PPE and hazard detection
Vision models analyze site camera feeds for missing hard hats, vests and harnesses, unguarded openings and equipment proximity, sending alerts to the safety manager with timestamped images.
Computer VisionAI for Construction
AI in construction from preconstruction to closeout.
We build AI in construction that spots hazards on site, predicts schedule slips before they cascade and clears the paperwork that buries project teams. Our tools connect to Procore, Autodesk Construction Cloud and your BIM models so field and office crews work from the same picture.
- Jobsite safety vision
- BIM and drawing intelligence
- Schedule risk forecasting
01 Overview
Bringing field and office data together with AI
Construction projects generate mountains of data that rarely get used: daily logs, site photos, RFIs, submittals, change orders and drone scans. Superintendents and project managers spend evenings on paperwork while schedule and safety risks build quietly. Our construction ai development turns that data into early warnings and ready-to-review drafts, so teams spend more time solving problems and less time searching for information.
Practical ai in construction starts with the jobsite. Vision models review camera feeds and photos for missing PPE, unprotected edges and progress against the plan. Language models read specifications and drawings to answer questions and draft RFIs. Predictive models compare planned and actual progress to flag activities likely to slip, giving schedulers time to resequence work or add crews.
02 Challenges
What AI solves in construction.
The recurring problems we hear from construction teams — and where AI makes the biggest difference.
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CH-01
Jobsite safety incidents
Falls, struck-by incidents and missing PPE remain persistent risks. Computer vision on site cameras flags hazards in near real time so safety managers can intervene before someone is hurt.
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CH-02
Schedule delays compound quickly
One late delivery or inspection can ripple across trades. Predictive models trained on past projects spot activities trending late and estimate downstream impact on the critical path.
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CH-03
Document overload slows decisions
Specifications, drawings, RFIs and submittals span thousands of pages. Retrieval assistants answer spec questions with citations and draft responses that engineers review and approve.
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CH-04
Estimating relies on manual takeoffs
Quantity takeoffs from drawings are slow and error-prone. AI-assisted takeoff detects and counts elements on plan sheets, giving estimators a draft quantity list to verify and refine.
03 Use cases
AI use cases for construction.
Proven applications we design, build and run in production — each delivered through one of our core services.
Spec and drawing Q&A assistant
A retrieval-augmented assistant answers questions about specifications, drawings and contracts, citing the exact sheet or section so field teams can verify before acting.
RAG DevelopmentSchedule risk prediction
Models compare planned versus actual progress, weather, crew levels and submittal status to flag activities likely to slip and estimate the effect on milestones.
Predictive AnalyticsRFI and submittal drafting
AI drafts RFIs from field notes and photos, checks submittals against specification requirements and routes each document to the right reviewer in your project management platform.
Intelligent AutomationDrone and reality capture progress tracking
Point clouds and drone imagery are compared against BIM models to measure installed quantities, detect deviations and update percent-complete figures for pay applications.
Computer VisionDaily log and report automation
Superintendents dictate updates by voice from the field, and AI turns them into structured daily logs with weather, manpower, deliveries and issues ready for review.
Voice AI & Speech04 Services
AI services for construction.
Computer Vision
Image and video AI for detection, inspection and recognition.
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RAG Development
Retrieval-augmented generation grounded in your private data.
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Predictive Analytics
Forecasting, churn, demand and risk models.
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Intelligent Automation
AI-powered process automation beyond rule-based RPA.
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Edge AI & IoT
On-device AI for cameras, sensors and embedded hardware.
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AI Integration
Embed AI into your existing CRM, ERP, apps and data stack.
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05 How we deliver
From use case to production.
Every construction AI project follows the same five stages, so you validate value early and scale with confidence.
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01
Discover Typically 1–2 weeks
AI readiness assessment, data audit and use-case discovery. We rank opportunities by business value and feasibility and agree on measurable success criteria.
Output: Roadmap · data audit · success metrics
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02
Prototype Typically 2–4 weeks
A working proof of concept on your real data, scored against an evaluation set — so you see accuracy, latency and cost before committing to a full build.
Output: PoC · evaluation report · build estimate
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03
Build Sprint-based
Production engineering: data pipelines, model training or fine-tuning, RAG retrieval, agent tooling, APIs, guardrails and the user interface your team will actually use.
Output: Production code · APIs · guardrails
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04
Deploy Cloud, on-prem or edge
Secure deployment on AWS, Azure, Google Cloud, your private infrastructure or edge devices, with CI/CD, LLMOps and MLOps pipelines from the first release.
Output: CI/CD · infrastructure as code · rollback
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05
Operate Ongoing
Monitoring, drift detection, retraining and cost optimization keep models accurate and affordable as your data, users and the AI landscape change.
Output: Monitoring · retraining · cost reports
06 Built for your sector
Designed for construction realities.
Data, regulation and the systems you already run shape every architecture decision we make.
Safety regulations and worker privacy
Site monitoring is designed around OSHA requirements and local labor rules. We focus detection on hazards rather than individual surveillance, blur faces where possible and agree on camera policies with workers and unions upfront.
Construction software integration
We integrate with Procore, Autodesk Construction Cloud, Primavera P6, Microsoft Project, Bluebeam and ERP systems such as Viewpoint and Sage so AI outputs land in existing workflows.
Harsh, connectivity-limited jobsites
Sites have dust, weather, changing layouts and patchy internet. We use rugged edge devices, offline-capable apps and models retrained as the site evolves from excavation through finishes.
How is AI used in construction?
Leading uses include safety monitoring through site cameras, schedule risk prediction, progress tracking with drones and reality capture, automated takeoffs, and assistants that search specifications and draft RFIs. Each application supports superintendents, project managers and estimators rather than replacing their judgment.
Can AI integrate with Procore or Autodesk Construction Cloud?
Yes. Both platforms offer APIs for projects, documents, RFIs, submittals and daily logs. We build integrations that read data for analysis and write drafts back for human review, so teams keep working in the tools they already know. Write-back actions are permission-scoped and logged for audit.
Does construction safety AI monitor individual workers?
We design safety systems to detect hazardous conditions such as missing PPE or unprotected edges, not to track or score individuals. Policies on retention, face blurring and alert use are agreed with site leadership and workers before deployment. Alerts go to safety leads for coaching, never into individual performance reviews.
What data do we need for schedule risk prediction?
Historical schedules with planned and actual dates are the core input, ideally from Primavera P6 or Microsoft Project. Daily logs, weather records, RFI and submittal histories and crew sizes improve accuracy. We can start with a few completed projects and expand over time.
Can AI help with estimating and bid preparation?
Yes. AI-assisted takeoff can detect and count elements on drawings, and language models can summarize bid documents, scopes and addenda. Estimators still verify quantities and pricing, but they start from a draft instead of a blank spreadsheet. We also tune detection to your drawing standards, symbol legends and trade conventions.