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More evidence
More sources produce more screenshots, files, diagrams, images, and artifacts.
VISUAL EVIDENCE TRIAGE FOR ENTERPRISE SECURITY
Occlo is developing machine-learning technology that helps security and forensic teams surface relevant and sensitive visual material across large digital evidence collections.
Modern investigations can involve thousands or millions of screenshots, documents, presentations, images, and other visual artifacts.
Occlo is designed to help investigators identify, rank, and organize potentially relevant material before intensive human review—so specialist time is spent on analysis and judgment, not repetitive first-pass searching.
01 / THE PROBLEM
Enterprise investigations can span endpoints, cloud storage, collaboration platforms, removable media, and exported evidence collections.
Relevant visual material can be buried inside enormous volumes of low-value content, forcing highly trained investigators into time-consuming manual review.
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More sources produce more screenshots, files, diagrams, images, and artifacts.
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Investigators still sort, compare, search, and evaluate evidence file by file.
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Sensitive assets and visual relationships disappear inside the volume.
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Search time delays decisions, containment, legal review, and response.
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Specialist time is spent on repetitive first-pass review instead of analysis.
02 / THE OCCLO SYSTEM
Occlo combines exact-match methods with visual similarity analysis to create a ranked, investigator-facing view of potentially relevant material.
See where it fits →01
REGISTER
Organizations define visual assets that matter—such as diagrams, designs, screenshots, dashboards, or other sensitive material.
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ANALYZE
Evidence is processed for exact matches, transformed copies, and visually related material across large collections.
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PRIORITIZE
Potentially relevant evidence rises to the top and related items are organized into reviewable visual families.
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INVESTIGATE
Occlo surfaces signals. Investigators determine relevance, meaning, attribution, and action.
03 / VISUAL MATCHING
The research focus extends beyond exact duplicate detection to transformations that can make sensitive material harder to find.
Cryptographic fingerprints provide a deterministic first layer for identical files.
Evaluate transformed versions that no longer share the same file hash.
Research visual similarity under perspective, glare, and screen recapture.
Group related imagery so investigators can understand evidence as a connected set rather than isolated files.
04 / APPLICATIONS
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Surface sensitive or related visual material during internal security inquiries.
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Support investigators examining possible misuse or movement of protected visual assets.
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Compare recovered evidence against proprietary designs, diagrams, and other visual crown jewels.
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Prioritize visual evidence during incident response, forensic review, and post-event investigation.
05 / PRINCIPLE
Machine intelligence should narrow the search, not make the investigative decision.
Occlo is being designed as an investigator-facing triage layer. It surfaces potentially relevant evidence while preserving human responsibility for relevance, attribution, legal conclusions, and action.
CONTACT
For agency partnerships, pilot opportunities, research collaboration, or product inquiries, send us a message.
Secure digital evidence triage for law enforcement.