More Evidence
Phones, computers, cloud accounts, images, videos, and other digital sources continue to increase the amount of evidence entering forensic laboratories.
Occlo helps law-enforcement agencies process high-volume digital evidence faster while reducing unnecessary examiner exposure to traumatic content.
Our secure machine learning assisted triage platform prioritizes potentially relevant evidence before full manual review giving forensic professionals more time to investigate, make decisions, and move cases forward.
Built by a former digital-forensics examiner for the people doing the work.
Child-exploitation investigations can contain thousands or millions of images and videos requiring review, classification, documentation, and investigative analysis.
Yet much of that process still depends on examiners manually reviewing evidence file by file.
The result is a growing operational bottleneck: evidence queues expand, investigations slow, and highly trained forensic professionals spend countless hours repeatedly viewing traumatic material.
Phones, computers, cloud accounts, images, videos, and other digital sources continue to increase the amount of evidence entering forensic laboratories.
Examiners remain responsible for sorting, verifying, documenting, and evaluating enormous volumes of material.
When evidence arrives faster than examiners can process it, cases wait.
Delayed forensic results can delay victim identification, investigative decisions, charging, discovery, and prosecution.
Repeated exposure to traumatic material contributes to secondary traumatic stress, burnout, and workforce turnover.
Occlo sits between digital-evidence intake and examiner review, analyzing image evidence and organizing potentially relevant material before an examiner begins full manual assessment.
Machine triage first. Human judgment where it matters.
EXAMINER IMPACT
Digital-forensics examiners investigating child exploitation may review enormous volumes of traumatic material as part of a single case. Research has documented the effects repeated exposure can have on stress, wellbeing, burnout, and workforce resilience.
Occlo is designed to change where human exposure occurs in the workflow.
Instead of requiring an examiner to manually review every image in sequence, Occlo performs machine-assisted triage first—identifying known material, analyzing visual similarity, and organizing evidence according to investigative priority.
The examiner remains in control of the decisions that matter.
INTAKE
Files are processed through Occlo’s secure triage workflow.
TRIAGE
Known-image matching and computer-vision analysis help organize material before full manual review.
JUDGMENT
Examiners can direct attention toward evidence requiring investigative, evidentiary, classification, or legal judgment.
01
Occlo is designed to reduce the need for examiners to repeatedly evaluate material that can first be identified or organized through machine-supported analysis.
02
Less time spent manually filtering large evidence sets means more examiner time can be directed toward analysis, victim identification, case development, and investigative decisions.
03
Occlo does not replace the forensic examiner. The system supports triage and prioritization while authorized personnel remain responsible for investigative and evidentiary decisions.
The goal is not to remove the examiner from the investigation.
It is to stop making human exposure the primary method of evidence triage.
CONTACT
For agency partnerships, pilot opportunities, research collaboration, or product inquiries, send us a message.
Secure digital evidence triage for law enforcement.