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

  • Connects to multiple social and media platforms via APIs for continuous data collection.
  • Supports batch uploads of CSV/Excel files when you need to import existing datasets.
  • Integrates with Google Sheets and Airtable to keep actors, keywords and reference data in sync.
  • Normalises accounts, pages, channels, posts, comments and media assets into a consistent model.

Why it matters

  • You get a single, reliable data layer instead of one-off scripts and brittle exports living in different teams.

What it does

  • Lets you maintain actor records that link multiple accounts and channels to the same entity.
  • Stores key attributes such as country, organisations, entity type, categories and subcategories.
  • Manages reference taxonomies – countries, organisations, categories and more – in one place.
  • Tracks who created and updated each entry for auditability.

Why it matters

  • Instead of chasing individual account IDs, you work with a clean, actor-level view that is consistent across investigations and projects.

What it does

  • Stores keywords and topic definitions with information about which projects they belong to.
  • Allows you to specify languages and platform-specific settings (for example for text vs video).
  • Keeps a history of who added and updated each keyword so changes are transparent.
  • Makes it easy to adjust monitoring scopes without editing raw queries or code.

Why it matters

  • Your monitoring logic becomes explicit and auditable, instead of sitting in ad-hoc search strings and personal spreadsheets.

What it does

  • Organises work into projects with names, dates, types and status (active / archived).
  • Controls what is collected per project: accounts, posts, comments, initial backfill and ongoing updates.
  • Configures keyword-based and account-based monitoring in one place.
  • Applies retention and analysis policies per project – including separate settings for non-violative and violative content and for media assets.
  • Manages fine-grained permissions for media downloading, speech-to-text and image/video analysis.

Why it matters

  • You get repeatable, documented monitoring setups instead of one-off, opaque configurations that are hard to reproduce or explain to supervisors.

What it does

  • Stores media assets linked to posts, comments and sources.
  • Supports different media types, including images, videos, audio files and thumbnails.
  • Integrates with speech-to-text and visual analysis services where enabled by project policies.
  • Respects per-project retention rules for media, aligned with your legal and ethical requirements.

Why it matters

  • Many of the most important signals live in visuals and audio, not just in text. The Media Assets Hub keeps this material accessible and analysable within the same platform.
How moduleswork together

The modules are designed to be used together. The Data & Sync Hub handles collection and normalisation. The Source & Taxonomy Manager and Keyword & Topic Engine give you a structured view of who and what you monitor. The Monitoring & Projects Engine turns that structure into concrete, configurable monitoring pipelines. The Media Assets Hub keeps visual and audio content connected to each project. Narrative Radar and Social Graph then sit on top of this shared layer, providing narrative and network views that support supervision, investigations and research.

Whether you start with Online Platforms Supervision, Online Manipulation Detection or Election Integrity Monitoring, you are always building on the same modular foundation.

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.
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