has time to do that by hand.

What we built

A research engine that reads the market daily and weekly, analyzes what performs, summarizes audience comments, and comes back with ideas the team can act on.

  • AI research
  • Content strategy
  • Audience insight
Read the case study
Media and creators

Video clipping and distribution pipeline

The problem

Turning long videos into short clips, writing the copy and getting them out is a manual chain, and it breaks the week the person running it is busy.

What we built

New videos are picked up automatically, cut into clips, given draft marketing copy, and delivered to the team ready to review and publish.

  • Content automation
  • Short-form
  • Distribution
Read the case study
Trading community

Market analysis and alerts bot

The problem

The data this community relied on sat across several sources, and gathering it by hand took longer than the moment it described lasted.

What we built

The sources are pulled together automatically, the client's own rules are applied to them the same way every time, and the result is posted into the channel the community already watches.

  • Workflow automation
  • Alerts
  • Market data
Read the case study

On naming clients

Ten of the projects below name the client. Some do not, and it is worth saying why.

Named where they said yes

Where a client has agreed in writing, their name and logo are on this page. That permission is theirs to give and theirs to take back, and we treat it that way.

Described where they did not

Some clients would rather their work stayed private. We do not argue with that. The project is still here and described exactly as it was built. The name simply is not.

More than a page can hold

There is work we cannot publish at all. On a call we can walk you through it, including what went wrong on a project and what we would do differently now.

The kinds of work this covers.

Across the projects above and the rest of what we do.

Websites and applications

Marketing sites, content-managed sites, portals and custom applications where a standard site would not do.

Stores

Shopify and WooCommerce builds, with catalog, payments and the marketing connected around them.

AI and automation

Assistants, analysis built into a product, lead handling, and the workflows between systems.

Want to see more than this page shows?

We can walk you through the projects that are not published, how each one was connected, and what we would do differently now.

hello@aniverx.com +92 310 4841746 Aniverx LLC, Connecticut, USA

Case study / Home services, Switzerland

Pricing a niche installation service before anyone calls

Aniverx
IndustryHome services, Switzerland
ServiceWebsite and SEO
ClientCatDoors
Websitecatdoor.ch

Project overview

A Swiss company that fits cat doors into glass, doors, panels and walls without replacing the customer's original pane. The service is unusual enough that people did not know whether it was possible for their home, so the website's job was to answer that before asking for anything.

The problem they came with

  • Nobody knew the service existedPeople searching for this do not know the solution has a name. They search for the problem, so a cat, a glass door, a rented flat, which is a very different set of words from the ones a company uses about itself.
  • Three objections before any inquiryIs it possible for my window, what will it cost, and can I do it in a rented flat? Any site that left one of those unanswered was going to lose the inquiry to a competitor or to doing nothing.
  • Four language regions, one countrySwitzerland is not one market. A site in German alone is invisible to a large part of the country, and translation alone does not make a page findable in another language.

What we built

  • A price before any contactA calculator gives an estimate on the page, and the installation prices are published rather than hidden behind a form. Nobody has to speak to anyone to find out whether this is within reach.
  • A photo instead of a site visitThe first step is sending a photo, by WhatsApp or email. It costs the customer thirty seconds and gives the company enough to quote from, so the on-site measurement happens only when the job is real.
  • The renter's objection answered on the pageThe original pane is removed, kept, and can go back when the tenancy ends. That is the sentence that unlocks a large part of this market, so it sits on the page rather than waiting for a phone call.

The results

  • A visitor can find out what the job costs without speaking to anybody.
  • Inquiries arrive with a photo attached, so the first reply can be a real answer rather than a request for more information.
  • The question that used to end the conversation, "I'm renting", is answered before it is asked.
  • The site works in German, French, Italian and English, so the company is reachable across the whole country rather than one part of it.

