Reduction in recordable safety incidents from computer-vision site monitoring in year one.
Typical ROI window for AI progress-monitoring deployments (6–12 mo for safety).
Of contractors now reporting measurable business impact from AI, up from 17% YoY.
Achieve immediate, organization-wide results
Six measurable outcomes across preconstruction and bidding, field safety, BIM compliance, and project controls, deployed in months rather than years.
Site Safety Vision
Computer vision flags PPE violations, struck-by exposures, and unsafe-zone breaches in real time. 20–40% fewer recordable incidents.
Progress vs BIM Monitoring
Auto-compare drone, crane, and fixed-camera imagery against BIM and schedule. 3–6 month ROI typical.
RFP & RFQ Quoting
LLMs that parse spec packages, surface ambiguous clauses, and generate first-pass quantity takeoffs.
Spec & Submittal NLP
Auto-index 1,000-page spec books, route submittals to the right discipline, and flag conflicting requirements.
Productivity & Crew Analytics
Time-on-task models that flag underperforming crews and equipment idle time without micromanaging.
Schedule Risk Forecasting
Predict slippage, liquidated-damages exposure, and critical-path drift before they show up on the weekly report.
Capabilities across the construction & infrastructure value chain
Preconstruction & Bidding
- RFP / RFQ document parsing and quoting LLMs
- Quantity takeoff with vision and BIM extraction
- Subcontractor selection and risk scoring
- Win-probability and margin-target modeling
Field Operations & Safety
- PPE and unsafe-behavior detection from site cameras
- Struck-by and crush-zone proximity monitoring
- Hot-work, confined-space, and lift-compliance vision
- Worker-vital and fatigue monitoring via wearables
Progress, Quality & BIM Compliance
- Drone, crane, and fixed-camera progress capture
- BIM-vs-built deviation detection
- Punch-list automation from photo evidence
- Pay-app verification and quantity reconciliation
Project Controls & Risk Management
- Schedule-slippage prediction and critical-path drift
- Weather and supply-chain disruption modeling
- Change-order classification and cost forecasting
- Insurance claim and litigation-risk scoring
How a $2.5B GC cut recordable incidents 36% and recovered 2 weeks per project
A national general contractor with 38 active jobsites was relying on weekly walks and self-reported safety logs. We deployed a computer-vision platform across their existing site cameras and drone fleet that flagged PPE violations, struck-by exposures, and unsafe-zone breaches in real time, with auto-routing to the foreman’s phone. Recordable incidents dropped 36% within 12 months, EMR improved enough to qualify for tier-1 insurer rates (saving $1.2M/year), and progress-vs-BIM dashboards cut weekly reporting time by 70% — recovering roughly 2 weeks per project in PM and superintendent capacity.
Speak with a construction AI expert
A 45-minute scoping call. We come prepared with your project portfolio, your site and equipment counts, and a directional read on which workflows are worth automating first.
Ask us about
- Computer-vision site safety and PPE monitoring
- Progress-vs-BIM tracking with drones and fixed cameras
- RFP / spec / submittal NLP and quantity takeoff
- Schedule-risk and critical-path drift forecasting
- Productivity and crew analytics from video
- Change-order and litigation-risk scoring
Frequently asked questions
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Ready to talk construction AI?
Start with a 45-minute strategy session. We come prepared with a directional read on your operation and a scoped proposal.