Our Work
Every project we've shipped — websites, AI agents and automations, products, and custom software — with the real metrics behind each one.
Adtown
How did AiVirex outrank an established competitor and get Adtown to #1 on Google in three days?
AiVirex built Adtown in house, an outdoor advertising marketplace that connects advertisers with billboard and OOH space owners, on Next.js and Firebase. The launch domain, adtown.space, went up against adtown.com, a site that already held the top spot. After a full SEO and GEO build and a Google Business Profile listing, adtown.space ranked above adtown.com within three days. Search Adtown on Google today and the AiVirex build is the first result. It also picked up 189 plus citations across AI search engines like ChatGPT in its first 30 days, surfacing on queries like billboard pricing and how to advertise in a specific city. Adtown runs in both India and the USA, with OCR and content safety checks built into the listing flow.
AiVirex built Adtown from scratch on Next.js and Firebase, outranked an established .com competitor to hit #1 on Google in three days, and earned 189 plus AI search citations in the first 30 days.
Adtown is a marketplace platform built completely in house, from zero to one, just like Attendify. We led the market research, talked directly to customers, and designed the dashboard before writing a line of code. Built with Next.js and Firebase, it shipped with a 100% SEO score and strong GEO visibility, ranked number one on Google within three days of launch, and picked up 189+ citations across AI search engines like ChatGPT in its first 30 days. Adtown now has a presence in both India and the USA.
Can a brand new website outrank an established competitor on the same keyword?
Yes. AiVirex built adtown.space and ranked it above the older adtown.com within three days of launch through a combined SEO, GEO, and Google Business Profile push.
What is Adtown?
Adtown is an outdoor advertising marketplace built by AiVirex that connects advertisers with billboard and OOH space owners across India and the USA, with OCR and content safety built in.
DispatchIQ
How does AiVirex's DispatchIQ connect homeowners, property managers, and technicians in one workforce OS?
DispatchIQ is a workforce operating system AiVirex helped take from zero to one for a US client, with a strong base in Michigan. It connects homeowners, property managers, and field technicians in a single platform. Technicians train through AI, get certified, then take jobs posted by homeowners for repairs like HVAC, plumbing, and electrical. A merit matrix ranks each technician by customer feedback and job quality, so the right specialist gets matched to the right job instead of generalists repeating work they are not suited for. A hazard scan sits at the top of the funnel. A homeowner photographs an issue, and an AI trained on building codes and common faults tells them whether it needs fixing, how to fix it, or routes them to book a vetted technician. The client arrived with their own dev team, so AiVirex ran project management end to end, planning features, breaking the roadmap into sprints, designing the data structure, and shaping the UI and backend across three connected products.
AiVirex took DispatchIQ from zero to one as project lead, shipping a workforce OS with an AI hazard scanner and a merit based technician matching matrix across three connected products.
DispatchIQ is an operations OS for property managers, technicians, and homeowners across the USA, with a strong base in Michigan. The client came in with a sharp idea and an existing dev team, but needed a product manager to take the build from zero to one: planning the roadmap, running standups, enforcing security checks, and shipping three connected products inside one platform. We trained and integrated AI models and LLMs across the system, including AI that scans for property hazards, wired through a stack of APIs. DispatchIQ is live today with strong SEO and near instant load times.
How does DispatchIQ match the right technician to a job?
A merit matrix ranks technicians by customer feedback and completed job quality, so a homeowner gets a proven specialist instead of a generalist, and good technicians build a score that earns them more work.
What does the DispatchIQ hazard scan do?
A homeowner photographs a problem and an AI trained on building codes assesses it, then either explains the fix or routes the job to a vetted technician in the marketplace.
Attendify
How did AiVirex build a privacy first membership app with a patent pending backend for as low as 250 rupees a month?
