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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 raised 📈 Growth Stage

Founded 2016 • 50+ general and specialty contractors including Kiewit, JGR Construction, NV2A Group, AG Structures

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Why This Tool Exists

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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.

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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.

How You Use It

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Delivery Method

SaaS Mobile App Hardware Device

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Integrations

Procore CMiC Viewpoint Vista QuickBooks PowerBI

Disciplines

Construction

Project Phases

Construction Administration, Operations/FM

Project Types

Commercial, Infrastructure, Residential

Data Transparency

Exactly what this tool uses and how

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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

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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

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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

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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

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API

Integration

Endpoint: API 2.0 documentation at docs.smartbarrel.io

Method: REST API

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

Free

Free trial available

Pro

Contact for custom pricing

Enterprise

Custom pricing based on project duration and worker count

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📚 Research Sources & Data Quality Last verified: 2026-02-01

Data Sources (8)

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Verified Data (16)

problem, solution, deliveryMethod, integrations, disciplines, projectPhases, projectTypes, yearFounded, maturityStage, customerBase, fundingTotal, input-formats, output-structure, control-features, useCases, api-endpoints

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Not Found (8)

soc2-compliance, data-retention-duration, training-data-policy, independent-accuracy-verification, rate-limits, specific-api-documentation, competitor-comparison, employee-count-current

Our Commitment: We only include verified data from official sources. If information isn't publicly available, we mark it as "Not publicly specified" rather than guessing.