Predict a drug's benefit-risk
from day 1
With our top of the art LLMs

Query - Analyse - Retrieve - Expand

100% of your biomedical data in 1 place

x100 faster drug adverse events detection

x36 faster drug efficacy discovery

x11 more patients data generation

Our solution

100+billion datapoints interpreted by AIs for

Instant literature review : a unique harmonizing language model
Safety :
automated PV reports
Efficacy :
automated biomarker identification
Prediction :
highly qualified datasets feeding predictive algorithms

Query. Analyse. 
Retrieve. Expand.

QUERY : drug, pathology, adverse event, biomarker and much more with our smart entities

ANALYSE every risk, benefit and patient profile from open, internal and external biomedical data

RETRIEVE a comprehensive dataset using our Risk or Efficacy language models

EXPAND your knowledge by combining & cross-referencing information thanks to

AS ExploreTM for Literature Review applied to
Article writing, Pharmacovigilance, Market insight discovery & Clinical benefit-risk guidance

...or by asking unlimited questions to our Interpretative AI focused only on your field of research (online soon)

ArcaScience provided the first and only solution giving us both the ability to leverage and to access our data out of hundreds of different sources never merged together and to target crucial oncology datapoints (mostly biomarkers and adverse events), leading us to save millions over a year and significantly accelerate our pace of development.

Head of R&D oncology at a top 5 Big Pharma

Only with Arcascience

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Biomedical data

85m publications & 20m medical records, clinical trials, R&D data etc.

Data Federation

>80% of your own data rendered annotated, interoperable & searchable

Extraction Level

Starting from state of the art querying, side-effect retrieval, all the way to gene extraction

Ask us anything

You want to talk with us about topics like :

Instant Safety Profiling
Instant Benefit-Risk Assessment
Toxicity prediction
Efficacy prediction
Instant Systematic Literature Review