AI driven Web business applications and SaaS
Laravel, Custom PHP/Python, OpenAI and API integrations.
At the heart of many businesses are the systems and applications that drive features and functions. Whether it’s a custom business application, a SaaS or a series of API integrations to sync services like HubSpot, this level represents the core engine of the business. While not every client needs a full custom platform, many require smart automation, scalable APIs, or backend logic that simplifies operations and enhances user experience. Our languages include PHP, Python, VueJs and ReactJS.
Case Studies:

Case Study: School Fundraising Dashboard
Client Overview
SupportFund is a nationwide fundraising platform built to empower schools, teams, and small organizations to meet critical financial needs through easy, accessible online campaigns. Across the U.S., countless small groups struggle to run effective fundraisers because they lack technical resources, time, or support. SupportFund bridges that gap by providing a simple, intuitive platform where anyone — with or without technical expertise — can quickly launch, manage, and promote a campaign.
Their mission is to remove barriers to fundraising success and give every school and team a fair shot at achieving their goals. When SupportFund approached us, they needed a digital experience that was as accessible and powerful as their vision: a clean, mobile-friendly, user-first site that could streamline donation collection, encourage campaign sharing, and support future growth without overwhelming users.
The Challenge
Deliver a highly accessible, mobile-friendly fundraising experience that supports multiple payment processors and ensures donation trust.
Our Solution
We maintain a full SaaS system using Laravel and Authorize.Net APIs to handle donations, campaign progress bars, recurring contributions, and user management. We also added fraud monitoring scripts and integrations with Meta Pixel and Google Analytics for marketing optimization.
Results
SupportFund has processed thousands of secure donations and helped hundreds of fundraisers launch their first campaign with no friction. The platform supports a growing user base and continues to help causes raise funds efficiently and transparently.
Why it matters
This project highlights how Basebuild helps transform socially driven ideas into scalable, easy-to-use digital platforms. Our ability to integrate secure payment systems and user-friendly design ensures that fundraisers focus on their mission, not tech obstacles.
URL: https://supportfund.com

Case Study: Smart Water System Pipeline
Client Overview
Client: Home-Water-Works.org
Industry: Environmental Conservation / Water Efficiency
Platform: Drupal, PHP, Java
Services Provided: Custom API Development, Application Logic, Data Reporting System
The Challenge
Home Water Works is a conservation-focused platform that helps households, HOAs, and golf courses estimate and reduce their water usage. The organization needed a smarter way to connect real-world water use data—gathered by in-ground monitoring devices—with their digital ecosystem. Their goal: automate monthly water usage reporting and give users meaningful, actionable insights.
Our Solution
We engineered a custom API integration and backend logic that connected field-level data from physical sensors to the Home Water Works Drupal and (Laravel partially) based platform. There were also some components of Java development involved. Here’s how we broke it down:
API Development and management
Home Water Works installs small hardware devices that measure real-time water use in soil and irrigation systems. These devices transmit data via satellite.
- We developed a custom API to receive and normalize this data
- Handled incoming payloads from a third party software and pushed them into the client’s database
- Designed with resilience and queueing logic to handle inconsistent data syncs
Application Logic and Report Generation
- Once the data landed in the system, we built the logic to analyze usage trends and trigger meaningful reports.
Custom Drupal module processed the incoming water usage metrics - Thresholds and benchmarks were set per region, property type, and season
- Monthly reports were auto-generated and emailed to users, including:
- Total usage
- Percent change from previous months
- Suggested water-saving actions based on behavior
Seamless user experience
All backend functionality was wrapped into a clean Drupal-based experience:
- Users could log in to view usage dashboards
- Embedded water calculators and regional conservation tips
- Admin panel allowed staff to monitor device activity and manually resend reports if needed
Results
- 100% reduction in manual report generation tasks for staff
- Reports delivered per month, fully automated
- Real-time data from the field to email/dashboard
- Enhanced user trust and retention through consistent, personalized insights
Why it matters
This integration brought the conservation mission of Home Water Works into the digital age—turning raw environmental data into a practical tool that’s easy for homeowners, city planners, and golf course managers to use. It’s a model for IoT-to-Drupal integration that makes real-world impact.

