Zylent unifies AI-powered face recognition with India Post's DIGIPIN geolocation standard to deliver cryptographically verified, tamper-proof attendance across your entire workforce.
Traditional workforce tracking exposes organizations to compliance gaps, payroll leakage, and accountability blind spots.
Unverified identity at clock-in costs enterprises an estimated 2–5% of annual payroll in fraudulent attendance.
Distributed teams and field operations lack reliable proof-of-presence, creating compliance and audit vulnerabilities.
Biometric hardware, badge readers, and manual registers create maintenance burden and inconsistent data across sites.
Without cryptographic proof of identity and location, organizations face regulatory exposure and dispute liability.
One platform that verifies the right person at the right place at the right time with enterprise-grade assurance.
Google ML Kit powered on-device detection with liveness verification, adaptive exposure, and anti-spoofing, ensuring biometric-grade identity confirmation.
India Post's official standard encodes GPS into a tamper-proof 10-character code. Server-side geofence validation ensures authorized-zone compliance.
Face and location must both verify before any attendance event is logged, eliminating proxy attendance and location fraud simultaneously.
Real-time dashboards, audit trails, and exportable reports powered by Firebase Analytics for operational visibility at every level.
A streamlined four-step process from app launch to cryptographically confirmed attendance.
Employee opens the app with one-time camera and location permissions.
GPS encodes to DIGIPIN. Server validates the employee is within an authorized zone.
AI-guided face capture with liveness detection confirms the employee's identity.
Dual-verified attendance is logged with a unique ID and full audit trail.
From corporate headquarters to remote field operations, Zylent adapts to your operational model.
Eliminate proxy attendance across floors, buildings, and regional offices with unified geofenced identity verification.
Verify distributed workforce presence at client sites, project locations, and warehouses without any hardware deployment.
Meet audit and compliance mandates with DIGIPIN-backed, tamper-proof attendance records tied to official location standards.
Track shift-based staff attendance across hospitals and clinics with privacy-first, on-device face verification.
Automate student and faculty attendance with face recognition across campus zones and examination halls.
Streamline shift management and contractor verification across plants, distribution centers, and transit hubs.
Privacy-first architecture designed for regulated industries and sensitive workforce data.
All face analysis runs locally via ML Kit. Biometric data never leaves the device.
All API communication secured with TLS/HTTPS. Data encrypted at rest and in transit.
Face images are processed and immediately discarded. No templates or embeddings retained.
Minimal data collection with explicit consent flows and full data subject rights support.
Every attendance event generates an immutable log with timestamp, location code, and verification status.
Liveness detection prevents photo and video replay attacks, ensuring only live faces are accepted.
Seamless integration with the systems your organization already relies on.
SAP SuccessFactors, Workday, BambooHR
SAP, Oracle, Microsoft Dynamics
ADP, Gusto, Zoho Payroll
RESTful webhooks for any system
Scalable pricing that grows with your organization. No hidden fees.
For growing teams getting started with verified attendance.
For organizations requiring advanced analytics and multi-site support.
For large-scale deployments with custom integration and compliance needs.
Join organizations deploying identity-first attendance intelligence. Talk to our team to see Zylent in action.