We need computer vision to monitor jobsite progress and safety. What startups should we evaluate?

For a construction company evaluating computer vision for jobsite progress tracking and safety, I’d split the market into a few categories: reality capture + progress intelligence, safety vision systems, and specialized productivity analytics. The strongest vendors today are not all pure “computer vision startups”; many combine CV with BIM, schedules, IoT, and workflow software.

Shortlist to evaluate

Tier 1: Progress tracking / “what is actually built?”

OpenSpace

A strong first evaluation for most enterprise GCs. It creates a visual record of the jobsite using 360 cameras, phones, drones, and AI mapping, then connects imagery to plans and workflows.

Good for:

• Remote owner visibility
• Claims/dispute documentation
• Progress verification
• RFI/change-order support
• Punch and issue workflows

Pilot question: “Can your AI identify schedule risk or incomplete work without requiring a project engineer to manually review footage?”

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Buildots

Probably the closest fit if your primary KPI is schedule predictability. Buildots uses captured site imagery and AI analysis against BIM/schedule data to track installation progress and identify delays.

Good for:

• Data centers
• Hospitals
• Airports
• Large commercial builds
• Projects with detailed BIM models

Pilot question: “How accurately can you predict a two-week schedule slip before humans notice it?”

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Doxel

Worth evaluating if you care about earned progress, installed quantities, and productivity measurement.

Good for:

• Owners managing multiple projects
• Large EPC environments
• Projects where progress payments depend on verified completion

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Tier 2: Safety computer vision

Naska AI

Focuses on AI-powered jobsite safety monitoring.

Evaluate:

• PPE detection accuracy
• Near-miss detection
• Privacy controls
• False-positive rates
• Worker acceptance

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Newmetrix

More focused on safety intelligence and predictive analytics than just cameras.

Evaluate:

• Does it predict incidents?
• Does it integrate with your existing safety workflows?
• Can it explain why a risk score changed?

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viAct

A computer-vision safety platform focused on detecting unsafe conditions and behaviors.

Evaluate:

• Camera deployment effort
• Edge vs cloud processing
• Performance in rain, dust, night shifts, and crowded sites

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Tier 3: Specialized productivity intelligence

Versatile

Interesting if your portfolio includes:

• Concrete structures
• Cranes
• High-rise construction

It uses equipment data and AI to understand productivity bottlenecks.

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How I would run the evaluation

1. Pick 2–3 live projects

Avoid a lab pilot. Choose:

• One large project with BIM
• One messy real-world project
• One safety-sensitive project

2. Score vendors on:

Progress

• % complete accuracy
• Trade-level tracking
• BIM comparison
• Schedule prediction

Safety

• PPE detection precision/recall
• Near-miss detection
• False alarms per day
• Worker privacy controls

Deployment

• Camera hardware required
• Network requirements
• Training burden
• Field adoption

Integration

• Procore
• Autodesk Construction Cloud
• Primavera P6
• BIM systems
• ERP/pay applications

3. Demand measurable outcomes

A good pilot should answer:

• Did we reduce rework?
• Did we identify delays earlier?
• Did safety observations increase?
• Did superintendent/admin time decrease?
• Did claims or disputes decrease?

My initial shortlist by use case

• Enterprise GC / owner: OpenSpace + Buildots
• Schedule-critical megaprojects: Buildots + Doxel
• Safety transformation: Naska AI + viAct + Newmetrix
• Heavy civil / structural: Versatile
• Need one broad platform first: OpenSpace

I’d avoid buying based only on “AI detection.” The differentiator is whether the system creates a trusted source of truth for the jobsite and connects observations to decisions, workflows, and accountability.

Evaluating computer vision (CV) startups for a jobsite requires looking at how well they handle your two core needs: progress tracking (comparing physical reality against BIM and schedules) and safety monitoring (detecting PPE usage, unauthorized zones, and near-misses).

The prominent computer vision and AI startups in the construction tech space are organized below by their primary strengths:

1. Progress Tracking & Schedule Intelligence

• • Buildots : Uses hardhat-mounted 360° cameras worn by site teams to capture daily progress . Their computer vision algorithms automatically map the footage against your BIM model and master schedule, giving you an objective, data-driven look at exactly what percentage of a trade's work is completed versus delayed.
• • OpenSpace : Renowned for frictionless reality capture. Field personnel simply walk a site with a 360° camera attached to a hardhat, and OpenSpace’s AI automatically pins the imagery to your floor plans. Their OpenSpace Track tool uses CV to automatically quantify and track drywall, electrical, framing, and concrete progress over time.