Attendify is a privacy first membership management app AiVirex built in house for gyms, sports academies, and tuition centers, handling QR attendance, fee reminders, and income tracking in one dashboard. The backend uses a patent pending architecture that keeps all member and student data on the owner's own device, backed up to their private cloud, so AiVirex never has access to it. That same design is what makes it affordable, priced as low as 250 rupees per month. It is a fully native Android app, crash free 99.07%, with 1000 plus downloads and sub second load times.
AiVirex built Attendify, a privacy first membership app with a patent pending on device backend, delivering attendance, billing, and income tracking for as low as 250 rupees a month.
Attendify is a privacy first membership management app for gyms, sports academies, and tuition centers, handling QR attendance, fee reminders, and income tracking in one dashboard. Built for speed, it loads in under a second and stays reliable at scale.
How does Attendify protect member and student data?
Its patent pending backend keeps all data on the owner's own device and backs it up to their private cloud, so even AiVirex has no access to it.
How affordable is Attendify?
Pricing starts as low as 250 rupees per month, made possible by the on device architecture.
Author Portfolio
How did AiVirex help a published author sell more books online?
AiVirex built an author portfolio site for a writer with two published books and no online presence. The site showcases the books and routes readers straight to Amazon and Flipkart to buy. It also gives the author a proper landing page for ad traffic, so paid clicks reach a branded site that builds trust first instead of dropping cold onto a marketplace listing. It hit a perfect 100 Lighthouse SEO score and lifted book sales by 25%.
AiVirex turned an author with zero online presence into a 100 SEO scored storefront that lifted book sales 25% by routing readers straight to Amazon and Flipkart.
A portfolio website built with Next.js and Tailwind to showcase a published author’s books and route readers straight to Amazon and Flipkart. It hit a perfect Lighthouse SEO score and lifted book sales through strong, trust building testimonials.
Why send book ad traffic to a portfolio site instead of straight to Amazon?
A branded site builds trust and context before the buy, which converts paid traffic better than dropping a reader cold onto a marketplace listing, and it still links straight through to Amazon and Flipkart.
Avittam Homes Website
How did AiVirex revamp a real estate developer's website without rebuilding their stack?
AiVirex ran a full redesign of Avittam Homes, a real estate developer that already had a live site. Working closely with the founder's vision for layout and placement, AiVirex modernized the look and feel and tuned performance and SEO without rebuilding the underlying stack. The result loads in around 1.3 seconds, holds 99.9% uptime, scores 95% plus on SEO, and lifted leads by 20%.
AiVirex modernized Avittam Homes' real estate site in place, lifting leads 20% and SEO to 95% plus without rebuilding the existing stack.
A full redesign of a real estate developer’s website, modernizing the interface and tuning performance and SEO without touching the existing stack. The result is a faster, more premium browsing experience that turns more visitors into leads.
Can a site be modernized without a full rebuild?
Yes. AiVirex redesigned Avittam Homes on its existing stack, improving look, speed, and SEO while lifting leads 20%.
KMJ & Co.
How did AiVirex build a compliant CA firm website that ranks locally and gets indexed by AI?
AiVirex built the online presence for KMJ & Co., a chartered accountancy firm, from nothing. CA websites sit under strict advertising and conduct rules, so AiVirex researched the regulations and built within them. The goal was local ranking, and the site delivered, getting indexed and surfacing on AI search within roughly 25 to 30 days of launch. Incoming enquiries flow through a lead management system that captures and organizes them in the backend automatically. The site hit perfect Lighthouse scores for SEO and best practices with zero ongoing software cost.
AiVirex built a fully compliant chartered accountancy website that ranked locally and got indexed by AI search within a month, with automated lead capture and zero ongoing software cost.
A professional online presence for a chartered accountancy firm, built to rank locally and capture enquiries automatically through WhatsApp and Google Sheets. The site hit perfect Lighthouse scores for SEO and best practices, with zero ongoing software cost.
Can a chartered accountant have a website given advertising restrictions?
