How Faculti Research works

Faculti does not infer consensus, quality, or correctness.
It reveals structure, patterns, and uncertainty in the research literature.

Faculti combines semantic discovery with optional, evidence-based synthesis, giving institutions and users control over how computational methods are used in the research workflow. The platform is designed to help people find, understand, and work with academic research—grounded in real papers and transparent sources.

Search by Meaning

Faculti Search lets you explore research by ideas and topics, not just keywords or subject labels.

Instead of relying on exact wording, the platform retrieves research that is conceptually related, even when authors use different terminology. Results are organised around Concepts and Concept Groups, helping you see how papers connect across fields and disciplines.

This makes discovery more flexible, especially for interdisciplinary or emerging areas.

Ask (Evidence-Based Questions)

Ask allows you to pose research questions and receive structured, readable answers based only on the retrieved literature.

Each response is grounded in specific papers, uses cautious academic language, and includes clear citations. Ask does not draw on general knowledge or the open web—it reasons directly over the research corpus.

This makes it suitable for academic, policy, and professional contexts where evidence and traceability matter.

Concept Summary

Concept Summary helps you quickly orient yourself within a topic.

For any concept, the platform synthesises recent research into:

• what the concept refers to
• what current studies focus on
• where findings tend to align
• where uncertainty or debate remains

It is designed for orientation and understanding, not claims of full consensus, and always links back to the underlying sources.

Concept Landscape

Concept Landscape provides a structured overview of how a concept appears across the literature.

Rather than a ranked list of papers, it shows:

• major themes
• patterns in emphasis
• areas of agreement and open questions

This helps users make sense of a field before narrowing their focus, supporting exploratory reading and early-stage research.