How We Helped IQland Build AI SaaS MVP in 3 Months, Securing Investor Interest and Accelerating Market Engagement
At Kueenz Technologies, we were tasked with building a Minimum Viable Product (MVP) for IQland, an AI SaaS platform focused on serving real estate developers. The project involved developing the backend infrastructure and creating a Generative AI-based chatbot. In just three months, we successfully delivered a robust solution that not only met the client's immediate needs but also positioned them for future growth.
IQland sought to create an AI-powered SaaS platform that would help real estate developers get information about parcels. They needed a reliable backend, along with a sophisticated chatbot capable of interacting with users through knowledge base, maps, and forms. The goal was to create a functional MVP that could be showcased to investors, network participants, and potential customers.
The primary challenge was to develop a fully functional backend and an AI-driven chatbot within a three-month timeframe. This required a well-structured codebase, efficient database management and seamless integration of various services. Additionally, the solution needed to be scalable, secure, and capable of handling future expansion.
1. Backend Development and Performance Optimization
We revamped the backend code structure, enhancing performance and scalability. The architecture was designed to support future growth, ensuring that the system could handle increased traffic and data without compromising speed or reliability.
2. Database and Hosting Architecture
A robust database and hosting architecture were implemented using PostgreSQL and AWS EC2. This setup provided a reliable and scalable environment for data storage and processing, ensuring smooth operation even under heavy loads.
3. Automated Image Upload Pipeline
We automated the pipeline for uploading image files to labeling software, streamlining the process and reducing manual effort. This automation ensured that large volumes of data could be processed quickly and efficiently to prepare the data for training of vision models.
4. API Development for Custom Models and LLMs
APIs were developed to support custom models and large language models (LLMs), including Llama 3.1 and OpenAI GPT-3.5. These APIs enabled seamless integration with the chatbot, allowing it to provide accurate and contextually relevant responses.
5. Chatbot Features Implementation
The chatbot was designed with advanced features, including database integration, map functionality, and form handling. This allowed users to interact with data and receive personalized responses, making the platform more interactive and user-friendly.
We integrated authentication, payments, and dashboard functionalities into the platform, providing a complete, user-friendly experience. These features ensured that the platform was secure, easy to use, and ready for market deployment.
- Python
- Django
- Stripe
- PostgreSQL
- AWS EC2
- AWS S3
- AWS Lambda
- Docker
- Llama 3.1, OpenAI GPT-3.5, Embedding models
- Langchain
1. Secured Investor Interest
The MVP helped IQland secure meetings with over five potential investors, showcasing the platform's capabilities and market potential.
The platform was presented to over 100 participants at networking events, generating significant interest and potential partnerships.
IQland was able to present the MVP to potential customers, laying the groundwork for future sales and business opportunities.
We collaborated closely with the client to understand their needs and define the project scope, identifying key features and requirements.
The design involved creating a robust and scalable architecture. We meticulously structured the codebase to enhance performance and reliability, incorporating best practices for database management and API development. The system was designed to handle high traffic volumes and support future growth, ensuring that the platform remained efficient and adaptable as the client's needs evolved.
The development process was agile, with continuous feedback loops and iterations. We completed the MVP within three months.
Rigorous testing was conducted to ensure that all features worked seamlessly across different devices and scenarios. Performance, security, and usability were thoroughly vetted.
The MVP was successfully delivered to the IQland team.
"Kueenz Technologies delivered exceptional results on our project, showcasing their expertise in full-stack development. Their team possesses extensive knowledge across various layers of software development and consistently goes the extra mile to ensure project success. Their communication skills are excellent, making complex concepts easy to understand for both technical and non-technical stakeholders. Additionally, their developers have demonstrated great potential in leading and managing technical teams, with a natural ability to inspire and guide others. I highly recommend Kueenz Technologies for any project requiring top-tier programming skills, dedication, and leadership." - Adel Remadi, COO of IQland
Our work on IQland’s AI SaaS platform resulted in a successful MVP that exceeded the client’s expectations. By delivering a well-structured, high-performance solution, we enabled IQland to secure investor interest, impress at networking events, and engage potential customers. This project highlights our ability to deliver complex, innovative solutions quickly and effectively, driving success for our clients in competitive markets.