Yes. AiVirex researched the conduct and advertising rules CA firms must follow and built KMJ & Co. a fully compliant site focused on local ranking and enquiry capture.
MedicalData Project
How did AiVirex build a predictive medical analytics system that minimizes false negatives?
AiVirex delivered a confidential healthcare AI project built around predictive analytics on sensitive medical datasets. The work started with heavy exploratory data analysis, cleaning, and preprocessing on real world data, then a model built to support the client's day to day operations. Because the data is medical, false negatives carried the highest cost, so tuning focused there, holding both false positive and false negative rates under 5% at 90% accuracy. The system pairs traditional machine learning with LLM powered insight and runs on a secure local server to meet strict privacy standards.
AiVirex built a confidential medical predictive analytics system at 90% accuracy, holding false positives and false negatives under 5% on a privacy secured local server.
A confidential healthcare AI initiative involving the development of machine learning models and LLM powered insights for predictive analytics on sensitive medical datasets. Extensive data cleaning and preprocessing ensured model reliability, with a strong focus on minimizing false positives and false negatives. Hosted securely on a local server to comply with strict data privacy standards.
Why do false negatives matter most in medical AI?
A missed positive can mean a missed diagnosis, so AiVirex tuned the model to hold false negatives under 5% while keeping accuracy at 90%.
Hazlo Project
How did AiVirex ship a cross platform sports MVP in three months?
AiVirex built Hazlo, a confidential cross platform mobile MVP for a sports industry client, on React Native and Firebase so it could ship to both Android and iOS at once. The brief was a working product to validate market fit inside three months. Scope shifted through the build, so AiVirex managed the project tightly across iterations and delivered on time, with sub second load and 98.7% crash free sessions.
AiVirex shipped Hazlo, a cross platform sports MVP on React Native, to both iOS and Android in three months through shifting scope, hitting 98.7% crash free sessions.
A confidential cross platform mobile application developed using React Native and Firebase, built as an MVP to validate market fit for a sports industry solution. Optimized for production deployment on both Android and iOS, the app delivers a smooth user experience, intuitive navigation, and reliable backend performance to support initial user testing and feedback cycles.
How fast can AiVirex deliver a cross platform MVP?
Hazlo went from brief to a validated iOS and Android MVP in three months, with AiVirex managing changing scope across iterations.
FlintM
How did AiVirex build a marketing agency site that loads in half a second and builds instant trust?
AiVirex built the official site for FlintM, a marketing agency that came in with no online presence and a need to prove results. The design is research led and built around trust, with a video driven hero and clear case studies showing client ROAS. Performance is the standout. First contentful paint and largest contentful paint both land at 0.5 seconds, total blocking time at 20ms, cumulative layout shift at zero, and speed index at 0.9 seconds. SEO sits at 92%, performance at 94%, best practices at 100%, uptime at 99.9%.
AiVirex built FlintM's agency site to load in half a second with zero layout shift, pairing a video led hero with case studies that turn visitors into trust.
Developed the official website for FlintM, a marketing agency, with a strong emphasis on brand storytelling and visual impact. Delivered a custom video led hero creative designed to instantly engage visitors, alongside a sleek, high performance interface. With Lighthouse scores above 90% in SEO and performance and 100% in best practices, the site effectively showcases client results, ROAS, and case studies, building trust and credibility.
How fast does the FlintM site load?
Both first and largest contentful paint hit 0.5 seconds with zero cumulative layout shift, putting its core web vitals in the top tier.
The MUN Company
How did AiVirex revamp a Model UN company's site on WordPress?
AiVirex revamped the official site for The MUN Company, working on WordPress where the client already had a foundation. The job involved custom themes, structural edits, and a long list of changes the client wanted, lifting professionalism and appeal for schools and MUN participants. It scores 100% performance, 100% accessibility, 100% best practices, and 90% plus SEO.
AiVirex revamped The MUN Company's WordPress site to 100% performance, accessibility, and best practices with custom theming built to the client's brief.