2. Real-Time Safety & Risk Monitoring

• • Voxel AI : Plugs directly into your existing on-site security or fixed cameras, transforming them into intelligent safety sentinels without requiring heavy hardware deployment . It excels at detecting PPE non-compliance, restricted area breaches, vehicle/pedestrian proximity hazards, and blocked exits.
• • viAct : An AI-powered monitoring platform heavily focused on Environmental, Health, and Safety (EHS). It uses edge-computing computer vision to detect safety infractions specific to heavy construction—such as improper scaffolding use, unclipped harnesses at height, heavy machinery blind spots, and unauthorized personnel near lifts.
• • Smartvid.io : Uses specialized machine learning models trained on construction imagery to analyze photo streams and security feeds . It flags leading indicators of risk (like missing toe boards or unsafe ladder setups) and generates predictive "safety scores" to help project executives intervene before an incident occurs.

Key Evaluation Criteria to Keep in Mind

When running your pilots or demos with these teams, test them against these practical constraints:

To help narrow down this list, tell me:

• Are you looking for a solution that requires zero extra hardware (using existing cameras) or active daily capture (hardhat/drone walkthroughs)?
• Is your primary pain point schedule delays or OSHA compliance/safety incidents?

Evaluating computer vision (CV) startups for a construction jobsite requires looking at how they ingest visual data—whether through fixed CCTV feeds, 360° cameras, drones, or smartphones —and how effectively their machine learning models translate that data into progress tracking and Environmental Health and Safety (EHS) compliance.

The top startups and specialized tech vendors are grouped below by their core strengths to evaluate for your projects:

All-in-One Reality Capture & Progress AI

These companies excel at macro-level tracking (comparing daily site builds against your BIM or master schedule) and also integrate automated safety scanning into their workflows.

• OpenSpace : Widely known for 360° video site walks, the OpenSpace Platform leverages its "OpenSpace Track" AI to automatically analyze visual captures against your design intent and schedule, while providing robust coordination tools to flag field risks before they require costly rework.
• DroneDeploy : While starting in aerial mapping, the DroneDeploy Progress AI Platform has evolved into a complete ground-to-sky reality capture system. Its computer vision models automatically track installed work by trade type and feature a "Safety AI" engine that automatically scans visual captures for housekeeping issues, exposed edges, and missing guardrails.
• Enlaps : This platform utilizes its signature Enlaps Tikee Camera Ecosystem (wireless, solar-powered panoramic hardware) paired with cloud analytics. Their visual AI functions as an active digital lookout, converting passive daily time-lapses into data streams that track macro-level structural progress alongside micro-level PPE and zone-breach safety compliance.
• OxBlue : Operating a specialized visual analytics suite, the OxBlue Project Analytics Suite integrates AI directly into jobsite cameras to monitor schedule risks, track trade productivity patterns, and deliver automated PPE compliance reports across multiple projects from a unified dashboard.

Dedicated Real-Time Safety & EHS Intelligence

If your priority leans heavily toward edge computing, real-time safety alerts (e.g., immediate alarms for zone breaches), or heavy machinery collision avoidance, evaluate these providers:

• viAct (Customindz) : A prominent leader in heavy industry AI, the viAct AI-Powered Safety Platform provides highly precise computer vision modules tailored for complex construction environments. Their models analyze live CCTV feeds for real-time danger zone geofencing, crowd clustering, and behavioral anomalies.
• Visionify : Focusing strictly on compliance and risk prevention, the Visionify Workplace Safety Suite provides specialized apps for construction sites. Their models track specific hazards like vehicle speed violations, restricted pathway breaches, and missing safety cones or perimeter markers.
• Everguard.ai : This startup specializes in proactive, edge-based safety. The platform focuses on sensor fusion and computer vision to predict and prevent accidents between human workers and heavy equipment in high-risk industrial environments.
• Protex AI : Built primarily to manage enterprise risk, the Protex AI Safety Platform allows safety teams to plug computer vision into existing site cameras. It aggregates safety data across multiple geographic locations to help safety leaders identify historical trend anomalies and enforce global EHS policies.