Case Study: Insurance Policy Dashboard
Client Overview
TrustCo Inc. provides secure, modern financial tools designed specifically for the insurance industry. Their platform offers policyholders and insurance clients access to seamless online account management and financial transaction services — all under the trusted brand of their insurance providers.
By deeply integrating with leading financial APIs and maintaining full regulatory compliance, this client empowers insurance companies to offer banking-level services without building from scratch. Focused on security, ease of use, and scalability, the company bridges the gap between traditional insurance and the demands of today’s digital-first customers.
The Challenge
Creating a seamless and secure experience that could scale while ensuring financial data compliance and encryption across different user roles and access levels.
Our Solution
To modernize this company’s internal operations, we designed and maintained a custom Laravel platform that served as a centralized hub for managing service workflows and policy data. One of the core features was a robust policy dashboard that allowed administrators to view, create, and manage service policies linked to individual clients and locations. This dashboard gave staff granular control over policy rules, technician assignments, and service conditions, all in one streamlined interface.
We also integrated job scheduling, technician dispatching, and automated notifications to create a cohesive experience across departments. Our development approach ensured scalability, data security, and ongoing alignment with the company’s operational goals. The frontend of this Laravel app is built using Vue 2, with Vuex for state management and Vue Router for client-side navigation.
Results
The Laravel-based system brought immediate clarity and efficiency to daily operations. The policy dashboard became a vital tool, giving staff real-time insights into coverage conditions, policy details, and service eligibility. The improved system reduced errors, increased transparency, and allowed the company to serve more clients without growing overhead. With Basebuild’s ongoing support, the platform continues to evolve alongside the company’s needs, helping the company scale while staying in control of complex service and policy workflows.
Why it matters
This case study illustrates Basebuild’s ability to handle complex financial systems and compliance challenges while delivering a scalable, intuitive SaaS experience for end users. Our secure, API-integrated architecture made this company more agile, robust, and trustworthy.

Case Study: Cornell AI Nutrition Dashboard
Client Overview
We conceptualized and prototyped an AI-powered dashboard and chatbot interface to manage and present nutritional survey data from 11 countries in various languages and formats. These reports come primarily as PDFs, each with different tabular layouts and units.
The Challenge
Currently, researchers manually extract data, convert it into SI units, and attempt to compare it across reports. This is inefficient, error-prone, and difficult to scale, especially when data is in multiple languages and non-standard formats.
Our Solution
- Use OpenAI to extract tabular data from multilingual PDFs
- Normalize the data into a unified schema with SI units
- Create a researcher-facing dashboard to explore and visualize standardized nutrition data
- Build an AI chatbot interface that enables researchers to ask questions in natural language about the data
Results
- Custom reports delivered, fully automated
- 100% reduction in manual report generation tasks for staff
- Real-time data from the field to the dashboard
- Enhanced user trust and retention through consistent, personalized insights
Key Features
- PDF table parsing engine with multilingual parsing
- Unit harmonization engine to convert values into SI standards
- Searchable data dashboard with filters and export features
- AI chatbot (text-based initially) for direct access to insights from structured data
Target Audience
- Academic researchers (initial use case)
- Potential future expansion to university students, NGOs, and international agencies
Tech Stack
- Python (PDF extraction + data processing)
- OpenAI API for NLP and chatbot functionality
- Laravel frontend with charting and table components
- Planned voice interface for future expansion
Why it matters
This case shows how Basebuild can take fragmented, multilingual datasets and unify them into actionable intelligence. By combining several AI technologies and a thoughtful user interface, we reduce manual labor and open the door for scalable global research collaboration.