In short

The site does the qualifying. By the time somebody makes contact they know it is possible, roughly what it costs, and that renting is not a problem, which is a very different conversation to start from.

aniverx.com

Case study / Data and AI consulting, United States

A consulting site built to carry a service tree that keeps growing

Aniverx
IndustryData and AI consulting, United States
ServiceWebsite and SEO
ClientCollectiv

Project overview

A US consultancy helping organizations modernize their data platforms and adopt AI. The buyer is a CFO, an FP&A director or a BI lead doing research over weeks, not a visitor making a quick decision, so the site had to be a reference rather than a brochure.

The problem they came with

  • A service list too wide for one pageStrategy, architecture, implementation, managed services, training, accelerators and migrations, each with their own buyer and their own vocabulary. Flattening that into one services page would have made every one of them invisible.
  • The buyer arrives mid-researchSomebody comparing platforms or planning a migration is not looking for a sales pitch. They are looking for an answer, and they will trust the company that gave it to them.
  • Proof scattered away from the pitchCase studies, partner status and client results existed, but they were not sitting next to the services they proved, which is where they actually do their work.

What we built

  • A page for every real searchEach service, each program and each platform migration gets its own page, so somebody searching for their exact situation lands on a page about it rather than on a general one.
  • Proof placed next to the pitchCase studies, partner recognition and client outcomes sit with the service they belong to instead of in a separate section nobody visits.
  • One way in, on every pageWherever a visitor lands, the next step is the same short conversation request. No maze, no alternative routes competing with each other.

The results

  • Every service has a page that can be found on its own terms, rather than a line on a list.
  • Somebody researching a specific migration lands on a page about that migration.
  • The evidence sits beside the service it supports, where a buyer is already deciding.
  • New services and accelerators can be added to the structure without rebuilding it.

In short

The site was built as a reference for people doing their homework, because that is what this buyer is actually doing when they arrive.

aniverx.com

Case study / Trades, Seattle area

Winning a trade job before the estimator arrives

Aniverx
IndustryTrades, Seattle area
ServiceWebsite and local SEO
ClientPeacock Painting

Project overview

A family-owned painting contractor working across the Seattle Eastside and the wider county. Inquiries come from local search, and the decision is made on trust long before anyone talks about price.

The problem they came with

  • The real objections are never about paintHow many people will be in my house, how long will it take, what happens to my furniture, are you insured, what if it goes wrong. A site that lists services and asks for a phone number answers none of them.
  • Local search is the whole funnelPeople search for a painter in their own town. Being a regional company is no help if the page does not speak about the specific place somebody is typing.
  • Proof that had to be seen, not claimedPainting is judged by eye. Any amount of writing about quality is worth less than one before-and-after photograph of a room like theirs.

What we built

  • The objections answered in the openCrew size, timelines, furniture protection, warranty terms and licensing are written on the site, not held back for the estimator to handle.
  • Built for the towns, not the regionEach service is covered for the places the company actually works, so a search in one of those towns finds a page about that town rather than a county-wide page.
  • Before and after, by job typeInterior, exterior and cabinet work each have their own visible evidence, so a visitor sees the kind of job they are about to ask for.

The results

  • The questions that used to take the first ten minutes of an estimate are answered before the visit.
  • Quote requests arrive saying which job it is, so the estimate can be prepared rather than discovered.
  • The company is findable in the individual towns it serves, not only as a regional name.
  • A homeowner can see work of their own job type before they decide to make contact.

In short

The site does the reassuring, so the estimator arrives at a conversation about the work rather than a conversation about whether to trust the company.

aniverx.com

Case study / Legal, Maryland

A signed-off design, built so the firm can grow it themselves

Aniverx
IndustryLegal, Maryland
ServiceWebsite build
ClientLaw Offices of Alex Poberesky

Project overview

A personal injury and criminal defense firm serving Maryland, Virginia and Washington DC. The design was finished and approved before the build began, and the real requirement was everything that happens after launch: new practice areas, new towns, new articles, all without a developer.

The problem they came with

  • The design was already signed offAn approved design is a promise. Building something that is nearly it is how a client ends up disappointed by a site that is technically finished.
  • The page count only growsPractice areas multiplied by locations is not a fixed number. Hand-building each page would have meant the firm paying a developer every time it wanted to be found somewhere new.
  • One action, from any pageA visitor arriving on a page about one accident type, in one town, at eleven at night, needs the same single obvious next step as everybody else.

