Centralized HR and payroll workflows
Designed to connect attendance, leave, shifts, approvals and salary processing in one system.
Technology
Sinhal Legacy LLP is developing a cloud SaaS architecture focused on AI-enabled face verification, mobile attendance, geo-location validation, payroll workflows and dashboard-led workforce visibility.
AI attendance authentication
The startup's key technology focus is a home-grown AI-enabled face verification system for attendance authentication. The system is designed to verify whether the person marking attendance is the actual registered employee, helping reduce proxy attendance, fake swipes and attendance manipulation.
The AI engine has been internally validated on more than 200,000 real-world attendance verification attempts under normal workplace conditions.
Architecture highlights
The proposed platform is designed as a centralized SaaS system for HRMS, payroll, attendance authentication, approvals and management reporting.
Designed to connect attendance, leave, shifts, approvals and salary processing in one system.
Built for employee self-service, field teams and distributed branch staff.
Management dashboards and MIS support faster operational review.
Practical AI
The AI engine is being optimized for CPU-based infrastructure so that businesses can access AI-enabled attendance authentication without depending on expensive GPU servers. This makes the solution more practical and affordable for Indian SMEs and multi-location organizations.
Designed to reduce mandatory GPU infrastructure requirements.
Practical technology direction for cost-sensitive Indian businesses.
Real-world attendance verification attempts used for internal product validation.
Architecture direction suitable for multi-location and field-force use cases.
Geo-location-based checks are intended to add location context to mobile attendance, especially for field teams, branch staff and shift-based operations.
The platform has an India-hosted infrastructure focus and a cybersecurity roadmap for responsible handling of workforce and attendance data.
The proposed SaaS architecture is designed for organizations with multiple branches, field employees, shift teams and growing workforce complexity.
Review the problem-solution flow, modules, industries and expected benefits.