Revamped the official website for a Model United Nations (MUN) company, enhancing its professionalism and appeal to schools and MUN enthusiasts. Built on WordPress, the redesign included high quality Canva designed visuals to strengthen brand identity and improve event promotion. Achieved 100% performance, 90%+ SEO, and top scores in best practices and accessibility.
Can a WordPress site hit perfect performance scores?
Yes. AiVirex took The MUN Company to 100% performance, accessibility, and best practices through custom theming and structural edits.
Myndz Badminton Academy
How did AiVirex get a badminton academy ranking #1 on Google in 25 days?
AiVirex built the site for Myndz Badminton Academy, a large academy with multiple courts and players competing at national and international level, all with no prior online presence. The site showcases star players, coaches, parent testimonials, and an integrated Instagram feed and media gallery. It ranked number one on Google within 25 days of launch, with 96% plus best practices, 91% plus SEO, and a 0.5 second first paint.
AiVirex took Myndz Badminton Academy from zero online presence to #1 on Google in 25 days, putting its national and international players in front of new families.
Developed a dynamic portfolio website for Myndz Badminton Academy, showcasing star players at national and international levels, coach profiles, parent testimonials, and the academy’s values. Integrated Instagram feed and media gallery to highlight activities and achievements, building trust and brand credibility.
How quickly can a new academy site rank on Google?
AiVirex got Myndz Badminton Academy to the number one spot on Google within 25 days of launch from a standing start.
Plant Species Classification
How did AiVirex build an AI that identifies India's medicinal plants at 95% accuracy?
AiVirex built an AI platform that detects and identifies indigenous Indian medicinal plants and returns their medicinal and culinary uses. It was a heavy R&D effort, large scale data gathering and preprocessing, then training across ResNet50, MobileNetV2, and VGG16 CNN architectures on 2,626 plant species spanning leaves, flowers, roots, stems, bark, and fruit. Stochastic weight averaging pushed accuracy to 95%, with custom model training and fine tuning throughout. GPT-3, enriched with web scraped data, powers instant Q&A about any identified plant.
AiVirex trained an ensemble of CNNs to 95% accuracy on 2,626 Indian medicinal plant species, with GPT-3 powering instant Q&A on each plant's uses.
Developed an AI driven platform to detect and recognize indigenous medicinal plants of India, providing details on their medicinal value and culinary usage. Trained on a dataset of 2,626 plant species (including leaves, flowers, roots, stems, bark, and fruits), the system utilized ResNet50, MobileNetV2, and VGG16 CNN models, achieving 95% accuracy through stochastic weight averaging. Integrated GPT-3 with enriched data from web scraping to enable instant Q&A about plants.
How accurate is AiVirex's plant identification model?
It reaches 95% accuracy across 2,626 species using an ensemble of ResNet50, MobileNetV2, and VGG16 with stochastic weight averaging.
Loan Approval System
How did AiVirex build a loan approval AI with a human in the loop and built in fairness?
AiVirex built a confidential fintech system that predicts loan approval likelihood from historical application data and credit signals. It returns a probability score and a decision, then routes every application to a human for final verification, so the AI speeds the work without removing accountability. That human in the loop design also guards against favoritism. Each decision carries a stated reason, and a feedback loop feeds corrections back to keep the model improving. It runs at 85% accuracy with low false positives and negatives, cutting processing time by 40%.
AiVirex built a loan approval AI at 85% accuracy that cut processing time 40%, with a human in the loop and a fairness feedback loop that self improves the model.
A confidential fintech AI solution built to predict loan approval likelihood using historical datasets of approved and rejected applications. The system employed a supervised learning model to deliver 85% accuracy, with low false positives and false negatives. Integrated directly into the loan processing workflow, it provides a probability score, the model’s decision, and then routes the application for final human verification, streamlining decisions and reducing processing time.
Does the loan approval AI make the final decision?
