AI leveraging information for the BioPharmaceutical Industry

Structure massively & target precisely

Your path to AI recognition

Scaling solution for achieving complete end-to-end control of biomedical information, from the unstructured data sources to the valuable health insights :

adverse event identification, biomarker discovery, efficacy targeting & prediction, mastering data interoperability down to the thinnest form of information for extraction and visualization, are the goals we reach everyday with our 6 models

80% of biomedical resources are not available for use:

ArcaScience scaled these databases into AI models :

Avoid previous mistakes and capitalize on your own knowledge? 
AS AI : gathers and transforms unstructured data instantly into actionnable information
AI models generated does not fit with real use cases and information?
AS AI Generator : cutting-edge models made from and for the biopharma industry
Data are too heterogeneous to be exploited ?
ArcaExplore : a unique user-friendly UI to discover, compare & export targets

Our solution

A structuring AI and an AI-generator able to identify, bind, tap into and leverage any biomedical data needed.

1 tool for all your needs, gathering information, understanding your specialized vocabulary and delivering all kinds of ways to explore it : biostatistics, visualisations & targeted extractions

Use cases :
- Automatic Systematic Literature Review
- Drug repurposing (biomarkers targeting ; efficacy ; A/Es identification ; dosages)
- Pharmacovigilance & RWE automation (meta-analysis ; instant PSUR ; signal dectection)
- Clinical optimization (recruitments, automatized protocol drafting, CRF analysis etc.)

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ArcaScience AI is the first and only solution giving us both the ability to leverage and to access our data out of a hundred 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

Only with Arcascience

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RWE & Precision Medecine

How can I discover biomarkers to assist with patient stratification? Biomarker Discovering AI

How can I use RWE to understand patient reported outcomes? Automatic rendering of Meta-analysis


How can I monitor my molecule’s effects? Wide-range smart Signal Detection

How can I spend less time reporting? Automatic filling & rendering of PSURs

Market Validation

How can I simplify my protocol drafting? Protocol autofill

How to maximize my patient adoption? Patient Profile analysis

State of the art

What secondary data targets this molecule/biomarker/etc. ? State-of-the-art report

Can we predict safety issues before the phase 1? Predictive safety


What is this molecule’s potential for clinical development? Translational Science

Can we predict safety issues? Predictive safety

Clinical Development

How can I reposition this molecule? Drug repositioning

Where can I find specific patients? Patients recruitment

What is the potential benefit/risk of this drug? Efficiency prediction

Our models


Secondary Data (Pubmed ; Clinical Trials ; Next-Gen repositories : Genbanks and many others)

Primary Data (SDMS ; eLNB ; CARS ; CLIMS ; LIMS ; PIMS; eTMF ; SMR ; CTSM ; CMC ; IDMP ; PLM)


Deep Parsing

Deep Structuring

Complex Ontology Matching


Adverse events


Efficiency Indicators


Chemical properties

PK/PD (Pharmacokinetic/Pharmacodynamic)

Patient profile (inclusion/exclusion criterias)

Specialized Voc. (Ontology population)

[Technical Roadmap]


Modeling / visualization

Dataset building

Targeted Extraction


Toxicity predictions

QSP Datasets

Digital Twin extrapolation


Signal Detection


Deep Bibliography

Knowledge Graphs

ArcaScience AI

A glimpse into tomorrow’s data federation

Ask us anything

You are a researcher, scientist, or member of a related R&D institutions or company and you want to talk with us about topics like:

Data access
Lost Science
Open Science
Your search for fundings
Search process layouts
AI in research
Scientific publishing
Federative Learning