Scalable SaaS Solutions

Build Flexible, Scalable SaaS Products That Grow with You

SaaS is changing how businesses deliver software and services. At MetaViz AI, we build scalable, cloud-based SaaS platforms designed for real-world growth. Our products adapt to your users, scale on demand, and work across devices. Whether you’re launching a new tool or improving an existing one, we help you build SaaS that’s fast, stable, and ready to grow.

What We Offer with Scalable SaaS Solutions

Explore smart SaaS services that scale, perform, and delight your users.

Custom SaaS Development

We build SaaS products tailored to your market and audience.

Multi-Tenant Architecture

Host multiple customers with one secure, optimized codebase.

Subscription & Billing Integration

Add secure, flexible payment flows and account management tools.

Scalable Infrastructure

We use cloud platforms like AWS and Google Cloud to scale fast and reliably.

User Roles & Permissions

Create access control systems that suit every user level.

RAG Chatbots

Develop retrieval-augmented generation (RAG) chatbots for smarter interactions

Why Choose Us

Why MetaViz is Your Trusted SaaS Partner

MetaViz AI delivers modern SaaS platforms with built-in flexibility and speed. With GenuityWay, we focus on smart engineering and seamless user experience. Our SaaS solutions are built to perform and built to last.

Proven SaaS Expertise

We’ve launched SaaS apps across industries B2B, B2C, and enterprise.

Tailored to Your Business

Every feature, flow, and screen is built with your goals in mind.

Long-Term Support

We provide post-launch updates, scaling, and product improvements.

How We Work

How MetaViz AI Builds Scalable SaaS Platforms

Understand Your Goals

We talk with your team to learn what the product needs to do. Your vision shapes every decision. Step 1

Plan the Right Strategy

We map the features, user roles, and scaling needs. This ensures the product fits your workflow and business model. Step 2

Build and Integrate

We develop the backend, frontend, and cloud infrastructure. Every module is tested for speed, security, and reliability. Step 3

Test and Optimize

We test across devices and user types. Performance, usability, and security are top priorities. Step 4

Launch and Support

We launch your product with care and provide full support. As your user base grows, your SaaS grows with it.Step 5

Let’s Build the Future - Together

Are you ready to take your business to the next level with the power of AI, automation, and custom software development? We’re here to help you innovate and make a real difference.

Let’s discuss and explore how Metaviz can partner with you to bring your ideas to life, solve challenges, and explore the power of AI. We’re excited to be part of your journey and can’t wait to see what we can achieve together. Get in touch today, and let’s make it happen!

Powering Industries with Metaviz AI’s ML Expertise

Metaviz AI delivers custom AI and LLM solutions that streamline operations, boost efficiency, and enhance experiences across industries like healthcare, finance, and retail.

Business Technology

Our SaaS Projects in Action

See how MetaViz builds powerful SaaS platforms that scale with demand. From startup tools to enterprise-grade systems, our solutions deliver real business value. Every platform is built for speed, security, and long-term growth.

AI Powered Mobile Apps

Empowering Trade Businesses with AI-Driven Toolbox

AI Powered Web Apps

MeddAI: Medical Content Creator

AI Powered Mobile Apps

GoAI Chat Web Application Case Study

Connect with us anytime you need help!

General inquiry

info@metavizai.com

Office Location

Ali Town Lahore, Pakistan

Contact Us

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Empowering Trade Businesses with AI-Driven Toolbox

Challenge & Solution

Why were UK trade businesses losing leads and missing growth opportunities?
Manual processes made it difficult to track and manage leads effectively. Metaviz AI resolved this with a smart Leads Module that automates and organizes lead management for faster conversions.
What made traditional marketing tools ineffective for small trade teams?
Limited resources led to poor campaign performance and scattered outreach. Metaviz AI introduced a Shop Module for streamlined branding, subscriptions, and content management to enhance engagement.
How were trade businesses struggling with scattered data and poor decision-making?
Despite collecting large volumes of data, actionable insights were missing. Metaviz AI solved this by integrating a powerful Analytics Module that transforms raw data into clear business intelligence.
Why was customer support failing to retain or attract new clients?
Outdated methods lacked engagement and responsiveness. Metaviz AI addressed this with an AI Chat Bot and a Support Module, offering real-time interaction, GHL and Trello integration, and proactive client communication.

