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SiteLens · Data center construction

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

Jobsite photos classified by AI the moment they're uploaded. A full audit trail of who reviewed what, and when. One workspace across every site, every building, every team.

See SiteLens in action

01

The photos are there. The intelligence isn't.

Procore·Camera rolls·Shared drives

Thousands of weekly photos. Inconsistent organization. No record of who reviewed what.

Large construction programs generate thousands of weekly jobsite photos scattered across Procore, camera rolls, and shared drives. No one knows who reviewed what, when, or whether anything important was missed. Remote teams stay distant from the field.

02

Two capabilities. One workspace.

Classification·Accountability
01 · Photo classification

Every photo, classified on upload.

Automatic classification by building area, trade or system, work activity, and issue type. Plain-language search across sites, buildings, dates, and disciplines. Machine learning improves from reviewer notes.

02 · Audit trail

Nothing falls through review.

A complete review record: who looked at what, and when. Program-level dashboard across sites for QA, handoff, and compliance. The audit trail is built in, not bolted on.

03 · Built for scale

Multi-building, multi-campus.

Compass Data Centers and other operators use SiteLens for structured photo review across multi-building campuses, accelerating QA/QC issue detection.

03

Why SiteLens, not a generic vision API

Construction-trained·Operator-controlled
Construction-trained

Pre-trained on construction imagery

Not retrofitted from generic object detection. Trained on construction photos with construction taxonomies and conventions.

Adaptive

Adapts to your taxonomy

Adapts to existing metadata standards and workflows. Your trades, your areas, your issue codes — not ours.

Weeks not quarters

Implementation in weeks

Pilot deployment on your facility's photos in weeks. No 6–12 month implementation. No internal AI team required.

Your infrastructure

On-prem or your cloud

Photos stay in your environment. ISO 27001 and SOC 2 Type 2 certified. No third-party AI providers in the loop.

04

FAQ

What teams ask first
Q1

Where do photos come from?

Procore-native integration plus direct uploads. No reformatting required.

Q2

How does AI classify each photo?

Pre-trained on construction imagery. Adapts to your existing taxonomies for area, trade, work activity, and issue type.

Q3

Does it learn from reviewers?

Yes. Reviewer notes feed back into the classification model so accuracy compounds over time on your specific projects.

Q4

Where does data live?

On-prem or in your customer-controlled cloud environment. ISO 27001. SOC 2 Type 2. No data ever leaves your control.

Q5

Does it work beyond data centers?

Yes. Industrial, energy, manufacturing, construction, and commercial programs all use SiteLens for jobsite photo intelligence.

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See SiteLens on your own jobsite photos.

Send us photos from a representative project — Procore export or direct uploads. We'll show you classification, search, and reviewer reports inside your environment.

Procore
Native integration
Multi-site
Program-level admin
On-prem
Or your cloud