Key Evaluation Criteria for Your Procurement Team

To help narrow down this list, what is the primary data collection method you plan to use on-site (such as fixed security cameras, drones, or superintendent walk-throughs)? Knowing your existing project management software will also help determine which platform integrates most seamlessly.

Yes. I’d evaluate this as two adjacent markets, because “jobsite progress” and “safety monitoring” have different technical requirements and vendor leaders.

My shortlist

How I'd narrow it

For progress monitoring: start with OpenSpace + Buildots + Doxel.

OpenSpace is particularly compelling if you want a persistent visual record of the jobsite plus progress, BIM comparison, issue management and integrations. It says its platform has been used on more than 86,000 projects across 129 countries, and it supports Procore and Autodesk Construction Cloud integrations.

Buildots is the stronger candidate if the desired output is something like:

“Area A is 73% complete, 11 days behind the baseline, and these five activities are likely to drive the schedule slip.” Its product explicitly combines 360/drone/laser captures with BIM and schedule data and uses AI for delay forecasting.

For safety: I'd put viAct at the top of the initial evaluation, then compare it against whichever broader progress platform you select. viAct is much more explicit about real-time safety detection—PPE, fall protection, unsafe acts, equipment proximity, restricted areas, crane/hoist risks, etc.

The important architecture question

I wouldn't necessarily expect one vendor to be best at both.

A good target architecture could be:

Cameras / drones → CV layer → jobsite digital twin → progress + safety events → Procore/ACC/EHS workflows

For progress, test whether the system can reliably answer “what was installed, where, and when?” For safety, test whether it can reliably answer “what unsafe condition is happening right now, and does someone need to act?”

Those are substantially different CV problems.

What I'd demand in a pilot

Don't let vendors win based on a polished demo. Give each the same 2–3 active jobsites and score:

• Progress accuracy: actual installed quantity/percent complete vs. CV estimate.
• Schedule prediction: lead time and false-positive rate for delay warnings.
• Safety precision/recall: PPE, fall protection, exclusion zones, struck-by/proximity events.
• Alert fatigue: alerts per camera/day and percentage requiring human action.
• Occlusion robustness: workers, equipment, dust, darkness, changing camera positions.
• Setup burden: cameras required, calibration, network requirements and ongoing labeling.
• BIM/schedule integration: Revit/Navisworks/P6/MS Project/Procore/ACC.
• Historical search: “show me every time this area had an unprotected edge.”
• Evidence quality: can an alert stand up in an incident investigation?
• Privacy/security: worker identification, retention, facial recognition, SOC 2, data residency.
• Unit economics: cost per project, camera, square foot and monitored worker.
• Deployment scalability: whether 10 sites and 500 sites behave similarly.

One particularly important criterion is alert quality. Construction-safety CV can look spectacular in a controlled demo but become useless if the site generates thousands of ambiguous alerts. Industry practitioners specifically flag camera placement, site-specific tuning, confidence thresholds and workflow integration as determinants of whether safety teams actually keep using these systems.

If I were running the evaluation, my first four demos would be OpenSpace, Buildots, Doxel, and viAct. That gives you a strong comparison across the progress-first, reality-capture-first, quantitative-progress, and safety-first approaches.

OpenSpace is particularly compelling if you want a persistent visual record of the jobsite plus progress, BIM comparison, issue management and integrations. It says its platform has been used on more than 86,000 projects across 129 countries, and it supports Procore and Autodesk Construction Cloud integrations.

Buildots is the stronger candidate if the desired output is something like:

“Area A is 73% complete, 11 days behind the baseline, and these five activities are likely to drive the schedule slip.” Its product explicitly combines 360/drone/laser captures with BIM and schedule data and uses AI for delay forecasting.

For safety: I'd put viAct at the top of the initial evaluation, then compare it against whichever broader progress platform you select. viAct is much more explicit about real-time safety detection—PPE, fall protection, unsafe acts, equipment proximity, restricted areas, crane/hoist risks, etc.

The important architecture question

I wouldn't necessarily expect one vendor to be best at both.

A good target architecture could be:

Cameras / drones → CV layer → jobsite digital twin → progress + safety events → Procore/ACC/EHS workflows

For progress, test whether the system can reliably answer “what was installed, where, and when?” For safety, test whether it can reliably answer “what unsafe condition is happening right now, and does someone need to act?”