What we built

  • Built to the design, not near itThe approved design was built faithfully, so what was signed off is what went live.
  • Templates rather than pagesPractice areas, locations and articles run on templates. The firm fills in the content and the page comes out consistent with the rest of the site.
  • The free case review, everywhereEvery page ends in the same action, so no visitor has to go looking for how to start.

The results

  • The site that went live is the design that was approved.
  • The firm adds practice areas, locations and articles itself, without a developer and without the layout drifting.
  • Every new page is consistent with the ones already there, however many get added.
  • Any page a visitor lands on offers the same single next step.

In short

The build was the easy half. What was really delivered is a site the firm can keep growing for years without coming back for permission.

aniverx.com

Case study / Website security

A hacked site sending visitors to a casino blog

Aniverx
IndustryWebsite security
ServiceRecovery and hardening
Client

Project overview

A compromised WordPress site was redirecting its own visitors to a casino blog. Every day it stayed up was traffic lost, reputation spent, and a growing risk of being flagged by browsers and search engines. Aniverx cleaned it and closed the hole that let it happen.

The problem they came with

  • The damage was public and immediateCustomers, not an audit, were finding it. Every visitor sent to a casino page is a customer who now thinks the company was careless, whether or not they come back.
  • The infection was in the databaseIt was not a bad file somebody could delete. Injected code in the database survives the obvious fixes, which is why the problem kept returning for whoever tried first.
  • Cleaning is only half the jobA site cleaned and left as it was gets infected again, usually within days, through exactly the same door.

What we built

  • Found and removed, in files and databaseThe malicious code was traced and removed from both the site files and the database records it had been written into.
  • Core files replaced with verified copiesRather than inspecting each one, the WordPress core was replaced with fresh, known-good files, so nothing tampered with was left in place.
  • The way back in closedAccess was hardened and two-factor authentication put on the accounts that can change the site, so a stolen password is no longer enough on its own.

The results

  • Visitors reach the company's own site again, not a casino page.
  • The infection is gone from the database as well as the files, so it does not come back on the next page load.
  • Signing in to change the site now needs a second factor, not just a password.
  • The site is being watched, so a next attempt is noticed by the owner rather than by a customer.

In short

Getting the site clean took hours. Making sure it stayed clean was the part that mattered, and it is the part most clean-ups skip.

aniverx.com

Case study / Family law, Ontario

An intake form that protects the firm as well as the client

Aniverx
IndustryFamily law, Ontario
ServiceWebsite and local SEO
ClientSage Law Group

Project overview

A family law firm in Barrie serving Simcoe County and much of southern Ontario. Family law inquiries arrive in distress, at any hour, from a wide area, and every one of them carries a professional obligation the moment it is read.

The problem they came with

  • The inquiry itself carries riskA form that invites somebody to describe their case can create an expectation of representation, and can take in details about a matter the firm may be unable to act on.
  • A wide region, searched town by townSomebody in one town does not search for a firm in another. Being a regional practice counts for nothing if the page does not speak about the place being searched.
  • The cost question goes unaskedPeople assume a family lawyer is beyond them and never make contact. The question is only unasked, not unimportant.

What we built

  • An intake built for a conflict checkThe consultation request collects the opposing party's name and the client's availability, so the firm can check for a conflict before anything confidential is shared.
  • Said plainly on the formThe form states that sending it does not create a solicitor-client relationship, and advises against sharing confidential detail until the firm confirms it can act.
  • The towns, and the money, both on the pageEach area the firm serves has a page of its own, and the fee question is answered openly rather than left for somebody to be afraid of.

The results

  • An inquiry arrives with what the firm needs to run a conflict check before reading any further.
  • Nothing on the form implies the firm has taken the matter on.
  • People searching in the towns the firm serves find a page about their own town.
  • The cost question is answered before the consultation, so the call starts on the case rather than on the bill.

