Photo Verification for Construction
Turn job site photos into verified progress evidence. AI-powered documentation tied to scopes of work accelerates draw requests, prevents disputes, and creates tamper-proof records for every phase of construction.
Industry Challenges
$177 Billion Lost to Rework Annually
The US construction industry loses $177 billion per year to rework, miscommunication, and poor data management. 40% of rework stems from inadequate documentation of concealed building elements like in-wall plumbing and MEP.
9 Out of 10 Projects Go Over Budget
91.5% of construction projects exceed their budget, with an average overrun of 28%. Large projects run up to 80% over budget. Poor visibility into actual progress versus reported progress is a root cause.
70% of Disputes Caused by Bad Documentation
The average construction dispute costs $42.8 million. Photos without timestamps, GPS coordinates, or phase details are legally inadmissible—yet most teams store images in disorganized folders with no metadata.
74-Day Average Payment Cycle
Construction is the slowest-paying industry in the US at 74 days average. 70% of contractors regularly face draw delays, and 75% of subcontractors raise bids to compensate—inflating project costs for everyone.
35% of Time on Non-Productive Activities
Construction professionals spend 14+ hours per week searching for information, resolving conflicts, and dealing with rework. Superintendents spend 1–2 hours per day on manual daily reports after their shift ends.
Subcontractor Documentation Is Inconsistent
With 15–20 different subcontractor companies on a project, documentation quality varies wildly. The inconsistency becomes 'painfully obvious around photo 500'—making audits and dispute resolution nearly impossible.
How VerifyAI Helps
Progress Photos Tied to Line Items
Photos are automatically tagged to specific scopes of work on your Schedule of Values (G703). Create a direct link between visual evidence and payment applications—so draw inspectors see exactly what they need.
AI Phase Recognition
Computer vision identifies whether a photo shows rough-in, framing, drywall, MEP installation, or finish work. Eliminates ambiguity about what construction phase was actually captured and documented.
Tamper-Proof Evidence for Draw Requests
Every photo is timestamped, GPS-tagged, and cryptographically sealed. Creates an auditable chain of evidence for every draw request—what was done, when, where, and by whom. Satisfies lender inspection requirements.
Standardized Across All Subs
Configurable documentation templates ensure every subcontractor captures the same quality and type of evidence, regardless of their tech sophistication. Enforce photo requirements per trade and phase.
Before/During/After Comparison
Automatically organize and compare photos by trade, phase, and location. Pre-drywall documentation is especially critical—the rough-in is the last time MEP components are accessible before being closed in.
Offline Site Documentation
Full capture and verification in basements, parking structures, and rural sites without cell service. Photos process on-device and sync when connectivity returns—critical for active construction sites.
How It Works
Capture
Workers photograph progress at each milestone tied to the Schedule of Values
Verify
AI recognizes construction phases, validates completion criteria, and checks photo integrity
Act
Payment applications are supported with verified photo evidence, accelerating approvals
Everything You Need. Nothing You Don't.
Enterprise-grade photo verification with the simplicity of a consumer product
Fast Hosted Verification
SDKs capture photos and send them to a managed verification API with quick feedback and server-side policy updates.
Semantic Scene Understanding
Understands sidewalks, roads, parking zones, curbs, and obstacles—not just GPS coordinates.
Offline Retry Workflows
Queue supported verification requests locally and replay them when connectivity returns.
Privacy-First Architecture
Encrypted uploads, configurable retention, and regional storage options help you meet privacy requirements.
Policy-as-Code
Translate complex parking regulations into executable vision models. Auto-enforced compliance.
Real-Time Analytics
Compliance hotspots, violation patterns, and fleet insights—all in one dashboard.
Continuous Learning
Models improve automatically. Monthly retraining included at no extra cost.
Enterprise Security
SOC 2 Type II audit in progress, running on SOC 2 / ISO 27001 infrastructure. Built-in fraud prevention detects duplicate photos and AI-generated images. Role-based access with full audit logs.
On-Device or Cloud. Your Choice.
Run verifications directly on the phone for maximum speed and privacy, or use our cloud API for maximum flexibility. Or both.
Edge Capabilities
- Scooter parking compliance
- Vehicle damage detection
- Proof of delivery verification
- Real-time camera guidance
- Automatic face & plate blurring
- Offline queue with auto-sync
Best of Both Worlds: Hybrid Mode
Run on-device for instant results. When confidence is low or you need custom policies, automatically fall back to the cloud API. Offline verifications queue locally and sync when connectivity returns.
Measurable Impact
Simple, transparent pricing.
Choose the product that fits your workflow: a complete vehicle appraisal or an individual photo check.
Vehicle inspection workflow
Vehicle appraisals
One price for the complete appraisal of one vehicle, including up to 16 original photos.
- Detailed damage analysis
- Vehicle review workspace
- Panel map and condition record
- PDF appraisal report
$2.00USD
per completed vehicle appraisal
No setup fee. No monthly minimum.
Upload each original once. Detailed analysis is included in the appraisal price.
Production access is arranged with sales. For more than 16 photos per appraisal or custom requirements, contact us for a quote.
Single-photo verification is a separate API product. Its Standard, Advanced, and volume rates do not include the vehicle appraisal workflow. See single-photo API pricing.
Single-photo verification
For individual policy checks such as parking compliance and proof of delivery. Billed per image check. These API rates do not include vehicle appraisals, detailed appraisal analysis, or the vehicle review workflow.
Simple pass/fail verification that confirms the expected vehicle is visible in the submitted image.
Single-photo API calculator
Tiered pricing: the first 100k verifications bill at the Pay-as-you-go rate, the next 100k–1M at the Growth rate, and 1M+ at the Scale rate. Your effective rate blends across bands.
* Illustrative comparison against a typical annual contract ($40k/year + $0.02/event overage). Your actual alternative may differ.
Pay-as-you-go
No commitment. Perfect for pilots.
per verification in this band
No commitment, no minimums
Growth
For 100k+ monthly verifications
per verification in this band
Volume pricing starts at 100k/month
Scale
For 1M+ monthly verifications
per verification in this band
Pricing locks at high volume
Need more than six custom rules or bespoke commercial terms? See the — scoped by order form for complex compliance policies, dedicated support, and negotiated SLAs.
How We Compare
Same capabilities. Fraction of the cost. Zero lock-in.
Best Choice VerifyAI | Captur.ai | Luna | Drover AI | |
|---|---|---|---|---|
| Pricing model | Single-photo API: from $0.008/check; vehicle appraisals: $2.00 each | Custom quote | Per-vehicle | Per-vehicle |
| Annual commitment | None | Typically required | Required | Required |
| Monthly minimums | None | Typically required | Per-vehicle | Per-vehicle |
| Edge processing | ||||
| Hardware required | Optional | |||
| Integration time | < 1 day | Weeks | Weeks | Months |
| Offline support | ||||
| Model retraining | Included | Monthly (extra) | Custom | Custom |
Frequently Asked Questions
Ready to Turn Photos Into Payment Evidence?
Join general contractors using VerifyAI to accelerate draw requests, prevent disputes, and create verified progress documentation for every phase of construction.
Photo verification in other industries
The same capture, policy, and audit-record pattern, applied to a different operation.