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Custom AI/ML solutions for construction & infrastructure industry
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 underwriting, claims, and actuarial functions — deployed in months, not 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’ll come prepared with your appetite, your loss-cost benchmarks, and a directional read on which models move the needle on your line of business.
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
Can your vision models work with our existing site cameras and drones?
Explore AI/ML solutions for construction & infrastructure
Ready to talk construction AI?
Start with a 45-minute strategy session. We come prepared with a directional read on your line of business and a scoped proposal.