Case Study: Genomics Data Warehouse
Client Overview
The Marine Genomics project, as detailed in the BMC Genomics article, aimed to create a centralized platform for curating and analyzing Expressed Sequence Tags (ESTs) and microarray data specific to marine organisms. Recognizing the fragmented nature of marine genomic data, the project sought to provide researchers with a unified, accessible repository to facilitate comprehensive studies on marine species’ transcriptomic responses to environmental stresses.
The Challenge
Marine genomic research faced significant hurdles due to the dispersed and inconsistent nature of available data. Researchers lacked a centralized system to store, process, and analyze EST and microarray data, leading to inefficiencies and potential redundancies in research efforts. The absence of standardized tools for data submission, quality control, and analysis further compounded these challenges, hindering collaborative efforts and the advancement of marine genomics.
Our Solution
To address these issues, the Marine Genomics project developed a web-based platform utilizing PHP for the user interface, Apache as the web server, and PostgreSQL for database management. MATLAB was integrated for statistical analyses and computational processes. The platform offered tools for automated sequence trimming, quality control, BLAST searches, and facilitated direct submissions to GenBank. By supporting data from 19 species and enabling contributions from researchers worldwide, the system provided a robust infrastructure for data curation and analysis.
Results
The implementation of the Marine Genomics platform significantly enhanced the efficiency and collaboration within the marine genomics community. Researchers gained access to a centralized repository with integrated analytical tools, streamlining the process of studying marine organisms’ genomic responses to environmental factors. The platform’s success is evidenced by its adoption by researchers across various continents and its role in facilitating the submission of curated data to public databases like GenBank, thereby advancing the field of marine genomics.
Tech Stack
- Frontend/User Interface: PHP
- Web Server: Apache
- Database: PostgreSQL
- Statistical Analysis & Computation: MATLAB
- Bioinformatics Tools: BLAST (for sequence alignment and identification)
- Hosting Environment: Unix-based systems (specifically FreeBSD)
- Data Submission Integration: GenBank submission pipeline
Why it matters
This case demonstrates how Basebuild can support scientific and academic institutions in processing and presenting complex datasets. Our ability to bridge backend data pipelines and interactive front-end tools is key to empowering researchers and developers alike.

Case Study: AI-Powered Sponsor Finder
Client Overview
We conceptualized an AI-powered tool that identifies potential sponsors for WhichMat using the Instagram Graph API and AI-driven analytics. This tool is designed to help athletes, influencers, or platform creators discover and connect with sponsors that align with their niche.
The Challenge
Manually researching and contacting sponsors is time-consuming, inconsistent, and doesn’t scale. Many opportunities are missed because of a lack of structured data and outreach efficiency.
Our Solution
The AI tool includes:
- Instagram Graph API search for businesses, influencers, and brands in the BJJ/fitness space
- Filters based on industry, engagement, follower count, hashtags, and prior sponsorship activity
- NLP-based analysis of brand posts, comments, and past collaborations
- A Sponsorship Score to rank likely candidates
- GPT-powered personalized message generation for outreach
- Automated DM/email follow-ups and CRM-style tracking dashboard
Tech Stack
- Instagram Graph API (data access)
- OpenAI API (NLP + GPT)
- Python + Laravel backend (automation, dashboard)
- Custom scripts (workflow automation)
Potential Business Model
- Subscription-based access for athletes and influencers
- Tiered pricing for automated vs. custom outreach services
- Resell white-labeled versions of the tool to tournament brands or gyms
Why it matters
This concept showcases Basebuild’s ability to combine social platform data with AI to solve real business challenges. It demonstrates how automation and intelligent analysis can make sponsorship outreach more targeted, scalable, and efficient.

