TimeScene Features

Accurate Timelines For Investigations

TimeScene presents Events from across an Incident in a unified, chronological timeline, allowing investigators to clearly see how activity unfolds over time. Events from multiple Sources are displayed together while remaining fully traceable back to their origin, preserving both sequence and context.

The timeline supports searching and filtering to quickly locate relevant activity, and Events can be starred to highlight key moments for focused review. This makes it easy to reduce noise, surface critical points in time, and move efficiently between high-level sequence analysis and detailed examination without altering or duplicating the underlying data.

Intuitive Workspaces

TimeScene allows you to divide your work into secure, sandboxed Workspaces, keeping cases, projects, or departments physically separated to prevent contamination, overlap, or accidental cross-access.

Workspaces can be shared flexibly based on your needs  grant access to an entire team, a specific department, or just a few trusted individuals. This makes collaboration straightforward without sacrificing control, ensuring the right people see the right material while sensitive or unrelated work remains fully isolated.

Smart Collaboration

TimeScene is built around smart, flexible collaboration, making it easy to work together without friction. Invite people into a Workspace in seconds and give them access to exactly what they need, with everyone sharing the same view, context, and materials.

Teams can collaborate in real time or asynchronously, with changes and updates staying contained within the Workspace. Whether you’re looping in a full department or a single collaborator, everyone stays aligned -no duplicate files, no confusion, just focused collaboration in one shared space.

 
 

Incident Management

TimeScene treats each Incident as a structured, first-class record that organizes everything related to a single event. Each Incident maintains its own timeline, sources, and event history, keeping context intact as information accumulates and evolves.

Incidents are defined by clear, practical metadata including a name, description, lead investigator, and relevant location or situational details. This creates a stable anchor for analysis and review, ensuring that all activity, evidence, and updates remain tied to a single, coherent narrative from start to finish.

Manage Sources

TimeScene uses Sources to represent anything that provides information to an Incident, including people, phone calls, security cameras, photographs, and other data origins. Each Source exists as its own record, preserving where information comes from and how it relates to the Incident.

Sources can be synced individually and manage their own events, representing things that occur on or are observed by that Source. This allows activity to be tracked at its point of origin while still contributing cleanly to the Incident’s overall timeline and context.

Event Management

TimeScene uses Events to represent discrete occurrences captured or observed by a Source. Events are always children of a Source, reflecting something that happened, was recorded, or was detected at a specific moment in time.

A single Source may generate multiple Events during an Incident, such as a security camera capturing several distinct moments or a phone call producing multiple notable exchanges. This keeps individual occurrences precise and traceable, while allowing them to roll up naturally into the broader Incident timeline.

Manage Files

TimeScene uses Files to store and reference supporting material such as documents, images, audio, and video. Files can be attached directly to Incidents, Sources, or individual Events, depending on where they are most relevant.

This flexible attachment model keeps files anchored to the correct level of context, whether a document applies to an entire Incident, a specific Source, or a single observed Event. It ensures supporting material stays discoverable and meaningful without duplicating data or breaking the narrative flow.

AI Event Extraction

TimeScene uses AI Extraction to automatically identify and extract structured events from formatted documents such as PDFs. Uploaded files are analyzed to detect dates, times, actions, and contextual markers, converting unstructured content into discrete timeline events without requiring manual entry.

Extracted events are placed into a review stage before being committed to the Incident timeline. Each event includes an AI confidence score, allowing investigators to quickly assess reliability, validate details, and make corrections where needed. This workflow accelerates timeline construction while preserving oversight, traceability, and analytical control.

Secure Environment

TimeScene operates within a secure, access-controlled environment, providing infrastructure designed for handling sensitive data and regulated workloads. Access is protected through authenticated login, secure password requirements, and multi-factor authentication, ensuring only authorized users can enter the system.

Content can be shared with external parties through explicit whitelist access, allowing specific reports or materials to be reviewed without exposing the broader environment or unrelated data. This approach maintains clear security boundaries while supporting controlled distribution, keeping sensitive information protected throughout its lifecycle.

Live Training Sandbox

TimeScene includes a dedicated sandbox environment populated with realistic, pre-configured Incident, Source, and Event data for training and evaluation purposes. This allows users to explore the platform, learn workflows, and test features without impacting live or sensitive investigations.

The sandbox mirrors core system behavior, enabling users to practice ingesting data, managing timelines, reviewing Events, and navigating Sources in a controlled setting. This makes it easy to onboard new users, validate processes, and build familiarity with TimeScene’s capabilities while keeping production data fully isolated.

