Our platform analyzes medical research articles that
are available to the public. It extracts important
concepts from these articles and identifies causal
and associative relationships between them. It then
organizes this information into a specialized database,
forming a knowledge graph.
A researcher can specify a pair of concepts and the
system will retrieve causal chains with lengths
specified by the filter. Every link in each causal chain
is documented by a sentence extracted from a
research article. Specific research articles can be
accessed by the user using web links provided by
Watch the Demo
The platform is meant to be primarily used via API.
You can build your own pipeline in Python, R,
or any other language to perform article search,
concept analysis, drug repurposing/repositioning,
target discovery, among multiple other tasks.
See documentation here:
Our Community Can Help
Join our growing community.
Enhance Literature Review
Our platform can find articles that are relevant for
your research based on the mechanism of action,
i.e., via concepts that occur on a causal chains you
find by specifying the likely cause and effect.
As a result, literature reviews will capture documents
within the key words you specify, as well as articles
with other relevant concepts that can enable you to
uncover hidden connections not documented in any
single document in their entirety.
Spend less time on organizing reviews.
Focus On Your Research
Our software empowers you by speeding up the
analysis of previously published research,
giving you the insight to build on what already
exists, and focus on driving your own
SAVE UP TO 95%
time spent on pre-processing your documents
Freemium Sign Up
The platform is freemium, which means you can
use its basic functionality for free indefinitely.
Register to get 14 days of extended functionality.
If you want to use advanced features after the
trial period, you can subscribe to a paid plan.
Please get in touch with us via