Geteridian PlatformUnder development

More context.
Less searching.

An AI-powered workspace for research that keeps its sources in view.

We’re developing a platform for clients to connect market information, examine emerging themes and build a clearer perspective across global markets.

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geteridian platform
Interface preview
Sample project
Research questionGlobal logistics

How are operators describing capacity investment?

3 sample sources3 regionsDefined period

A first perspective

AI-assisted draft

The sample documents point to different investment priorities: improvements to existing capacity, changes to a service network, and planning around regional demand.

  • Look past the shared sector label. Each source describes a different operating decision. A common definition is needed before comparing scale.

  • Keep intention distinct from outcome. Planning language does not confirm that a capacity change has been completed.

Open question

Which operating measures would make these disclosures comparable?

Product preview. Fictional sources and illustrative analysis.Explore the screens and select a citation.

From information
to a research thread.

A single workspace built around the question you need to answer. The source, the context and the conclusion belong together.

Source discovery and organisation

Bring the sources together.

The planned workspace brings documents, disclosures and market context into a research collection defined by your question.

Question-led market monitoring

Follow the research thread.

Connect relevant developments across markets. Keep the original source, publication context and revisions close to the theme you are studying.

Source-linked analysis and review

Build a brief with a backbone.

Use AI to assist with synthesis, then review the argument against its citations, scope and evidence gaps before sharing a conclusion.

AI assistance.
Analyst judgment.

The platform is being designed to help researchers work through information while keeping the basis for each conclusion open to review.

Our research principles
Sources stay visible

Planned AI drafts link back to the evidence that informed them. Original wording and context remain available to the researcher.

Interpretation stays reviewable

Researchers can challenge a draft, examine another explanation and distinguish a reported event from its possible implications.

Uncertainty stays in the picture

The intended workflow keeps missing information, differences between markets and unresolved questions beside the analysis.

Under development

A clear direction.
A platform in progress.

The screens show the intended research experience. Product features, data coverage and access arrangements are still being developed.

Product focus

Research workflows and interface design.

Connecting source collections, question-led monitoring and a reviewable research brief.

Planned evaluation

Data quality and research usefulness.

Assessing source access, citation handling and how AI-assisted output stands up to human review.

Client access

Details to be announced.

Interested in the platform? Share your workflow and the research questions you would want it to support.

What would make your
research more useful?

Tell us where your current workflow slows down, which sources matter, and what a good research handoff looks like.

Discuss the platform