No. It produces a score and a recommended decision with a stated reason, then a human verifies every application, which also prevents favoritism.
StockMarket Automation
How did AiVirex automate a trading strategy to remove emotional decisions?
AiVirex built a confidential automated trading system that pairs rule based logic with machine learning to execute buy and sell decisions across market indicators, using SAX for time series representation. The point was to take the strategy the client trusted and run it on real world signals without the emotional swings that hurt manual trading, sticking to the logic every time. It cut manual effort by 80%, runs at 82% accuracy, and grew the client's revenue by 18%.
AiVirex automated a client's trading strategy with rule based logic and ML, cutting manual effort 80% and growing revenue 18% by removing emotion from the decisions.
A confidential trading system that pairs rule based logic with machine learning to automate buy and sell decisions across market indicators. It cut manual trading effort dramatically, sped up decisions, and grew revenue for the client.
How does automated trading remove emotion from decisions?
AiVirex encoded the client's trusted strategy into rule based logic and ML so trades execute on signals alone, cutting manual effort 80% and lifting revenue 18%.
TT Sports Academy
How did AiVirex take a multi sport academy from a broken site to #1 on Google?
TT Sports Academy, a multi sport facility offering badminton, yoga, boxing, swimming, and more, came to AiVirex with a poorly performing site built on outdated technology and a weak SEO score. AiVirex redesigned the whole thing, lifting SEO from around 55% to 100% and performance from 40% to 73%, with best practices at 100%. The rebuilt site now ranks number one on Google.
AiVirex rebuilt TT Sports Academy's outdated site, lifting SEO from 55% to 100% and taking it to #1 on Google.
Revamped the website for TT Sports Academy, a multi sport facility offering badminton, yoga, boxing, swimming, and more. Built with HTML, CSS, and JavaScript, the redesign focused on boosting SEO from ~55% to 100% and improving best practices to 100%, significantly enhancing brand visibility and online credibility. Performance scores improved from 40% to 73%, making the site faster, more discoverable, and more engaging for potential members.
Can an outdated site be turned into a top ranking one?
Yes. AiVirex rebuilt TT Sports Academy from outdated tech, lifting SEO from 55% to 100% and taking it to number one on Google.
Techiegen
How did AiVirex ship a meme driven learning PWA that hit 10,000 users with zero crashes?
AiVirex built Techiegen, a meme driven learning platform, as a Progressive Web App because the client had a tight budget and wanted to reach every platform from one build while testing market fit. It launched as a PWA and on the Play Store for fast go to market validation. It grew to over 10,000 users at peak with zero crashes, scoring 95% best practices, 94% accessibility, and a 0.8 second first paint.
AiVirex shipped Techiegen as a single PWA on a tight budget, scaling to 10,000 plus users with zero crashes across web and Play Store.
Built a meme driven learning platform as a Progressive Web App (PWA) for Techiegen, enabling students to learn academic concepts through humor and community interaction. Powered by Firebase on the backend, the platform was launched both as a PWA and on the Play Store, allowing rapid go to market testing for product validation and monetization potential. Optimized for high performance, accessibility, and SEO to maximize reach and engagement.
Why build a PWA instead of native apps?
A PWA let Techiegen reach web and Play Store from one budget friendly build, ideal for validating market fit, and it scaled to 10,000 plus users with zero crashes.
Temple Billing System
How did AiVirex replace a temple's outdated billing software with a fast custom system?
A temple was stuck on outdated billing software it could not customize, with no way to change pricing and no dashboards or reporting. AiVirex built a complete desktop billing and ticket management system from scratch on Tauri and Rust, with a purpose designed database and direct thermal printer integration. It loads in around 0.8 seconds, accounts for every transaction, lifted operational efficiency by 40%, and cut paper use by 40%.
AiVirex built a temple a custom Tauri billing system from scratch, with thermal printer integration and 0.8 second loads, lifting efficiency 40% and cutting paper use 40%.