Those are substantially different CV problems.

What I'd demand in a pilot

Don't let vendors win based on a polished demo. Give each the same 2–3 active jobsites and score:

• Progress accuracy: actual installed quantity/percent complete vs. CV estimate.
• Schedule prediction: lead time and false-positive rate for delay warnings.
• Safety precision/recall: PPE, fall protection, exclusion zones, struck-by/proximity events.
• Alert fatigue: alerts per camera/day and percentage requiring human action.
• Occlusion robustness: workers, equipment, dust, darkness, changing camera positions.
• Setup burden: cameras required, calibration, network requirements and ongoing labeling.
• BIM/schedule integration: Revit/Navisworks/P6/MS Project/Procore/ACC.
• Historical search: “show me every time this area had an unprotected edge.”
• Evidence quality: can an alert stand up in an incident investigation?
• Privacy/security: worker identification, retention, facial recognition, SOC 2, data residency.
• Unit economics: cost per project, camera, square foot and monitored worker.
• Deployment scalability: whether 10 sites and 500 sites behave similarly.

One particularly important criterion is alert quality. Construction-safety CV can look spectacular in a controlled demo but become useless if the site generates thousands of ambiguous alerts. Industry practitioners specifically flag camera placement, site-specific tuning, confidence thresholds and workflow integration as determinants of whether safety teams actually keep using these systems.

Yes. I’d split the market into progress intelligence and safety intelligence rather than looking for one vendor to do both well. The strongest shortlist I’d evaluate in 2026 is:

Progress / schedule monitoring

1. OpenSpace — best overall platform

   • 360°/smartphone/drone capture, spatial AI, BIM context, and progress tracking.
   • Particularly compelling if you want one visual layer spanning documentation, progress, QA/QC and field workflows.
   • Important: Disperse is no longer a separate vendor; OpenSpace acquired it in October 2025 and its progress technology now powers OpenSpace Track.
   • OpenSpace says more than 1,000 data-center projects have used its platform, which makes it especially interesting for large, repetitive projects.

2. Buildots — strongest pure progress/schedule contender

   • Uses site imagery and AI to produce objective progress data and predict delays.
   • Its July 2026 launch of superstructure tracking expands coverage into an earlier structural phase, rather than concentrating primarily on fit-out.
   • I'd put it head-to-head with OpenSpace on the same pilot.

3. Doxel — strongest BIM-to-as-built measurement

   • 360° video + BIM + schedule → component/trade-level quantities, percent complete, production rates and plan-vs-actual.
   • Particularly interesting if your economic case is schedule control, earned value, pay-app validation, or productivity measurement, rather than simply maintaining a visual record.
   • Doxel reports more than 3B sq ft tracked and 100+ data-center projects.

4. Versatile — niche but very interesting for structural work

   • Different approach: sensors + AI on cranes to understand picks, sequencing, production and delays.
   • Especially worth testing if you do lots of steel erection/high-rise work where crane productivity is a critical-path variable.

Safety / hazard monitoring

5. viAct — construction-specific safety CV

   • One of the more comprehensive options: PPE, falls, work-at-height, restricted zones, worker/equipment proximity, housekeeping, cranes and more.
   • It can use existing IP cameras and offers edge processing, which is attractive for jobsites with connectivity/privacy constraints.
   • I'd definitely include it in an RFP.

6. Protex AI — strongest camera-agnostic safety platform

   • Uses existing CCTV and focuses on leading indicators such as PPE, ergonomics, vehicle/pedestrian interactions and unsafe behaviors.
   • Its emphasis on reducing alert noise, rather than simply maximizing detection accuracy, is important—alert fatigue can kill the ROI of these systems.
   • Caveat: its strongest traction historically has been industrial/manufacturing/logistics, so I'd demand construction-specific validation.

7. Sitemetric — interesting if you want safety + site operations

   • Its new AI cameras detect PPE, falls, restricted zones, badge/no-badge activity and other construction-specific events.
   • Unlike a pure software CV vendor, Sitemetric bundles cameras, connectivity, access control, monitoring and a 24/7 operations center.
   • That makes it particularly interesting for large data-center/mission-critical sites where you want someone actually responding to alerts.

8. TrueLook — pragmatic camera-first option

   • More established as a construction-camera/documentation platform, now adding TrueAI for site activity and PPE analysis.
   • Worth evaluating if you need cameras anyway and don't want to deploy a separate CV infrastructure layer.

