RunnersPod
The Challenge
The running community lacked a unified digital space to manage event registrations, runner profiles, and organizer logistics efficiently.
The IANDEV Solution
Built a high-fidelity web platform that serves as a dual-purpose portal for both athletes and event organizers, featuring streamlined payment gateways and result tracking.
The Impact
Created a scalable, high-traffic digital hub that professionalizes the local racing industry, providing a seamless experience from registration to the finish line.
Biometric Logs System
The Challenge
An agency’s existing biometric hardware and software produced raw logs that failed to meet the strict reporting and auditing standards of the Commission on Audit (COA).
The IANDEV Solution
We engineered a custom middleware layer that extracts raw biometric data and re-formats it into COA-compliant Daily Time Records (DTR).
The Impact
Achieved 100% audit compliance and eliminated manual data corrections, ensuring seamless payroll processing and regulatory peace of mind.
MSWDO Information
Management System
The Challenge
Difficulty tracking client eligibility for assistance within the mandated 3-month window, relying on slow, error-prone manual entries.
The IANDEV Solution
Developed a robust, online/offline capable management system featuring dynamic dashboards that track funding sources and assistance distribution in real-time.
The Impact
Prevented duplicate claims and unauthorized assistance via automated eligibility checks, while providing leadership with instant visibility into fund utilization.
Accounting Management System
The Challenge
Finance teams were burdened by "fragmented data," manually navigating and cross-referencing multiple MS Excel spreadsheets to verify accounting entries.
The IANDEV Solution
Consolidated legacy spreadsheets into a centralized, relational database system with automated entry validation and cross-tabulation features.
The Impact
Reduced data entry time and virtually eliminated human error, allowing the accounting team to focus on financial analysis rather than manual data encoding.
