SureSight sees the inspection through the inspector's own eyes — turning a checkbox into a verifiable record.
Classic · checkbox
Enhanced · verified
First-person imagery and computer vision confirm observable inspection steps and identify insufficient evidence.
Flags missed steps, abnormal conditions, and inconsistencies in real time — before they become failures, accidents, or liability events.
This is SureSight mid-pass on a rolling undercarriage check. As each component enters the frame it is identified, verified, and logged — air tank, wheel, brake actuator, one after another.
Component ID, timestamp, status, confidence — logged the moment each part passes the camera. No clipboard, no transcription, no "pretty sure we checked it." The capture log becomes the inspection record.
The shock absorber read at 72% confidence, so SureSight flagged it "partially captured" — indicating the view may have been partially obstructed, poorly lit, too far away, or otherwise an imperfect check. Doubt gets surfaced and managed — never silently passed.




SureSight adapts to the way your teams already work — available in several form factors, so the camera fits the task instead of the other way around. Whatever the capture device, imagery flows to an on-prem server where the AI verifies the inspection.
No data is ever sent out of your network. No visual data retention needed. Audit-ready by default.
A familiar eyewear form factor. No tablet, no extra device to carry.
Computer vision verifies observable inspection steps and flags insufficient evidence.
SureSight needs no visual data retention to operate. Storage is optional and fully configurable to your data policies when you want it.
Who did what, when, where, with what tool — and how long it took.
Inference and storage live inside the customer's network. No cloud round-trip.
Third-party auditing becomes a query, not a forensic project.
SureSight was created from direct experience with safety-critical engineering, maintenance, and inspection environments — where a completed checkbox does not necessarily prove that the underlying inspection occurred.
Designed around real inspection workflows, existing maintenance procedures, and the realities of field work — not around a generic AI platform.
The system is designed to verify observable work while minimizing the collection and retention of unnecessary worker data.
SureSight is deployed through controlled pilots using your own equipment, inspection procedures, and operating conditions before any wider rollout.
SureSight was founded by Eddy Castaneda, a mechanical engineer with 15 years on safety-critical and reliability-critical ride systems at organizations including Walt Disney Parks and Resorts and Universal Studios — leading global projects across Japan, China, and the United States, under safety jurisdictions around the world.
That work spanned conveyance systems of nearly every kind — trains, vehicles, elevators, boats, conveyor belts and more — where a missed or misjudged inspection carries real consequences. Across all of it, one gap kept surfacing: machines increasingly verify their own state through sensors and feedback, while many critical inspections still depend on a person observing something and later recording that it was done.
SureSight was created to close that loop.
Read the SureSight story →Tell us what you inspect and where. We'll set up a walkthrough of SureSight on the kind of work your teams do every day.
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