In short

In professional services the intake is part of the practice, not a contact form. This one does the firm's first piece of due diligence before anybody picks up the phone.

aniverx.com

Case study / Lawn and garden, United States

Selling a product people have to understand first

Aniverx
IndustryLawn and garden, United States
ServiceE-commerce and paid social
ClientOrganic REV

Project overview

An organic soil and plant health brand selling to home gardeners and to professionals such as landscapers, organic farms and golf courses, all from one store. The products work as a system across a growing season, which is a harder sale than a single bottle, and the advertising had to account for that.

The problem they came with

  • The product needs explainingIt is a biological soil stimulant, not a fertilizer. Someone who thinks they are buying plant food will be disappointed, and someone who does not understand the difference will not buy at all.
  • Two buyers, one storeA home gardener with a lawn and a golf course grounds team want the same product for different reasons, at wildly different quantities, and respond to completely different advertising.
  • A first purchase that is too big an askAsking a stranger to spend properly on something they have never used, and whose effect takes a season to show, is a lot to expect from one ad.

What we built

  • The store teaches before it sellsHow-to guides, a free course and real customer reviews sit on the path to the order, so the product is understood by the time the basket matters.
  • A small sample as the offerThe advertising sells a five-dollar trial rather than the full product. It is a decision somebody can make immediately, and it starts a relationship the brand can build on.
  • Bundles that match how it is usedThe products are used together across a season, so they are sold that way, which also carries an order over the free-shipping threshold instead of stopping short of it.

The results

  • The advertising asks for a five-dollar decision instead of a full-price one from a stranger.
  • Someone arriving from an ad reads what the product actually is before being asked to buy it.
  • Bundles turn a single-bottle order into the system the product is designed to be used as.
  • Spend is judged on orders rather than on clicks and reach.

In short

A product that needs explaining does not need a cleverer ad. It needs an ad that asks for something small, and a store that does the explaining when they arrive.

aniverx.com

Case study / Wine and spirits, worldwide

Ten thousand wines, six languages, and rules that change at every border

Aniverx
IndustryWine and spirits, worldwide
ServiceE-commerce and paid social
ClientPortugal Vineyards

Project overview

An online store for Portuguese wines, spirits and gourmet goods, selling internationally from Porto. The catalog runs past ten thousand products, most of them from producers an overseas buyer has never heard of, and alcohol is one of the most tightly governed categories there is to advertise.

The problem they came with

  • The buyer cannot recognize a single namePortuguese producers are not familiar outside Portugal. Without something to judge by, a buyer faced with ten thousand bottles does not choose carefully. They leave.
  • Alcohol advertising is governed by territoryAge restrictions, permitted claims and whether the category can be advertised at all vary country by country. Running one campaign everywhere is how an account gets shut down.
  • Price and language decide the sale quietlyA buyer who has to convert the currency in their head, or read about wine in a second language, abandons the basket without ever saying why.

What we built

  • Let the critics do the recommendingScores, medals and awards are surfaced on the products and made browsable, so a buyer with no knowledge of the producer still has a way to choose.
  • The store meets the buyer where they areSix languages and more than a dozen currencies, so the price someone sees is the price they understand without arithmetic.
  • Campaigns scoped per marketAdvertising is run inside each territory's alcohol rules and age requirements rather than as one global campaign that breaks in half of them.

The results

  • A buyer who knows no Portuguese producers can still narrow ten thousand wines down to a shortlist.
  • Prices are shown in the buyer's own currency, in their own language, before they reach the basket.
  • Advertising runs within each market's alcohol rules rather than risking the account on one global campaign.
  • The catalog itself does the merchandising, so the ads can show wines a visitor has already shown interest in.

In short

In a catalog this size, the work is not persuasion. It is giving a stranger a way to choose, and keeping the advertising legal in every country it runs in.

aniverx.com

Case study / Medical education supply, international

Reaching an institutional buyer on a consumer platform

Aniverx
IndustryMedical education supply, international
ServicePaid social for e-commerce
ClientPocket Nurse

Project overview

A supplier of medical education and healthcare simulation equipment, including simulated medications, manikins, diagnostics and lab furniture, sold to nursing and allied health programs. The international storefront serves buyers outside the US, and the advertising had to work for a buyer who does not behave anything like a retail customer.

