AI-Powered HRMS Software with Face Attendance & Payroll
Enkept HRMS is a full-stack workforce platform engineered by Fastcurve — covering AI-based face attendance, onboarding, asset tracking, leave, payroll and the complete employee lifecycle. Deployed across enterprise and public sector workforce environments.
- Industry
- HRTech, Public Services
- Engagement Model
- Outcome-led product engineering engagement
- Services Engaged
- 7
- Capabilities
- 5
Why this work mattered
Enkept HRMS needed a production-grade hrms capability engineered for scale, reliability and long-term evolution — not a prototype. The platform had to operate inside real hrtech workflows and meet enterprise expectations on architecture, integrations, security and operational maturity.
How we engaged
Fastcurve embedded a senior-led engineering team across custom software development, ai/ml services, product engineering and adjacent disciplines, owning architecture, build, integrations and ongoing operations — moving in production-grade increments rather than waterfall handoffs.
What changed in production
Beyond metrics — a platform now operating at enterprise grade with a stable engineering owner, predictable delivery and a clear modernization roadmap.
An engineering-led delivery model — not a hand-off.
Every Fastcurve engagement runs on a consistent delivery spine: discover, lay the platform, ship in increments, then operate and scale.
- Phase 01Discovery & Architecture
Domain deep-dive, current-state assessment, architecture blueprint, success metrics and delivery cadence locked in with stakeholders.
- Phase 02Foundation & Platform
Reference architecture, environments, CI/CD, observability, security baselines and core platform services stood up before feature work.
- Phase 03Iterative Build & Integrate
Modular delivery in short cycles — feature engineering, third-party integrations, AI workflows and migrations shipped in production-grade increments.
- Phase 04Operate, Optimize & Scale
SRE practices, performance tuning, cost optimization, continuous modernization and ongoing capability expansion as the product matures.
What this implementation delivered
- AI-based face attendance in field and office environments
- Unified HR lifecycle across onboarding, leave and assets
- Production deployments across enterprise and public sector
How Fastcurve built it
- AI face recognition
- Mobile + web platform
- End-to-end HR lifecycle
Engineered across the full stack of hrtech platform needs.
Fastcurve owned the architecture and engineering surface across every capability listed — not isolated modules.
- HRMS
- Face Attendance
- Onboarding
- Asset Management
- Leave & Payroll
- Custom Software Development
- AI/ML Services
- Product Engineering
- Mobile App Development
- QA & Testing
- Data Analytics & Dashboards
- Web App Development
Why Fastcurve was chosen — and stayed embedded.
Senior architects own the platform — not a pool of fungible engineers.
Every increment ships with CI/CD, observability, security and rollback discipline.
Long-running pods that operate as a stable extension of the customer's engineering org.
Reliability, performance and cost engineered in from day one — not bolted on later.
Planning a similar platform, modernization or AI initiative?
Talk to Fastcurve about applying this implementation pattern to your roadmap.