Case Study: UD Warehouse Logistics Dashboard
Client Overview
Custom Laravel System Powers Precision Furniture Logistics—Backed by a Simple WordPress Marketing Site
The Challenge
UniqueDeliveries.com specializes in high-touch, white glove furniture delivery and needed more than just a dispatch tool—they needed a system that could track every piece of furniture from the moment it arrived at their warehouse to the moment it left for a customer’s location.
Prior tools were cobbled together and lacked visibility, consistency, and scalability. They needed a system built specifically for the way they operate.
Robust AWS Infrastructure with CMS Flexibility
We engineered a reliable server environment hosted on AWS and powered by a CMS that balances performance, speed, and customization.
Laravel Business Application: Built for Logistics
We architected and developed a custom Laravel application that powers their warehouse and delivery operations end-to-end:
- Warehouse Intake System: Furniture is scanned in using QR codes at the dock. The system logs details about each piece and assigns it to a zone within the warehouse.
- Visual Storage Mapping: Staff can assign and view where each item is located within the warehouse by section, shelf, or bin—minimizing lost inventory and wasted time.
- Order Fulfillment Pipeline: As delivery orders come in, the system links each piece with its location, staging status, and delivery schedule.
- Multi-Role Access: Warehouse workers, dispatchers, and administrators all get tailored dashboards and tools—no clutter, just what each role needs.
- Change Tracking & Logs: Everything that moves or updates is tracked, timestamped, and traceable—giving management the oversight they never had before.
- Laravel Framework: Forms the foundation for clean, secure, and scalable backend logic.
WordPress CMS: Simple, Flexible, Informative
For the public-facing side, we created a clean, lightweight WordPress site:
- Easy to Update: Staff can manage basic content, team info, and services without needing to call a developer.
- Built for Local SEO: Optimized structure to help UniqueDeliveries show up in search results where it matters.
- Brand Consistent: Reflects their professionalism and care—just like their service.
Results
- Faster warehouse turnaround times thanks to instant intake and retrieval tools.
- Clearer accountability with role-based access and audit logs.
- Fewer lost or misplaced items through warehouse zone mapping and QR scanning.
- Improved client trust with a modern frontend presence.
Why it matters
UniqueDeliveries.com isn’t just another delivery service—they’re a logistics company that understands the value of precision. Their Laravel-based warehouse platform gives them control and visibility at every step, while the WordPress frontend keeps their marketing easy and effective. It’s a modern logistics system built from the ground up to match how they actually work.

Case Study: WhichMat SaaS for Jiu-Jitsu
Client Overview
WhichMat.com is a free SaaS platform designed for Brazilian Jiu-Jitsu competitors and coaches. It helps users track their mat assignments and match schedules in real time during tournaments – a pain point that previously required juggling multiple event apps, PDFs, or haphazard text chains.
The Challenge
Jiu-Jitsu events often use proprietary or outdated platforms for managing matches and competitor flow. This created a huge information gap for competitors, coaches, and spectators – especially at high-stakes events with multiple mats and divisions running concurrently.
Our Solution
Basebuild designed and scaled WhichMat as a full SaaS product, capable of:
- Pulling live match assignment data including mat times, locations, fighter details and much more from multiple tournament provider APIs across the globe.
- Normalizing and organizing that data into a clean, fast, mobile-optimized user experience.
- Handling real-time updates so users could follow matches without refreshing.
- Maintaining server performance under heavy traffic (especially during major IBJJF events).
- Offering a platform that is both intuitive for first-timers and powerful enough for elite coaching teams.
What Makes it Work?
- Seamless, custom built API integrations with multiple event platforms across different regions and formats.
- A custom-built Laravel backend that supports thousands of concurrent users.
- A custom-built VueJs based frontend.
- Usage of automation tools to sync mat data with real-time display logic – no manual updates or sync delays.
- Clear, clean front-end that works just as well in the bleachers as it does mat-side.
- Includes Web Push notification nullifying the need to have a Apple/Google phone app (greatly reduce cost and increased speed of development), Email and SMS (Twilio) notifications.
Results
- Over 12,000 registered users and 2,000–3,000 monthly active users and growing.
- Used by top-tier competition teams and solo competitors alike.
- Reliable performance across hundreds of tournament weekends.
- Built-in sponsor functionality for monetization and partner visibility.
Why it matters
This case study shows how Basebuild can take a community pain point, translate it into a purpose-built SaaS, and integrate multiple APIs to create a seamless experience. The automation and syncing logic behind WhichMat is exactly the kind of solution we specialize in – scalable, dependable, and custom-fit.