The problem they came with

  • An institutional buyer, not a shopperA lab manager does not add a manikin to a basket on impulse. There is a budget cycle, a procurement process and usually somebody else who signs.
  • A professional audience on a consumer channelThe platform is built around personal interests. Finding people who run a healthcare simulation program takes a different approach from finding people who like a product.
  • Medical creative draws scrutinyAnything that looks like a medical claim or a clinical image gets reviewed closely, and a rejected account is a stopped campaign, not a slow one.

What we built

  • Written for the person who runs the labThe advertising speaks to educators and program leads in their own terms rather than talking to a general audience about medical products.
  • Pointed at the right storefrontTraffic lands on the international store, with the right currency and ordering routes, rather than on a US page that cannot serve them.
  • Judged on the inquiry, not the checkoutA catalog request or a quote is the step that matters for this buyer, so that is what the spend is measured against.
  • Creative built to pass reviewClaims and imagery are kept inside what the platform permits, so campaigns keep running instead of being pulled mid-flight.

The results

  • Spend is measured against the step this buyer actually takes: a quote or a catalog request.
  • International visitors land on the storefront that can serve them, in a currency they can order in.
  • The advertising speaks to the person who specifies the equipment rather than to a general audience.
  • Campaigns stay live, because the creative is built for a platform that reviews this category closely.

In short

The channel was not designed for this buyer. Making it work meant changing what counts as a conversion, not shouting louder at the wrong people.

aniverx.com

Case study / Restaurant, San Francisco Bay Area

Filling tables on the nights that need filling

Aniverx
IndustryRestaurant, San Francisco Bay Area
ServicePaid social
ClientSipeos Restaurant & Bar

Project overview

A vegetarian Mediterranean restaurant and bar in the East Bay, with a drinks list built so that people who do not drink are not an afterthought. Both of those are unusual, and both are reasons to choose it, but only if the advertising says them.

The problem they came with

  • The differentiator is not visualA photograph of a plate looks like every other restaurant photograph. What makes this place worth the drive, the menu it serves and the bar it runs for people who are not drinking, has to be said rather than shown.
  • A catchment, not a cityPeople drive a certain distance for dinner and no further. Advertising to a metropolitan area spends most of the budget on people who were never going to come.
  • The result is a booking, that weekReach and engagement are not the point. A restaurant needs covers on a given night, which is a much shorter and more demanding chain.

What we built

  • Led with what makes it differentThe advertising carries the actual reason to choose this place rather than a generic appetite appeal.
  • Scoped to the real catchmentAudiences are built around the distance people genuinely travel for a meal, rather than a whole metro area.
  • Pointed at booking and orderingAds lead to the reservation and the online order the restaurant already runs, so the shortest route to a cover is the one that is offered.

The results

  • The advertising says the thing that makes the restaurant worth choosing, rather than showing food that looks like everyone else's.
  • Budget goes to people inside the distance they would actually drive.
  • Every ad leads to a reservation or an order rather than to a page.
  • Spend is judged against covers and orders, not against reach.

In short

Restaurant advertising is not a branding exercise. It is this week's tables, and everything in the campaign is pointed at that.

aniverx.com

Case study / Salon and spa, Georgia

Two locations, one brand, and work that has to be seen

Aniverx
IndustrySalon and spa, Georgia
ServiceWebsite and paid social
ClientMuse Salon and Spa

Project overview

A salon and spa with two locations in the same part of Georgia, offering hair, color, extensions, skin treatments and massage. The work sells itself when people can see it, so the site and the advertising were both built around showing it.

The problem they came with

  • The work is the proofNobody books a colorist on a description. They book on seeing hair that looks like what they want, done by this salon.
  • Two locations close togetherTwo branches in neighboring towns can easily spend the same budget bidding for the same person, and send them to the wrong one when they arrive.
  • The booking lives somewhere elseAppointments are taken in a dedicated salon system. The website and the advertising have to hand over to it cleanly, or the booking is lost at the last step.

