Modules of Trementum Platform

Trementum Platform is built from modules that handle data ingestion, structure, monitoring, media and analytics – so your teams can focus on supervision and investigations, not plumbing.

Each module addresses a specific part of the online platforms supervision and investigation workflow. Together they form a consistent, reusable foundation for solutions such as Online Platforms Supervision, Online Manipulation Detection and Election Integrity Monitoring.

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Core infrastructure modules

These modules power how Trementum collects, organises and monitors data across platforms and projects.

What it does

  • Collects accounts, posts, comments and related metadata across supported online platforms.
  • Supports historical backfill, continuous monitoring and recurring updates within the same data workflow.
  • Checks monitored content for edits, updates and deletions over time.
  • Normalises, stores and prepares collected data for downstream processing and analysis.
  • Makes datasets available through exports, a dedicated API or controlled database access.

Why it matters

  • This is the foundation of every Trementum deployment. It can support a short-term managed project or power a long-term self-service monitoring environment.

What it does

  • Manages accounts, pages, channels and other online sources included in your monitoring scope.
  • Supports individual records and batch uploads for large source lists.
  • Links related sources across platforms to the same person, organisation or monitored entity where needed.
  • Organises sources using countries, organisations, entity types, categories and other shared classifications.
  • Tracks active and archived records together with who created or updated each entry.

Why it matters

  • Your team can maintain a clean, reusable monitoring scope instead of managing disconnected account lists across spreadsheets and projects.

What it does

  • Manages keywords, phrases, hashtags and search queries used for monitoring.
  • Supports batch uploads for large keyword sets.
  • Assigns monitoring terms to specific projects, platforms and languages.
  • Keeps active and archived statuses together with a clear history of who created or updated each record.
  • Makes monitoring scopes easy to review, reproduce and adjust as topics evolve.

Why it matters

  • Monitoring logic becomes visible and reusable instead of remaining hidden in scripts, individual searches or personal spreadsheets.

What it does

  • Collects and stores images, video, audio files and thumbnails alongside text content.
  • Keeps every asset linked to its original post, source and project.
  • Applies configurable downloading, access and retention policies.
  • Supports audio-track extraction from video and speech-to-text processing.
  • Prepares media for visual, audio and multimodal enrichment workflows.

Why it matters

  • Investigations are not limited to text, while visual and audio evidence remains structured, searchable and connected to its original context.

What it does

  • Applies semantic and similarity analysis to posts and comments.
  • Supports topic detection, clustering, classification and narrative summarisation.
  • Analyses images and video using configurable AI models.
  • Processes speech and audio through transcription and related enrichment workflows.
  • Adds custom labels, taxonomies, annotations and scoring models to collected data.

Why it matters

  • Raw content becomes structured, analysis-ready information that can be searched, compared, visualised and reused across investigations.

What it does

  • Combines monitoring data, enrichment results and media analysis in configurable dashboards.
  • Supports timelines, trend analysis, comparisons, metrics and network visualisations.
  • Provides supervisory dashboards, investigation views and project-level monitoring overviews.
  • Can include specialised views such as Narrative Radar and Social Graph, alongside custom dashboards designed around your methodology.
  • Produces exportable charts, tables and evidence-ready outputs for reports and briefings.

Why it matters

  • Different teams can work with the same underlying data through views designed for their specific questions, workflows and decisions.
Example views
The Analytics & Visualisation Hub can power different types of views. Two common ones are Narrative Radar and Social Graph.
Narrative Radar
Social Graph
What it is
An analytics view that helps you see how topics and narratives evolve across platforms and over time.
Social Graph is a network view built on top of your sources and account data.
What it does
Tracks how content linked to specific topics, keywords or projects changes over time.
Highlights emerging and dominant narratives around issues such as elections, regulation or conflicts.
Shows how narratives move between different accounts, channels and platforms.
Maps relationships between accounts based on interactions and shared content.
Highlights clusters, cores and bridges within communities.
Helps identify coordinated or unusual patterns of amplification and engagement.
Why it matters
Instead of manually scanning feeds, you see the bigger picture of what is being said, how it spreads and when certain narratives start to dominate.
You can understand not just what is being said, but who is connected to whom and how influence flows across the ecosystem.
How modules work together

Trementum is built around the Data Collection & Monitoring Engine, the core layer that powers every deployment. It collects, normalises, updates and delivers cross-platform data, and can be used independently for short-term, analyst-managed projects.

Additional modules extend this foundation. The Source Management Hub and Keyword Monitoring Hub let teams manage what they monitor. The Media Assets Hub keeps images, video and audio connected to their original content. The Data Enrichment Engine applies AI-assisted classification, semantic analysis and media processing. The Analytics & Visualisation Hub then turns the resulting data into configurable dashboards, timelines, comparisons and network views.

Whether you are working on Online Platforms Supervision, Online Manipulation Detection or Election Integrity Monitoring, each workflow is built on the same modular foundation and can be configured around your project, methodology and level of client involvement.

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If you’d like to see how Trementum Platform could work on your data, we can prepare a live demo tailored to your use cases.

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