Technology

Technology Designed for Practical AI Adoption in Indian Businesses

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 face verification and CPU optimized attendance illustration

AI attendance authentication

AI-enabled Face Verification

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

Cloud SaaS Architecture

The proposed platform is designed as a centralized SaaS system for HRMS, payroll, attendance authentication, approvals and management reporting.

S

Centralized HR and payroll workflows

Designed to connect attendance, leave, shifts, approvals and salary processing in one system.

M

Mobile-first attendance validation

Built for employee self-service, field teams and distributed branch staff.

D

Dashboard-led workforce visibility

Management dashboards and MIS support faster operational review.

Practical AI

CPU-optimized AI Processing

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.

Lower infrastructure dependency

Designed to reduce mandatory GPU infrastructure requirements.

SME-oriented adoption

Practical technology direction for cost-sensitive Indian businesses.

Internal validation

Real-world attendance verification attempts used for internal product validation.

SaaS scalability

Architecture direction suitable for multi-location and field-force use cases.

G

Geo-location Validation

Geo-location-based checks are intended to add location context to mobile attendance, especially for field teams, branch staff and shift-based operations.

IN

Data Security and India-hosted Infrastructure

The platform has an India-hosted infrastructure focus and a cybersecurity roadmap for responsible handling of workforce and attendance data.

ML

Scalable Multi-location Design

The proposed SaaS architecture is designed for organizations with multiple branches, field employees, shift teams and growing workforce complexity.

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