What We Did

We collaborated with UK trade businesses to design and develop an all-in-one hybrid mobile app—The Toolbox—that integrates lead management, client communication, analytics, and automation. The goal was to eliminate fragmentation, boost efficiency, and empower growth through AI-driven features and seamless workflows.

Identified Key Operational Gaps

We conducted discovery sessions with trade businesses to uncover pain points like missed leads, scattered customer data, and disconnected marketing efforts.Step 1

Designed a Unified Ecosystem

We architected a centralized system integrating Shop, Leads, Support, AI Bot, Customer Management, and Analytics modules—reducing tool clutter and creating a seamless user journey.Step 2

Built a Hybrid Mobile Application

Using cross-platform technologies, we developed a sleek, responsive hybrid app to ensure accessibility across devices, whether in the field or at a desk.Step 3

Integrated Smart Tools (GHL, Trello, AI Bot)

We embedded industry-favorite tools like GoHighLevel and Trello for support workflows, and an AI chatbot for smart lead capture and client interactions.Step 4

Delivered Real-Time Insights & Automation

The app now offers business owners real-time analytics, centralized customer data, and automated actions—freeing up time and improving decision-making.Step 5
Trello Screen

Technological Implementation

The technical integration of React Native, AI-bot, GHL, and Trello not only supported robust cross-platform mobile performance but also enhanced the app’s efficiency and reliability.

It allows businesses to leverage the latest technology without constant reinvestment. This advance MVP app (Toolbox) offers seamless cross-platform functionality, crucial for:

  • User Experience: Maintaining consistent functionality across all devices. This uniformity enhances the user journey, reducing friction and boosting satisfaction.
  • Data Synchronization: Integrating Go HighLevel to automate and synchronize data across business operations. This integration enables real-time updates and information accuracy across all business channels.
  • Scalability: Ensuring the system is adaptable to changing business needs. This flexibility allows the app to evolve alongside growing business requirements without sacrificing performance.

Proven Impact & Growth

Since deploying the AI-powered MVP app, trade businesses have seen a 30% increase in lead conversions and a 60% reduction in reporting times. Marketing ROI has improved through more targeted and cost-effective campaigns. Additionally, 70% of customer inquiries are now resolved instantly by AI, significantly enhancing customer support and satisfaction.

1

Lead Boost

30% higher conversions with enhanced lead scoring and follow-ups.

2

Faster Reports

Reporting time reduced by 60%, speeding up decision-making.

3

Marketing ROI

Increased efficiency, yielding more targeted, cost-effective ads.

4

Quick Support

70% of inquiries instantly resolved by AI, improving customer services.

Metaviz AI offers innovative AI solutions to boost business intelligence, streamline operations, and drive automation for a smarter, efficient future.

Contact

Phone:

Email:

Address:

Ali Town Lahore, Pakistan

© Metaviz AI is Proudly Owned by Metaviz.

MeddAI: Medical Content Creator

Project Overview

MeddAI is an AI-powered web application built to generate trustworthy, citation-ready medical content for healthcare professionals, students, and the public. It uses a FastAPI backend with Python, orchestrates multiple AI agents using LangGraph, and integrates Google Gemini and OpenAI GPT-4o for content generation and validation. Perplexity AI is used for research when no external references are provided.

The platform accepts inputs like URLs, DOCX/PDF files, and YouTube videos. It performs real-time source extraction, automated medical accuracy checks, and delivers AMA-style formatted articles. A REST API interface allows seamless content requests by both technical and non-technical users.

Challenge & Solution

Validating Medical Accuracy

Problem: Risk of generating inaccurate or non-compliant content.
Solution: Implemented GPT-4o for post-generation validation, checking factual accuracy, AMA citation format, and readability. Invalid drafts are automatically flagged and returned with issue logs.

Ingesting Multiple Content Types

Problem: Required support for diverse sources like PDFs, DOCX, and videos.
Solution: Integrated Firecrawl (web), PyPDF2/python-docx (documents), and RapidAPI (YouTube) for seamless ingestion and parsing.

Dynamic Audience Adaptation

Problem: One-size-fits-all tone fails across user groups.
Solution: Language generation dynamically adjusts tone and jargon to fit doctors, students, patients, or general public based on the request context.