TimeScene Features

Accurate Timelines For Investigations

TimeScene presents Events from across an Incident in a unified, chronological timeline, allowing investigators to clearly see how activity unfolds over time. Events from multiple Sources are displayed together while remaining fully traceable back to their origin, preserving both sequence and context.

The timeline supports searching and filtering to quickly locate relevant activity, and Events can be starred to highlight key moments for focused review. This makes it easy to reduce noise, surface critical points in time, and move efficiently between high-level sequence analysis and detailed examination without altering or duplicating the underlying data.

Intuitive Workspaces

TimeScene allows you to divide your work into secure, sandboxed Workspaces, keeping cases, projects, or departments physically separated to prevent contamination, overlap, or accidental cross-access.

Workspaces can be shared flexibly based on your needs  grant access to an entire team, a specific department, or just a few trusted individuals. This makes collaboration straightforward without sacrificing control, ensuring the right people see the right material while sensitive or unrelated work remains fully isolated.

Smart Collaboration

TimeScene is built around smart, flexible collaboration, making it easy to work together without friction. Invite people into a Workspace in seconds and give them access to exactly what they need, with everyone sharing the same view, context, and materials.

Teams can collaborate in real time or asynchronously, with changes and updates staying contained within the Workspace. Whether you’re looping in a full department or a single collaborator, everyone stays aligned -no duplicate files, no confusion, just focused collaboration in one shared space.

 
 

Incident Management

TimeScene treats each Incident as a structured, first-class record that organizes everything related to a single event. Each Incident maintains its own timeline, sources, and event history, keeping context intact as information accumulates and evolves.

Incidents are defined by clear, practical metadata including a name, description, lead investigator, and relevant location or situational details. This creates a stable anchor for analysis and review, ensuring that all activity, evidence, and updates remain tied to a single, coherent narrative from start to finish.

Manage Sources

TimeScene uses Sources to represent anything that provides information to an Incident, including people, phone calls, security cameras, photographs, and other data origins. Each Source exists as its own record, preserving where information comes from and how it relates to the Incident.

Sources can be synced individually and manage their own events, representing things that occur on or are observed by that Source. This allows activity to be tracked at its point of origin while still contributing cleanly to the Incident’s overall timeline and context.

Event Management

TimeScene uses Events to represent discrete occurrences captured or observed by a Source. Events are always children of a Source, reflecting something that happened, was recorded, or was detected at a specific moment in time.

A single Source may generate multiple Events during an Incident, such as a security camera capturing several distinct moments or a phone call producing multiple notable exchanges. This keeps individual occurrences precise and traceable, while allowing them to roll up naturally into the broader Incident timeline.

Manage Files

TimeScene uses Files to store and reference supporting material such as documents, images, audio, and video. Files can be attached directly to Incidents, Sources, or individual Events, depending on where they are most relevant.

This flexible attachment model keeps files anchored to the correct level of context, whether a document applies to an entire Incident, a specific Source, or a single observed Event. It ensures supporting material stays discoverable and meaningful without duplicating data or breaking the narrative flow.

AI Event Extraction

TimeScene uses AI Extraction to automatically identify and extract structured events from formatted documents such as PDFs. Uploaded files are analyzed to detect dates, times, actions, and contextual markers, converting unstructured content into discrete timeline events without requiring manual entry.

Extracted events are placed into a review stage before being committed to the Incident timeline. Each event includes an AI confidence score, allowing investigators to quickly assess reliability, validate details, and make corrections where needed. This workflow accelerates timeline construction while preserving oversight, traceability, and analytical control.

Secure Environment

TimeScene operates within a secure, access-controlled environment, providing infrastructure designed for handling sensitive data and regulated workloads. Access is protected through authenticated login, secure password requirements, and multi-factor authentication, ensuring only authorized users can enter the system.

Content can be shared with external parties through explicit whitelist access, allowing specific reports or materials to be reviewed without exposing the broader environment or unrelated data. This approach maintains clear security boundaries while supporting controlled distribution, keeping sensitive information protected throughout its lifecycle.

Live Training Sandbox

TimeScene includes a dedicated sandbox environment populated with realistic, pre-configured Incident, Source, and Event data for training and evaluation purposes. This allows users to explore the platform, learn workflows, and test features without impacting live or sensitive investigations.

The sandbox mirrors core system behavior, enabling users to practice ingesting data, managing timelines, reviewing Events, and navigating Sources in a controlled setting. This makes it easy to onboard new users, validate processes, and build familiarity with TimeScene’s capabilities while keeping production data fully isolated.