A desktop billing and ticket management system for a temple, replacing paper records with stock tracking, revenue dashboards, and digital receipts. Built for speed, it loads almost instantly and keeps every transaction accounted for.
Why build custom billing instead of using off the shelf software?
The temple's old software could not customize pricing or produce dashboards and reports, so AiVirex built a fast custom system on Tauri with thermal printer integration and full transaction tracking.
Data Analysis Tool
How did AiVirex build a no code data analysis tool before the AI era?
AiVirex built a no code data analysis and predictive modeling platform for a firm whose users had strong statistics knowledge but no programming background. This predated the era of dropping a CSV into ChatGPT, so the tool did the heavy lifting itself, reading columns, detecting continuous versus discrete data, running preprocessing, then building models like linear and logistic regression through a simple interface. Think of it as a WEKA style workbench rebuilt for the web. It builds a base model in under 10 seconds and handles files up to 500MB.
AiVirex built a WEKA style no code analytics platform for the web, letting non programmers preprocess data and train regression models in under 10 seconds.
Built a no code data analysis and predictive modeling platform for users with strong statistical knowledge but no programming experience. The tool allows users to upload CSV datasets, generate interactive charts and graphs, and build basic machine learning models such as linear regression and logistic regression directly through an easy to use interface. Developed with React and Flask, the platform streamlines data exploration and modeling for rapid insights.
Who is the no code data analysis tool for?
Professionals with strong statistics knowledge but no coding background. They upload a CSV and the tool handles preprocessing and model building through a simple interface.
ColorCoding Tool
How did AiVirex replace expensive lab testing with a color based chemical analysis tool?
AiVirex built a computer vision tool for a chemical company that predicts methanol and ethanol percentages in a solution from a single image. It replaces slow, expensive lab procedures with an instant read from color, a real help for food processing and quality testing. Accuracy runs above 93% with results in two to three seconds, cutting analysis cost by around 40% against lab testing.
AiVirex built a computer vision tool that reads methanol and ethanol levels from a photo at 93% plus accuracy in seconds, cutting lab costs by 40%.
Developed a computer vision chemical analysis tool to predict methanol and ethanol percentages in solutions using image uploads. Designed for professionals in chemistry, food safety, and quality control, the tool replaced expensive lab equipment with an affordable, fast, and highly accurate alternative. Achieved 93%+ prediction accuracy with results generated in under 3 seconds, making it a practical solution for real world industrial applications.
How does the tool measure methanol and ethanol from an image?
A computer vision model reads the solution's color and predicts methanol and ethanol percentages at 93% plus accuracy in two to three seconds, replacing slower lab testing.
Frequently Asked Questions
What does AiVirex build?
AiVirex builds zero to one products, AI agents and automations, AI visible websites, and custom software. It has shipped 20 plus products across marketplaces, mobile apps, fintech, healthcare AI, and computer vision.
Can AiVirex rank a new website on Google quickly?
Yes. AiVirex ranked Adtown number one on Google within three days, Myndz Badminton number one within 25 days, and got KMJ & Co. indexed by AI search within a month.
Does AiVirex work with international clients?
Yes. AiVirex works with clients in India and the USA, including Adtown and DispatchIQ in the US market.
Does AiVirex build AI and machine learning systems?
Yes. AiVirex has built medical predictive analytics at 90% accuracy, a 95% accurate plant classification model, a fintech loan approval AI, automated trading systems, and computer vision tools for chemical analysis.
Does AiVirex optimize for AI search and ChatGPT visibility?
Yes. AiVirex builds for GEO alongside SEO. Adtown alone earned 189 plus AI search citations in 30 days, and AiVirex sites have been indexed by AI within weeks of launch.
What makes AiVirex different from a typical agency?
AiVirex pairs hands on building with program management level business judgment, shipping lean, high value solutions and optimizing for both SEO and AI search visibility, not just code.