Search a topic
You define the question. The system builds a 1,000-record dataset from a global scholarly index.
Insights for ScienceConnecting researchers to the world's knowledge. Empowering discovery on any topic.
One topic search opens a structured workspace for papers, authors, journals, networks, and exportable evidence.
Your intelligence, amplified.-AI that works for you, not instead of you.
Research workflow
The researcher leads.
AI extends the reach.
Augmented scientific intelligence
From question to evidence synthesis, insightSci keeps the researcher in control while AI expands the scale of discovery.
Map the field
Explore six analytical lenses - landscape, authors, journals, networks, language, data - in one shared session.
Build your library
Select, tag, and annotate papers across searches. Add references by DOI. Export in RIS.
Generate with AI
PremiumYour selection, your notes, your objectives - the AI synthesises the literature review. You keep full authorial control.
You stay in command
insightSci does not generate knowledge for you - it amplifies your ability to navigate, judge, and synthesise it. Every insight begins with a question only you can ask.
Scientific foundation
A product built on peer-reviewed research
Every module in insightSci traces back to a published, validated methodology. Three studies. Three journals. One evolving framework.
2022
Smart Bibliometrics: an integrated method of science mapping and bibliometric analysis.
Scientometrics · Springer Nature
Evolved into insightSci
2023
Scientific Mapping Process: a method for scientific production.
MethodsX · Elsevier
Evolved into Research Mapping Intelligence
2025
GapFinder: an AI-assisted system for identifying research gaps in scientific literature.
Studies in English Language Teaching
Evolved into Gap Discovery layer
Why this matters
Most AI research tools are built on proprietary heuristics with no published validation. insightSci is different: its core methodology has been independently peer-reviewed, cited, and refined across three studies spanning four years. When you use the platform, you are applying a scientifically validated process — not a black box.
The method
Research Mapping Intelligence
A structured three-layer framework that takes you from a blank topic to a grounded literature review - with AI as a thinking partner at every stage.
Layer 1
Research Mapping
You search a topic. The system surfaces the global structure of scientific production - countries, authors, journals, networks, and temporal trends - giving you the full landscape before you read a single paper.
Global LandscapeAuthorsJournalsNetworks
AI surfaces patterns across thousands of papers - clusters, emerging topics, prolific collaborations - that would take weeks to identify manually.
Layer 2
Gap Discovery
You inspect the dataset and apply your theoretical lens. The system helps you identify what the field has not yet addressed - underexplored intersections, missing geographies, unresolved tensions between authors.
DatasetAdvanced filtersRelevance weighting
AI cross-references your selection with the broader corpus to flag gaps: topics cited together but never studied jointly, regions absent from the conversation, or decades with no empirical output.
Layer 3
Knowledge Synthesis
You select the papers, define your objectives, and annotate each reference with your own notes. The AI Literature Review Workspace generates a structured review grounded exclusively in your curated corpus - in your style, your citation format, your language.
LibraryConcept tagsAPA · ABNT · Vancouver
AI synthesises only what you selected, guided by the objectives and theoretical frame you defined. The result is a draft grounded in evidence you chose - not a generic summary of the topic.