My suggested evaluation

If I were running the procurement, I'd make the first-round bake-off six vendors:

Then add Versatile if cranes/steel are material to your projects and TrueLook if low-friction camera deployment is a priority.

The pilot matters more than the demo

I would not select based on claimed detection accuracy. Give every finalist the same 2–4 active jobsites and score:

• Progress: % complete accuracy at trade/component level
• Schedule: how many genuine delays are detected before the PM team sees them
• Safety: precision/recall for PPE, falls, exclusion zones and worker-equipment proximity
• False-alert rate: alerts per camera/day that require no action
• Capture burden: minutes/week of superintendent/field labor
• BIM/schedule integration: P6, Primavera, Procore, Autodesk, etc.
• Offline/edge performance
• Worker privacy: face blurring, retention, local processing, governance
• Workflow: can an alert become an assigned corrective action, or does it just generate another dashboard?
• ROI: avoided rework/delay + reduced inspection/admin time + measurable safety improvement.

One important architectural point: I'd seriously consider OpenSpace/Buildots/Doxel for progress + a separate safety-CV layer rather than forcing one vendor to do both. Progress monitoring and real-time hazard detection have very different data, latency and accuracy requirements.

If you tell me your project type (e.g. data centers, commercial, industrial, infrastructure), typical project size, and whether you already use Procore/Autodesk/P6, I can narrow this to a 3–5 vendor shortlist and build a weighted evaluation matrix.

Evaluating computer vision (CV) startups for a jobsite requires looking at how well they handle the messy, dynamic reality of construction. The market divides broadly into platforms specializing in progress and BIM-alignment tracking versus those focusing on proactive safety and hazard detection.

The top startups and scale-ups in this space are organized below by their primary strengths:

1. Progress Tracking & BIM Integration (The "As-Built" Specialists)

• Buildots : Uses 360° helmet-mounted cameras worn by site teams to capture walkthroughs. Its computer vision models automatically compare real-world installation against the project's digital BIM model and master schedule, quantifying exact progress percentages and flagging critical path delays.
• OpenSpace AI : One of the market leaders in visual intelligence. Workers strap a 360° camera to a hardhat and walk the site. OpenSpace’s AI maps the imagery automatically to the floor plans, allowing remote teams to track progress across hundreds of components without needing a complex BIM setup from day one. They also acquired Disperse to enhance deep progress analytics.
• Doxel : Combines automated data capture (robotics, drones, and cameras) with computer vision to stream real-time insights on progress and productivity. It links work-in-place data straight to cost and schedule performance to catch budget overruns early.
• Cupix : Offers 360° reality capture and digital twin environments with robust BIM/CAD overlay features. It stands out for element-level installation tracking and tight integration with standard scheduling tools like Oracle P6.

2. Safety, PPE, & Hazard Compliance (The Proactive Eyes)

• Intenseye : A heavyweight in AI-powered workplace safety monitoring that scales heavily into industrial and large construction environments. It plugs into existing CCTV infrastructure to autonomously detect PPE violations, restricted zone breaches, and unsafe behavior in real-time.
• Ailytics : Specializes in leveraging existing site CCTV or video feeds to transform passive cameras into active safety and productivity monitors, minimizing false alarms in complex outdoor settings.
• Forsight AI : Camera-agnostic monitoring platform built explicitly for industrial and construction sites. It uses edge-processed computer vision at lower frame rates to reliably pick up high-risk proximities between workers and heavy machinery, alongside standard PPE compliance.
• Visionify : Mobile- and edge-friendly computer vision suite providing out-of-the-box modules for tracking restricted pathways, vehicle speeds on site, and localized safety cone/barrier compliance.

Key Evaluation Criteria for Your Pilot

When vetting these options, make sure to test them against your specific operational realities:

• Camera-Agnostic vs. Dedicated Capture: Do you want workers actively capturing data via hardhat cameras (like Buildots/OpenSpace), or do you prefer fixed tower/CCTV cameras streaming passive feeds (like Intenseye/Forsight)?
• Edge vs. Cloud Processing: Jobsite connectivity is notoriously spotty. Ensure the safety-alertting tier can process locally on edge devices if internet drops.
• Stack Integration: Check whether their data output syncs natively with your broader enterprise management environment, such as Procore or Autodesk Construction Cloud.

