SiteLense: Every photo from every site. Classified, searchable, accounted for.

Jobsite photos classified by AI the moment they're uploaded. Reviewer activity tracked to the second. One workspace across every site, every building, every team.

Works on Apolo AI Launchpad
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Built for teams managing construction at scale.

The photos are there. The intelligence isn't.

Large construction programs generate thousands of jobsite photos every week. They sit in Procore folders, camera rolls, and shared drives — organized by whoever remembered to tag them, if anyone did. When a project director needs to understand what's happening at Building 4 across three trades, they're clicking through folders, not looking at structured data.

And even when someone does review the photos, there's no record of it. No way to know who looked at what, when, or whether they flagged anything. The photos exist. The accountability doesn't.
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Dashboard mockup

Two capabilities. One workspace.

Photo Classification

Every photo classified. No manual tagging.

On-site personnel upload photos directly from their devices — or SiteLens pulls them from Procore or other system. A pre-trained computer vision model scans each image the moment it arrives: building area, trade, work activity, issue type. Classified automatically, based on your project's metadata standards.
AI classifies photos by building area, trade/system, work activity, and issue type
Plain-language search across all sites, buildings, dates, disciplines, and review history
Learns from reviewer notes over time — flags problems, marks areas of concern, gets sharper with use
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Reviewer Accountability

Who reviewed what. When. For how long.

SiteLens doesn't just organize photos — it tracks what happens after they're organized. Every review session is logged. Every interaction is measured. Supervisors see exactly how their team is engaging with site data, and admins get a cross-site view of reviewer behavior.
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Session tracking: logs reviewer identity, session start and end times
Interaction metrics: time spent on each photo, each site, each building
Super admin view: review activity across multiple sites and supervisors from a single dashboard

Already running on real sites.

SiteLens is deployed at Compass Data Centers — one of North America's leading hyperscale data center developers. Their construction and commissioning teams use SiteLens to manage photo review across multi-building campus builds, with AI classification running on every image uploaded from the field.

The result: photo review that used to mean hours of clicking through folders is now a structured, filtered process. Remote teams stay closer to the field. QA/QC issues surface faster. And when it's time for building handoff, the visual record is clean, searchable, and fully accounted for.
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Built the way every Apolo AI Launchpad app is built

Apps that adapt to the operator

SiteLens is configured around your project's metadata standards, your classification categories, and your review workflows. It adapts to how your team already works — not the other way around.

Industry knowledge built in.

The computer vision model is pre-trained on construction site imagery — it understands the difference between electrical rough-in and mechanical install, between a progress photo and a punch list item. No training period. No cold start.

Weeks, not months

Connect your ERP instance or start uploading directly. SiteLens is configured to your project structure and live on your sites in weeks, not the 6–12 month timelines typical of enterprise construction tech.

Your data stays on your infrastructure

Every Launchpad app deploys on-prem or in a customer-controlled environment. ISO 27001 and SOC 2 Type 2. No data leaves your environment. No dependency on third-party AI providers.

See what your jobsite photos are actually telling you.

SiteLens runs a pilot on your own project data in weeks. We connect to your ERP instance, configure classification to your project's standards, and get your review team up and running.

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FAQs

Find answers to common questions about PowerSense.
Where do the photos come from?
SiteLens pulls photos directly from Procore or other ERP or accepts uploads from on-site personnel's devices. Both paths flow into the same workspace — no duplicate management.
How does the AI classify photos?
A pre-trained computer vision model scans each image on upload and classifies it by building area, trade/system, work activity, and issue type — based on your project's metadata standards.
Does the classification get better over time?
Yes. SiteLens learns from reviewer notes, corrections, and flags. The more your team uses it, the sharper the classification becomes for your specific project types and standards.
Where does our data go?
Nowhere you don't control. SiteLens deploys on-prem or in a customer-controlled environment. No data leaves your infrastructure. No dependency on third-party AI providers. ISO 27001 and SOC 2 Type 2 certified.
Is this only for data center construction?
Data center construction is where SiteLens has the deepest deployment experience, but the same capabilities apply to any large-facility build or operation with distributed sites and high photo volumes — industrial campuses, energy infrastructure, large commercial construction.