What we built

  • Built around the galleryThe site is organized so the salon's own work is what a visitor sees, by service, rather than stock photography of somebody else's.
  • Advertising split by locationEach branch is advertised to its own area and sends people to its own booking, so the two do not compete for the same person or send them across town.
  • Creative made for the platform it runs onShort vertical video for one platform, stills and carousels for another, instead of the same asset pushed everywhere.

The results

  • A visitor sees the salon's actual work, by service, before deciding to book.
  • Each location advertises to its own area and books into its own calendar.
  • The hand-off from ad to booking system is one step, not a search for how to book.
  • Creative suits the platform it appears on rather than being reused across all of them.

In short

For work that is judged by eye, the job is to show it and then get out of the way of the booking.

aniverx.com

Case study / Crypto community

Community management assistant

Aniverx
IndustryCrypto community
ServiceAI assistant
ClientName to add

Project overview

One of the larger crypto communities, with members in every time zone asking the same questions continuously. Moderation had become a volume problem rather than a judgment problem. Aniverx built an assistant that answers instantly, inside the channels the community already lives in.

The problem they came with

  • Volume no team could matchThe same questions arrived continuously, at every hour, from a membership spread across the world. Answering them properly would have meant a moderation team several times the size, awake around the clock.
  • Answers that had to be rightIn a community built on market information, an improvised answer is worse than a slow one. Anything automated had to answer from the community's own rules and history, not from guesswork.
  • Members do not queueAn unanswered question in a live chat is not a ticket waiting to be picked up. The person leaves, or asks somebody less reliable.

What we built

  • It answers from the community's own materialThe assistant works from the rules, documentation and past answers the community already had, so what it says is what the team would have said.
  • It remembers the conversationFollow-up questions are understood in context rather than treated as a fresh start, which is the difference between a conversation and a search box.
  • It knows where it stopsAnything outside its scope goes to a moderator with the whole exchange attached, so the member is not asked to explain themselves twice.

The results

  • Members get an answer in seconds, at any hour, instead of waiting for a moderator to come online.
  • Moderators stopped answering the same questions over and over and now spend their time on the ones that need judgment.
  • Every member gets the same answer to the same question, so what circulates in the community stays consistent.
  • The community can keep growing without the moderation team growing with it.

In short

The assistant did not replace the moderation team. It took the part of their work that was pure repetition, and handed back the hours that were going into it.

aniverx.com

Case study / Outreach

Marketing agent across Telegram, WhatsApp and email

Aniverx
IndustryOutreach
ServiceMarketing automation
Client

Project overview

Outreach was running across three platforms through three separate tools, each with its own copy of the audience. Aniverx replaced that with a single control room, so a campaign is written once and sent everywhere it needs to go.

The problem they came with

  • Three systems, three listsEmail, WhatsApp and Telegram each had their own tool and their own version of the audience. Keeping them aligned was a manual job, and manual jobs quietly go wrong.
  • Volume limited by a personHow many people a campaign reached depended on how much one person could send and track in a day, not on how many were worth reaching.
  • No single viewNobody could answer what had been sent, to whom, on which channel, without opening three tools and reconciling them by hand.

What we built

  • One place to launch fromA campaign is composed once and sent across all three channels from a single interface.
  • One audience, not threeThe list lives in one place, so the channels cannot drift apart from each other.
  • Built to be changedThe flow is visible and adjustable by the team rather than locked away, so the campaign structure can change as the business does.

The results

  • A campaign now goes out across all three channels from one interface, written once.
  • The audience is maintained once instead of three times, so the channels stopped disagreeing with each other.
  • Sending volume is no longer capped by how fast somebody can copy and paste.
  • The team can see what was sent, where, without opening three tools.

In short

Three jobs kept in step by hand became one job, run from a tool the team already had open.

aniverx.com

Case study / Trading community

Exchange account verification and access bot

Aniverx
IndustryTrading community
ServiceWorkflow automation
Client

Project overview

Access to a private trading group depended on someone manually checking each applicant's exchange account. Aniverx automated the check and the invite, so joining no longer waits on a person being available.