To help narrow this list down, could you share:

• What type of construction you do (heavy civil, commercial building, industrial/energy)?
• Whether you already have CCTV hardware deployed or plan to use walkthrough/drone capture?

When evaluating computer vision (CV) and visual intelligence platforms for jobsite progress and safety monitoring, look for solutions that blend reality capture (360° cameras, drones, or fixed mounts) with automated, model-aligned AI analysis.

The key platforms and scale-up tech providers to evaluate break down by their core strengths:

• OpenSpace : A leading visual intelligence and progress-tracking platform. Workers wear a 360° camera rig while walking the site, and the computer vision engine maps the footage to the project floor plans or BIM models. With its acquisition of Disperse, it offers robust automated tracking of percent-complete by trade and visual documentation to mitigate rework and dispute claims.
• DroneDeploy : Known originally for aerial drone intelligence, DroneDeploy has expanded aggressively into ground-level capture and advanced AI agents. Their Safety AI and Progress AI features use vision-language models to scan regular 360° walkthrough images for OSHA 1910/1926 compliance gaps (like missing guardrails, fall hazards, or improper PPE) and automatically generate timestamped, auditable reports.
• viAct : An AI video analytics startup specializing heavily in proactive safety, hazardous danger-zone breaching, height safety, and workforce compliance. They deploy smart edge-computing dashboards that ingest live camera feeds to give safety managers real-time alerts on missing PPE and equipment proximity violations.
• Spot AI : Focuses on camera-agnostic, 24/7 video surveillance powered by computer vision. Rather than forcing a costly rip-and-replace of existing site hardware, Spot AI unifies trailer, pole, and wall cameras into an intelligent network capable of real-time behavior detection, perimeter security, and safety talk-down deterrence.
• EarthCam : Long a staple for jobsite webcams, EarthCam features embedded edge computer vision that tracks hardhat and high-visibility vest compliance, proximity to energized equipment, and work-at-height safety. It stands out for heavy infrastructure or long-duration builds that need continuous outdoor telemetry integrated with platforms like Autodesk Build.
• AI Clearing : Built specifically for massive civil engineering, linear, and energy infrastructure projects. It automates progress verification and quantity tracking by digesting high-volume drone and geospatial data, matching it against baseline schedules at scale.

To help narrow down this list, tell me:

• Are you primarily monitoring indoor commercial building or large civil/infrastructure projects?
• Do you want to use existing site cameras or deploy a walkthrough/drone capture workflow?

Yes. I’d evaluate this as two adjacent markets, because the best progress platforms and the best safety platforms are not necessarily the same product.

My shortlist

If I were running the evaluation

I'd narrow the first round to five:

Buildots + OpenSpace + Doxel for progress, and Protex AI + viAct for safety.

The important distinction is the capture architecture:

• Periodic 360 walkthrough: Buildots / Doxel / OpenSpace
• Continuous fixed-camera monitoring: Protex AI / viAct / Evercam
• Mixed fixed + 360 + drone: Evercam / OpenSpace
• BIM/schedule-grounded progress: Buildots / Doxel / Naska
• Real-time safety intervention: Protex AI / viAct

OpenSpace is the interesting "platform" candidate: it can potentially consolidate documentation, progress and safety rather than requiring separate systems. It currently advertises safety observations from captured imagery and integrations with Procore and Autodesk Construction Cloud.

What I'd demand in a pilot

Don't judge these vendors on demo accuracy. Give each the same 2–4 active jobsites and score:

1. Detection precision/recall for 10–20 safety scenarios you actually care about.
2. False alerts per camera/day — this is crucial; an alert stream people ignore has negative value.
3. Progress accuracy against independently verified quantities.
4. Time-to-alert for genuinely dangerous events.
5. BIM/schedule integration — especially P6, Primavera/ACC/Procore.
6. Camera compatibility — RTSP/on-prem/edge vs proprietary hardware.
7. Privacy architecture — worker blurring, retention, edge processing and whether raw video leaves the site.
8. Workflow closure — can an AI finding automatically become an actionable Procore/ACC issue?
9. Cross-project analytics — portfolio-level trends are where the economics get interesting.
10. Implementation burden — cameras, calibration, BIM cleanup, schedule mapping and ongoing human QA.