Creating Citation-Enforced Content

Problem: Generated content lacked scholarly reference formatting.
Solution: Google Gemini is instructed with strict prompting to embed in-text citations and meet academic formatting standards.

Tech Stack Implementation

Frontend

Any Client (React.js, Postman, etc.): Sends requests and renders article output.

Step 1

Backend

FastAPI: Handles endpoints for article generation, extraction, and health checks.
LangGraph: Orchestrates the multi-step workflow (input → research → generation → validation).

Step 2

AI Models

Google Gemini: Generates draft content.
OpenAI GPT-4o: Validates content for factual accuracy and formatting compliance.

Step 3

External APIs

Perplexity: Literature search fallback
Firecrawl: Web scraping
RapidAPI: YouTube transcription

Step 4

AI Recommendation Engine

Automatically assigns the appropriate workflow depending on input type (URL, PDF, DOCX, video).
Google Gemini handles generation with word count accuracy (±10%).
GPT-4o performs error detection and citation validation.
Perplexity is triggered when no external source is available.

Step 4

Security

Asynchronous validation and rate-limiting for abuse protection.
API keys and endpoints are protected with secure access layers.
User data is handled with HIPAA-conscious security best practices.

Step 4

Results & Value

1

Evidence-Based Articles: Drafts are verified and citation-compliant using AMA formatting.

2

Source-Aware Ingestion: Pulls from multiple file types and sources automatically.

3

Flexible for All Users: Adapts tone and technical depth for all audiences.

4

API Integration: Ready for integration into EMR systems, LMS platforms, or third-party content hubs.

Metaviz AI offers innovative AI solutions to boost business intelligence, streamline operations, and drive automation for a smarter, efficient future.

Contact

Phone:

Email:

Address:

Ali Town Lahore, Pakistan

© Metaviz AI is Proudly Owned by Metaviz.

GoAI Chat Web Application Case Study

Project Scope

GoAI is an AI-powered chat application designed to deliver dynamic, personalized conversational experiences. It intelligently matches user queries with the most suitable language model (LLM) and agent combination in real time. The app integrates an LLM recommendation engine, model-agent orchestration, and memory-based conversations—all within a modern UI built using React.js.
By leveraging technologies like LangChain, OpenAI, Gemini, and FastAPI, GoAI ensures users receive context-aware responses with accurate information, whether for education, business, or support. It features secure JWT authentication, dynamic chat memory, and role-based data access.

Challenge & Solution

Matching Queries to the Best LLM

Problem: Users needed accurate results, but no single LLM worked best for all queries.
Solution: GoAI uses a dynamic model-agent recommendation system that selects the optimal LLM and agent combo based on query content and confidence scoring.

Secure User Management

Problem: The app needed secure access control and user data management.
Solution: Implemented JWT-based authentication, email/password login, and OTP verification, with separate flows for new user registration and login.

Maintaining Conversation Context

Problem: Conversations were fragmented without memory.
Solution: Integrated LangGraph and MemorySaver to persist user history, enabling context-aware follow-ups and dynamic multi-turn responses.

Seamless UI for Multiple Devices

Problem: Users accessed the app on various screen sizes.
Solution: Created a responsive frontend with React.js and Tailwind CSS, including dark mode, toggle layouts, and chat UI enhancements.

Tech Stack Implementation

Frontend

React.js: Core UI framework
Tailwind CSS: Utility-first styling
React Router & Axios: Navigation and API requests
JWT Auth + React Hook Form: Form validation and access control

Step 1

Backend

FastAPI + Node.js/Express: API logic and model integration
MongoDB: Stores user data, conversations, and access logs
LangChain + LangGraph: Dynamic chatbot agent orchestration
OpenAI, Gemini APIs: LLM outputs and reasoning

Step 2

AI Recommendation Engine

Classifies user queries and assigns LLM + Agent
Ranks outputs using a confidence-based scoring system
Supports tools like search, API calls, and reasoning agents

Step 3

Security

Password hashing & secure token storage
OTP email verification with nodemailer
CORS setup for frontend/backend sync
Role-based access using JWT tokens

Step 4

Results & Value

1

Dynamic AI Pairing

Auto-selects the best LLM + agent per use case
2

Custom Chat Experience

Maintains memory and provides smart follow-ups
3

Scalable Design

Easily integrates new models, tools, or agent workflows
4

Clean UI

Accessible across all devices, including dark mode and responsive scaling