The problem they came with

  • Onboarding stalled on availabilityEvery applicant needed a manual check before being let in. Outside working hours, which is most hours for a global membership, that meant waiting.
  • The delay cost the sign-upPeople are at their most engaged in the minutes after they commit. A queue at exactly that moment is where they go quiet.
  • Repetitive, and therefore error-proneThe same lookup repeated hundreds of times is precisely the task where mistakes creep in and nobody notices.

What we built

  • The check happens automaticallyThe applicant's account is confirmed against the exchange itself rather than taken on trust.
  • Access follows immediatelyOn a successful check, the private invite is issued and sent without anyone being asked to do it.
  • It runs continuouslyThree in the morning works the same way as the middle of the afternoon, including at weekends.

The results

  • A verified member is inside the group within moments of applying, at any hour.
  • Onboarding no longer stops overnight or at weekends, and the backlog that used to build up has gone.
  • Access is granted on checked data rather than on somebody's judgment call.
  • The team stopped spending their day on identical lookups.

In short

Onboarding stopped being a queue. The step that used to need a person is now the fastest part of joining.

aniverx.com

Case study / International services

Multilingual AI receptionist

Aniverx
IndustryInternational services
ServiceAI assistant
Client

Project overview

A business with customers in several countries was losing inquiries to time zones and to language. Aniverx deployed a receptionist that answers whenever an inquiry arrives, in the language it arrives in, and turns the conversation into a booking and a record rather than a message in a queue.

The problem they came with

  • Inquiries arriving out of hoursA global audience does not share your working day. Messages sent overnight waited until morning, by which point the sender had often found somebody else.
  • A language barrier at the front doorStaffing a genuinely multilingual desk is expensive. The alternative, answering in English and hoping, loses people at the first message.
  • Inquiries that went nowhereEven the ones that were answered often did not become anything, because there was no reliable step between the first reply and the sales team.

What we built

  • It replies in the inquirer's languageThe conversation happens in the language the customer started in, rather than being pulled into one the business happens to speak.
  • It books, rather than promising toWhere an appointment is the right next step, it is made during that first conversation instead of after three messages back and forth.
  • Every inquiry is recordedEach conversation is written down in full, so nothing depends on somebody remembering to pass it on.

The results

  • Inquiries get a reply at the moment they are sent, including overnight and at weekends.
  • The first reply is in the customer's own language, so the conversation does not stall at hello.
  • Appointments are booked inside that first conversation rather than after a chain of messages.
  • Nothing is lost between the first message and the sales team. Every inquiry is on record.

In short

The front desk stopped being limited by office hours and by which languages happened to be on staff that week.

aniverx.com

Case study / Retail and pricing

Competitor price and market tracking

Aniverx
IndustryRetail and pricing
ServiceData automation
Client

Project overview

A retailer was making pricing decisions without current information, because collecting it by hand across dozens of competitors is the first task to be dropped in a busy week. Aniverx built a pipeline that does the collecting before the team arrives.

The problem they came with

  • Decisions made on memoryThe market moved daily and the information the team had did not. Pricing was being set from impression rather than evidence.
  • Manual checking does not survive a busy weekGathering prices across dozens of sources by hand is the first thing to go when something urgent lands, and it went often.
  • Data in no usable shapeWhat did get collected arrived differently from every source, so comparing it meant more manual work before anybody could decide anything.

What we built

  • Collection runs before the day startsPrices are gathered early each morning, without anybody having to remember to start it.
  • Everything is made comparableEach source is normalized into one consistent format, so like is compared with like instead of being reconciled by hand.
  • It lands where the team already looksThe output appears in the dashboard the team opens anyway, and the history is kept rather than overwritten.

The results

  • The team starts each day with the previous day's competitor prices already collected and comparable.
  • Pricing is decided against current evidence instead of last month's impression.
  • Nobody spends their morning collecting prices and reformatting spreadsheets.
  • Price movement can be looked at over time, because the history is kept rather than replaced each day.

