Powering Data Driven Publishing

Molecular Connections’ flagship platform MC INSIGHTS® brings to you the power of human-in-the-loop AI to transform your publishing life cycle, making the journey efficient, metadata reusable and content discoverable

"AI-assisted platform for editorial workflow, including content enrichment, ensuring reusability and consistency of the metafdata and making editorial decisions efficient and precise. "

The solution allows for Semantic Data Enrichment along with assisted modules for real-time metadata attribution and standardization, paving way for numerous content driven applications including recommending the right journal, recommending reviewers, insights into the novelty of the content and much more.


Actionable insights are just a click away

Top Authors & Organizations

Wondering who your revered scholarly contributors are and what organizations contribute the most to your content? Get insights based on most read, most cited, most accessed, most popular and other criteria. 

Key Concept Trends

What are the focus areas and topics/concepts that are being addressed in your portfolio? Is there a trend and is the trend consistent with the happenings in the concerned domain/subject area? This and many more insights are powered by a dynamic concept graph.

Research Gap Analysis

How do concept trends fare against the outlined scopes/coverage of your journals? Can we identify shifts in trends over years? Is there a gap in terms of what is being offered vs what is being published? Answers to all of these and more.

Portfolio Trends

Get a birds eye view on how different portfolios are performing over a period of time, drill down and identify concepts for individual subject areas/domains within the portfolio, identify overlaps and outperformers and more.

Platforms that power

MC Miner

Tailored, methodical and a multicomponent solution for named entity recognition, disambiguation and standardization, paving way for creating integration ready knowledge bases.


A state of the art utility that aids in deciding the most probable fit for a potential manuscript. Acts as an automated transfer desk and cuts down decision times efficiently.

MC Lexicon

ML assisted, self-sufficient, human-machine readable ontology management solution. This workflow seamlessly allows building, scale up and managing information systems.


Ontology As A Service includes bespoke taxonomy development, enabling transitioning the taxonomy into an ontology for machine learning solutions, crosstalks that allow for standardization and much more.