Selected Work

We take pride in building software that solves real-world problems. Here are a few of our recent success stories.

MediConnect Platform
Healthcare SaaS

MediConnect Platform

A HIPAA-compliant telemedicine platform connecting patients with specialists across rural and underserved communities.

ReactNode.jsWebRTCAWS

The Challenge

A regional healthcare network serving 15 hospitals across the Southeast needed to expand specialist access to rural patients. Their existing referral system required patients to travel 2-3 hours for specialist consultations, leading to appointment no-shows exceeding 35% and delayed diagnoses. The organization needed a HIPAA-compliant telemedicine solution that could integrate with their existing Epic EHR system while providing a seamless experience for both patients and physicians.

Our Solution

We built MediConnect, a comprehensive telemedicine platform featuring secure HD video conferencing with automatic quality adjustment for low-bandwidth connections, integrated e-prescribing with local pharmacy networks, real-time EHR data synchronization, and automated billing reconciliation. The platform includes a patient mobile app with appointment reminders, pre-visit questionnaires, and secure messaging. For physicians, we created a unified dashboard showing patient history, lab results, and imaging studies alongside the video consultation interface. We implemented end-to-end encryption, comprehensive audit logging, and role-based access controls to ensure HIPAA compliance.

Results

  • 40% increase in patient engagement with specialist care
  • No-show rate reduced from 35% to 8%
  • Average time-to-specialist-consultation decreased from 3 weeks to 2 days
  • Patient satisfaction scores increased from 72% to 94%
  • $2.3M annual savings in operational costs
  • Platform now serves 50,000+ patients across 15 facilities

Timeline: 6 months from kickoff to production launch

LogiTrack Systems
Logistics & Supply Chain

LogiTrack Systems

Real-time fleet management and AI-driven route optimization platform for a national logistics carrier managing 1,200+ vehicles.

PythonTensorFlowGoogle Maps APIPostgreSQL

The Challenge

A national logistics carrier with 1,200 vehicles and 800 drivers was struggling with rising fuel costs, inefficient routing, and poor visibility into fleet operations. Their legacy dispatch system relied on manual route planning, leading to suboptimal load assignments and excessive empty miles. Drivers had no real-time traffic information, resulting in frequent delays and missed delivery windows. The company was losing competitive bids due to inability to provide accurate delivery time estimates.

Our Solution

We developed LogiTrack, an intelligent fleet management platform powered by machine learning. The system ingests real-time data from GPS trackers, traffic APIs, weather services, and historical delivery patterns to generate optimal routes dynamically. Our AI model predicts delivery times with 95% accuracy by analyzing factors including driver behavior, vehicle type, cargo weight, time of day, and seasonal patterns. The platform features a driver mobile app with turn-by-turn navigation, automated proof-of-delivery capture, and two-way communication with dispatch. For operations managers, we built a real-time dashboard showing fleet status, exception alerts, and performance analytics. The system automatically consolidates partial loads to reduce empty miles and suggests optimal vehicle-to-route assignments.

Results

  • 15% reduction in fuel costs ($4.2M annual savings)
  • 22% increase in on-time deliveries (from 83% to 95%)
  • 18% improvement in fleet utilization
  • Empty miles reduced by 28%
  • Driver overtime decreased by 12%
  • Customer satisfaction scores improved from 78% to 92%
  • Competitive bid win rate increased from 42% to 61%

Timeline: 8 months from initial planning to full fleet rollout

FinVault Dashboard
Fintech SaaS

FinVault Dashboard

Enterprise-grade investment portfolio management platform for wealth management firms serving high-net-worth individuals.

Vue.jsDjangoD3.jsBlockchain

The Challenge

A boutique wealth management firm managing $2B+ in client assets was using a patchwork of spreadsheets, legacy software, and manual processes to track portfolios, generate reports, and ensure compliance. Their advisors spent 40% of their time on administrative tasks rather than client relationships. The firm lacked real-time portfolio analytics, struggled with quarterly reporting cycles that took weeks to complete, and had no unified view of client holdings across multiple custodians. They needed a modern platform that could aggregate data from multiple sources, provide sophisticated analytics, and automate compliance reporting.

Our Solution

We built FinVault, a comprehensive portfolio management platform that aggregates data from 15+ custodians and market data providers in real-time. The system features advanced portfolio analytics including risk metrics, performance attribution, tax-loss harvesting opportunities, and scenario modeling. We implemented automated compliance monitoring that flags potential violations of investment policy statements, regulatory requirements, and client-specific restrictions. The platform generates customized client reports with interactive visualizations, allowing advisors to drill down from portfolio-level summaries to individual position details. For security, we implemented multi-factor authentication, end-to-end encryption, blockchain-based audit trails, and SOC 2 Type II compliance. The system includes a client portal where investors can view their portfolios 24/7, review historical performance, and access tax documents.

Results

  • $2.1B in assets now managed on the platform
  • Quarterly reporting time reduced from 3 weeks to 2 days
  • Advisor productivity increased 40% (administrative time reduced from 40% to 15%)
  • Client satisfaction scores improved from 81% to 96%
  • Compliance violations reduced by 87%
  • Assets under management grew 35% in first year (attributed partly to improved service)
  • Platform now serves 450+ high-net-worth clients

Timeline: 10 months from requirements gathering to production launch

HospitalityOS
Hospitality Tech

HospitalityOS

Unified property management system for boutique hotel chains managing reservations, housekeeping, guest services, and revenue optimization.

Next.jsGraphQLStripeTwilio

The Challenge

A boutique hotel chain with 8 properties across the Southeast was managing operations through five different systems: a legacy PMS for reservations, spreadsheets for housekeeping schedules, email for guest communication, QuickBooks for accounting, and manual processes for revenue management. This fragmentation led to double-bookings, housekeeping delays, poor guest communication, and missed revenue optimization opportunities. Staff spent hours each day manually transferring data between systems. The chain was losing bookings to competitors with more modern, integrated systems and couldn't provide the seamless guest experience expected by modern travelers.

Our Solution

We developed HospitalityOS, an all-in-one cloud-based property management system that unifies every aspect of hotel operations. The platform features intelligent reservation management with real-time availability across all properties, dynamic pricing based on demand forecasting, automated housekeeping scheduling with mobile app for staff, integrated payment processing, and automated guest communication via SMS and email. We built a guest portal where travelers can manage reservations, request services, and check in/out digitally. For hotel managers, the system provides real-time dashboards showing occupancy, revenue metrics, staff performance, and guest satisfaction scores. The platform integrates with major OTAs (Booking.com, Expedia), channel managers, and accounting systems. We implemented AI-driven revenue optimization that automatically adjusts room rates based on local events, competitor pricing, and historical booking patterns.

Results

  • 30% reduction in administrative time across all properties
  • Revenue per available room (RevPAR) increased 18%
  • Guest satisfaction scores improved from 4.2 to 4.7 stars
  • Double-bookings eliminated entirely (previously 2-3 per month)
  • Housekeeping efficiency improved 25% through optimized scheduling
  • Direct booking rate increased from 35% to 52% (reducing OTA commissions)
  • Staff turnover reduced by 22% due to improved operational tools

Timeline: 7 months from initial design to deployment across all 8 properties

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