One particularly important question: Do you want "computer vision that tells us what happened," or "computer vision that continuously watches and tells us what to do next?" The former is already fairly mature; the latter is where I'd expect the biggest differentiation among the startups.

If your goal is enterprise deployment across a GC/owner portfolio, my initial ranking would be OpenSpace / Buildots / Protex AI, with Doxel as the deeper progress-specialist and viAct as the safety-specialist challenger.

To monitor jobsite progress and safety using computer vision, you should evaluate specialized platforms that ingest site imagery (from fixed CCTV, 360° walk-throughs, or drones) and run AI models to detect hazards, track installation progress, and compare as-built conditions against BIM . The market features established scale-ups and growth-stage companies specializing in these dual use cases.

Top Computer Vision Platforms to Evaluate

• OpenSpace : A market leader in visual intelligence and reality capture. It uses AI and spatial computing to map 360° video (captured via hardhat-mounted cameras) and drone imagery directly to floor plans and BIM models, automating progress tracking and documenting site conditions over time.
• Voxel : Focuses heavily on AI-powered safety and security monitoring by integrating with existing site cameras. It detects PPE violations, unauthorized entry into restricted hazard zones (like crane radiuses or open edges), and ergonomic risks, providing real-time alerts and workflow tools to track safety interventions.
• OnSiteIQ : Specializes in combining computer vision with 360-degree interior and exterior building imagery mapped directly to floor plans. It is widely used by real estate owners and general contractors for remote progress tracking, risk assessment, and quality control.
• DroneDeploy : While famous for aerial capture, their integrated Safety AI and progress analytics platform uses computer vision to parse aerial and ground data, flagging missing guardrails, leading edge fall risks, and structural progress by trade.
• EarthCam : Best known for rugged hardware, EarthCam embeds advanced AI computer vision directly into its live jobsite camera streams to continuously log hardhat/vest compliance, restrict zone breaches, and generate automated safety audit trails.
• SiteAware : Offers a "Build-to-Plan" digital construction verification engine that uses CV to inspect exterior progress, structural components, and high-risk elevation work with high dimensional precision.

Core Capabilities Comparison

If you can share what type of infrastructure you already have on site (e.g., existing CCTV, active drone programs, or no hardware yet) and whether safety or progress tracking is your higher priority, I can narrow down which of these options fits your deployment budget.

For a construction owner, GC, or infrastructure operator evaluating computer vision for jobsite progress + safety, I’d separate vendors into a few categories. The market is moving quickly, but the strongest evaluations today are usually a mix of reality capture/progress intelligence and real-time safety monitoring rather than one platform doing everything.

Shortlist: progress monitoring / jobsite intelligence

Shortlist: AI safety monitoring (PPE, hazards, behavior)

If I were running a 90-day evaluation

I’d probably test:

1. Progress intelligence

• OpenSpace
• Buildots
• Doxel

Measure:

• % complete accuracy vs superintendent assessment
• delay detection lead time
• reduction in site walks
• RFI/change-order documentation quality
• integration with Procore / Autodesk workflows

2. Safety intelligence

• Intenseye
• viAct
• Smartvid.io

Measure:

• PPE detection precision/false alarms
• response time from detection → corrective action
• supervisor adoption
• ability to handle night shifts, rain, dust, occlusion, and moving equipment

Questions I would ask every vendor

1. What detections work reliably today?

   • Hard hats?
   • Safety vests?
   • Fall protection?
   • Restricted zones?
   • Near misses?
   • Equipment/person proximity?

2. How much infrastructure is required?

   • Existing cameras?
   • New cameras?
   • Worker-worn 360 cameras?
   • Drones?
   • Edge processing?

3. Who owns the visual data?

   • Retention period
   • Security certifications
   • Model training rights
   • Data export

4. How do you prove ROI?

   • Fewer site visits
   • Reduced rework
   • Faster claims resolution
   • Fewer safety incidents
   • Schedule recovery

My likely first-pass vendor set

For a large GC or owner:

1. OpenSpace
2. Buildots
3. Intenseye
4. Doxel
5. viAct

That gives you coverage across progress tracking, BIM validation, safety monitoring, and operational analytics.

The biggest strategic question is whether you want a “jobsite memory” platform (capture everything and analyze later) or a “live safety copilot” platform (continuous camera feeds and alerts). They are converging, but the buying criteria are still different.