In short

The legwork became automatic. The decision stayed where it belongs, with the people who understand the business.

aniverx.com

Case study / Media and creators

Content research and ideation engine

Aniverx
IndustryMedia and creators
ServiceAI research workflow
Client

Project overview

A content team was planning from instinct, because the research that would have told them what to make was a full-time job on its own. Aniverx built an engine that does the reading and hands back ideas, not raw data.

The problem they came with

  • The research was the bottleneckKnowing what to make next requires more market reading than a content team can fit around actually making things.
  • Numbers alone do not explain performanceA list of view counts does not tell you why something worked. What a successful piece looked like and what it promised matter as much as how many people watched it.
  • Audience feedback going unreadThe comments carried what the audience actually wanted, in volumes far beyond what anybody was going to read.

What we built

  • It reads the market on a scheduleBoth a daily pass and a wider weekly one, so the team sees fast-moving signals and the broader picture without chasing either.
  • It analyzes what performed and whyOutliers are identified and examined: not only which pieces did well, but what they looked like and what they promised.
  • It reads the audience, then suggestsComments are analyzed at a scale no person would attempt, and the output is a set of ideas with reasoning rather than a report to interpret.

The results

  • Planning starts from current market evidence instead of instinct.
  • Competitor performance is reviewed at a scale no person was going to match, daily.
  • Audience comments are actually read and summarized rather than skimmed occasionally.
  • Research stopped competing with production for the same hours.

In short

The team kept the creative decision and handed over the part that was really daily research.

aniverx.com

Case study / Media and creators

Video clipping and distribution pipeline

Aniverx
IndustryMedia and creators
ServiceContent automation
Client

Project overview

A media operation was making long-form content well and getting very little short-form out of it, because every step between the two needed a person. Aniverx built the chain as one flow, from new video to ready-to-publish.

The problem they came with

  • A person at every linkCut, caption, write, schedule, send. Each step waited on somebody, so the whole chain moved at the speed of the busiest week.
  • Short-form left on the tableThe long-form content was already made and paid for. The clips that would have carried it further often simply never got cut.
  • Output that varied with whoever did itWhat did get published depended on who had the time and how much of it they had.

What we built

  • It starts itselfNew content is picked up as it appears rather than waiting to be remembered.
  • Clips and copy arrive togetherEach video is cut into short-form and the marketing copy is drafted in the same run, so nothing waits on the next person.
  • It stops where judgment startsThe team receives clips and copy ready to review. Publishing stays a decision rather than becoming an afternoon.

The results

  • Every new long-form video produces clips, not only the ones somebody had time to cut.
  • The marketing copy arrives written and ready to review.
  • Publishing short-form stopped depending on one person's week.
  • What goes out is consistent, because it no longer varies with who made it.

In short

The content was always there. What changed is that getting it out no longer competes with making it.

aniverx.com

Case study / Trading community

Market analysis and alerts bot

Aniverx
IndustryTrading community
ServiceWorkflow automation
Client

Project overview

A trading community's analysis depended on pulling together several sources by hand, which took long enough that the opportunity had usually passed. Aniverx automated the gathering and the delivery, while the thinking stayed with the client.

The problem they came with

  • Data spread across sourcesNothing useful could be said until several sources had been checked and lined up against each other.
  • Manual gathering is too slowBy the time one person had collected and compared everything, the window the analysis described had often closed.
  • Delivery mattered as much as analysisFinished analysis is worth nothing if it does not reach the community in the place they are actually watching.

What we built

  • It gathers everything in one passAll the sources are pulled together in a single run instead of being checked one at a time.
  • It applies the client's own rulesTheir logic is implemented exactly and applied identically on every run. The rules are theirs; only the execution is automatic.
  • It posts where the community isThe result goes straight into the channel they already read, with no copy-and-paste step in between.

The results

  • The analysis reaches the community while it is still relevant.
  • The same rules are applied to every single run, rather than as time allows.
  • It arrives in the place the community was already watching, without anyone forwarding it.
  • The client's analysts stopped spending their mornings gathering data instead of reading it.

In short

Aniverx built the gathering and the delivery. The analysis itself stays the client's own. The system runs their thinking, consistently and on time.

aniverx.com