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SmartBarrel

AI-powered biometric time tracking for construction

Biometric facial recognition time clock and mobile app that eliminates buddy punching and automates payroll with AI-verified timesheets. Includes hardened IoT hardware with GPS, integrations with major construction management platforms.

$8.63M raisedGrowth Stage
Founded 2016 · 50+ general and specialty contractors including Kiewit, JGR Construction, NV2A Group, AG Structures
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WHY IT EXISTS

Why This Tool Exists

The Problem

Construction crews waste 5-10 hours per week on manual time tracking, face frequent buddy punching and time theft that costs contractors $5,000+ per day per project, and spend significant time reconciling payroll disputes. Traditional punch cards and spreadsheets provide no proof of actual presence on jobsite.

The Solution

AI-powered biometric facial verification creates 100% accurate, self-generated timesheets with zero manual entry. Portable solar/AC-powered hardware and mobile app capture verified attendance with GPS location, automatically syncing with Procore, CMiC, and accounting systems to eliminate payroll errors and disputes.

USAGE

How You Use It

Delivery Method
SaaSMobile AppHardware Device
Integrations
ProcoreCMiCViewpoint VistaQuickBooksPowerBI
Disciplines
Construction
Workflows
Data & Automation
Project Phases
Construction Administration, Operations/FM
Project Types
Commercial, Infrastructure, Residential
TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:Worker photos for biometric enrollment, Jobsite access to hardware or mobile phone
Optional:Project cost codes, Shift schedules, Pay rates
Formats:Digital photos (JPG, PNG), Mobile camera input, GPS coordinates
Output
What you get
Format:Automated timesheet data with location and identity verification
Fields:Clock-in/out timestamps, Worker identity (verified biometric match), GPS location of clock-in, Project assignment, Approved timesheets, Payroll-ready data
Algorithm
How it works
Model:Proprietary AI facial recognition (specific model not disclosed)
Accuracy:Claims 100% accuracy for time tracking; facial recognition accuracy not independently verified
Privacy
How your data is protected
Retention:Project-based retention (specific duration not publicly specified); data deleted from active database upon request with archive copies retained per legal requirements
Training:Not publicly specified whether biometric data is used to train models
Compliance:Privacy policy available, SOC 2 status not publicly confirmed
API
Integration
Endpoint:API 2.0 documentation at docs.smartbarrel.io
Method:REST API
USE CASES

Use Cases

  • ·Eliminate buddy punching and time theft on large jobsites
  • ·Automate payroll for subcontractors and day labor
  • ·Achieve $5,000+ daily savings through accurate labor tracking (per Kiewit case study)
  • ·Enable real-time safety accountability (know who is on site)
  • ·Integrate timesheet data directly into cost accounting
PRICING

Pricing

Free
Free trial available
Pro
Contact for custom pricing
Enterprise
Custom pricing based on project duration and worker count
Sources & Research NotesResearch date: 2026-02-01
Data Sources (8)
Fields Checked (16)
problem, solution, deliveryMethod, integrations, disciplines, projectPhases, projectTypes, yearFounded, maturityStage, customerBase, fundingTotal, input-formats, output-structure, control-features, useCases, api-endpoints
Not Found (8)
soc2-compliance, data-retention-duration, training-data-policy, independent-accuracy-verification, rate-limits, specific-api-documentation, competitor-comparison, employee-count-current
About this research: This record summarizes the cited sources and fields checked. A research date does not establish hands-on testing. Consult the original sources for current details and limitations.
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