AI for attendance validation
Cross-checks time logs against location, schedule, and historical behavior to validate every shift.
AI workforce security platform
Protect every shift with AI that knows when work is real.
SecureTime helps logistics teams, service businesses, and field operations stop payroll leakage, reduce time theft, and identify suspicious attendance patterns before they become costly losses.
42%pilot goal: less leakage
2.4xtarget audit acceleration
24/7live anomaly detection
Live workforce
1,284
Shift integrity
Healthy
High-risk anomalies
07
- Unauthorized clock-in
- GPS mismatch
- Early sign-off
The problem
Payroll leakage is quietly eating away at margins.
Many businesses still rely on paper logs, manual punch-ins, and fragmented attendance tools. That creates buddy punching, ghost shifts, time falsification, and slow compliance reviews.
Who suffers
Operations leaders, HR teams, and site managers
They lose time, wages, and trust when attendance data is inaccurate or impossible to verify.
What it costs
Hours lost weekly and inflated payroll costs
Unverified attendance can drain thousands of dollars per month across staffing, overtime, and compliance risk.
Why now
Remote teams and hybrid shifts make fraud easier
As workforces spread across multiple sites, manual monitoring can no longer keep up with real-time risk.
The solution
SecureTime turns attendance into an intelligent, verifiable system.
We combine location intelligence, identity verification, anomaly detection, and predictive alerts to tell teams when a shift is likely real and when it needs human review. The result is cleaner payroll, faster investigations, and better workforce visibility.
- Real-time attendance monitoring
- Device, GPS, and behavior validation
- AI-generated anomaly reports for supervisors
- Faster, auditable payroll decisions
Biometric check
Verified
GPS route match
Match
Shift duration pattern
Review
Clock-out deviation
Flagged
AI technology
AI is at the center of our platform, not bolted on.
What data AI uses
Attendance logs, geolocation data, device metadata, shift timestamps, team schedules, historical exception patterns, and behavior baselines.
What it predicts
It detects anomalies, flags suspicious check-ins, identifies likely time fraud, and predicts which shifts need manager review.
Models & techniques
We use rule-based logic, anomaly scoring, time-series modeling, and predictive classification to power workforce intelligence.
Infrastructure
High-throughput streaming pipelines and GPU-accelerated inference help us process live activity data and generate alerts instantly.
Product features
Built to catch risk before payroll is approved.
Fraud and anomaly detection
Flags ghost shifts, early sign-offs, duplicate clock-ins, and inconsistent route activity in real time.
Supervisor action dashboard
Lets teams review exceptions, send follow-up prompts, and resolve discrepancies without spreadsheet chaos.
Compliance audit trails
Creates searchable, timestamped records for payroll disputes, labor reviews, and internal audits.
Real-time insights
Summarizes overtime pressure, absenteeism, and staffing risk across sites and teams.
API-ready integrations
Works alongside payroll systems, HR tools, job management platforms, and corporate operations workflows.
Live product preview
Clear data. Clear decisions. Less risk.
Teams need a system that explains risk instead of burying them in raw attendance data. SecureTime turns complex activity streams into simple operational decisions.
Operations dashboard
Live
Attendance integrity
96.4%
Risk score
2.1
Exception review
- Buddy check 2
- Unverified route 4
- Early sign-out 1
How it works
From shift data to action in four steps.
01
Capture activity
We collect attendance data from devices, check-ins, route records, and schedule information across your workforce.
02
Apply AI scoring
Our models compare each shift to expected behaviors and detect inconsistencies using historical and live patterns.
03
Flag exceptions
Only high-risk anomalies are surfaced to managers, reducing alert fatigue and accelerating review cycles.
04
Payout and policy actions
Supervisors review clear evidence, resolve issues quickly, and keep payroll decisions transparent and auditable.
Technology & infrastructure
Cloud-native systems designed for secure, scalable workforce intelligence.
How we use AWS
We use AWS to host backend APIs, store attendance and compliance records, run AI inference workflows, enforce identity and access controls, and monitor system availability through cloud-native observability tools.
How we use NVIDIA
NVIDIA acceleration supports high-throughput model inference, complex anomaly scoring, and real-time processing for large workforce datasets as we scale into higher-volume operations and multi-site deployments.
Market opportunity
Focused on high-risk, high-volume workforce operations.
Our initial target market is frontline operations in logistics, security, service teams, and field staffing. We are building for Nigeria, Ghana, Kenya, South Africa, and the wider African workforce market first.
Target usersOperations teams, HR, site managers, field supervisors
Launch marketsNigeria, Ghana, Kenya, South Africa
Revenue modelSubscription, team workspaces, enterprise onboarding
Growth planStart with pilots, expand to multi-site operations
Traction
MVP in development with strong early demand.
Waitlist
680+
Interested teams on the early access list across operations, field services, and security.
Pilot users
12 sites
Currently onboarding pilots in staffing, field operations, and logistics environments.
MVP status
Beta
Production-ready pilot workflows are being refined with real operational feedback from early users.
Roadmap
What we are building next.
Phase 1
MVP development
Phase 2
Beta testing with early users
Phase 3
AI model improvement
Phase 4
Cloud deployment
Phase 5
GPU-accelerated scaling
Phase 6
Expansion to more markets
Team
Built by engineers, operators, and product specialists.
AF
Bolaji Josesph
Founder & CEOFormer operations leader with experience in workforce systems, compliance, and process design for service businesses.
DT
Daniel Thompson
Head of AIBuilds the anomaly detection stack and predictive modeling system behind each workforce risk score.
ME
Mina Eze
Product & OperationsRuns pilot onboarding, gathers field feedback, and turns customer friction into product requirements.
Contact
Book a demo or join the waitlist.
Whether you are managing a field team, security workforce, or staffing operation, SecureTime helps you reduce risk before payroll is processed.
hello@securetime.space
+234 800 000 0000