Secure Digital Evidence Triage for Law Enforcement

Accelerating justice through intelligent evidence triage.

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.

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Digital evidence keeps growing. Human capacity does not.

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.

01

More Evidence

Phones, computers, cloud accounts, images, videos, and other digital sources continue to increase the amount of evidence entering forensic laboratories.

02

Manual Review

Examiners remain responsible for sorting, verifying, documenting, and evaluating enormous volumes of material.

03

Forensic Queues Grow

When evidence arrives faster than examiners can process it, cases wait.

04

Investigations Slow

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Delayed forensic results can delay victim identification, investigative decisions, charging, discovery, and prosecution.

05

Examiner Exposure Compounds

Repeated exposure to traumatic material contributes to secondary traumatic stress, burnout, and workforce turnover.

You cannot solve an exponentially growing evidence problem by asking people to look at more evidence.
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EXAMINER IMPACT

Protect the people behind the evidence.

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.

Machine triage first. Human judgment where it matters.

INTAKE

Evidence Entering Analysis

Files are processed through Occlo’s secure triage workflow.

TRIAGE

Machine-Assisted Prioritization

Known-image matching and computer-vision analysis help organize material before full manual review.

JUDGMENT

Focused Examiner Review

Examiners can direct attention toward evidence requiring investigative, evidentiary, classification, or legal judgment.

01

Reduce repetitive review

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

Expand investigative capacity

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

Preserve human authority

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.

Company Timeline

20 24
Formation Company formed Occlo begins Occlo formally begins operations and lays the foundation for safer, faster image-evidence triage. February 2024Program Mid-Atlantic I-Corps Next Cohort Occlo is selected for the Mid-Atlantic I-Corps Next Cohort to strengthen customer discovery and commercialization. July 2024Grant funding USM Fund Award University System of Maryland Occlo received grant funding from the University System of Maryland in support of the company’s continued growth and development. Aug 2025Relationship NCMEC National Center for Missing & Exploited Children Occlo establishes a relationship with NCMEC as its investigator-centered approach continues to develop. October 2025Development MVP at Bowie State Research-led product development Work begins on the MVP and demo with Bowie State University under the leadership of Dr. Md Kamruzzaman Sarker. December 2025 / January 2026Beta First state beta customer Ohio Internet Crimes Against Children Task Force Occlo secures its first state beta customer through the Cuyahoga County Prosecutor’s Office. February 2026Global International relationships Cross-border investigator engagement Relationships are established with Interpol Singapore, an ICAC Task Force, and the UK Metropolitan Police. February 2026Partnership Kindred Tech New Zealand nonprofit partner Occlo establishes a relationship with Kindred Tech, a registered nonprofit organization based in New Zealand. May 2026Intellectual property Patent pending Protection in progress Patent-pending work advances as Occlo continues developing and protecting its core technology. July 2026Program University of Maryland Startup Sprint Robert H. Smith School of Business Selected to participate in the University of Maryland, College Park Robert H. Smith School of Business Startup Sprint, where MBA student teams worked with Occlo on a real-world strategic business challenge and developed recommendations for the company. Aug 2026
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CONTACT

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Secure digital evidence triage for law enforcement.

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