Augmented Intelligence Platform for Data-driven

Hypotheses Generation & Novel Predictions

in Biomarker & Drug Discovery

Contact us for Collaborations & Contract Research Partnerships



Discovery Workflow









    • Identification of novel biomarkers from healthy versus disease metabolomics patient datasets for bladder cancer and Crohn's disease.
    • Identification of non-toxic novel molecular targets for colorectal cancer from medical literature & healthy versus disease transcriptomics datasets.
    • Identification of novel molecular targets from breast cancer phenotypic screening datasets.
    • Identification of novel indications for drug repurposing from transcriptomics datasets for cancer and rare disease.


In-house Programs & Collaborative Partnerships


Partnerships & Collaborations


    • Repurposing drugs for novel indications using machine learning models
    • Prediction of compound combination therapies
    • Identification of novel biomarkers from multiomics data
    • Recognition & mapping of compound structures & structure activity relationships (SAR) from patents & experimental data
  • Identification of novel molecular targets using machine learning models
  • Drug pipeline & clinical data analysis tools for R&D trends
  • Electronic health record (EHR) conversion & analysis
  • Drug labeling information extraction & analysis
  • Wearable  sensor data analytics for digital biomarkers
  • Machine learning models of in vivo behavioural data



Contract Research Services


Request a Consultation


Enterprise Platform




    • Hypothesis generation with 3D landscape network visualization
    • Semantic search inside  1 billion structured life science data points
    • Personalized AI recommendations for literature, Images, research tools & experimental datasets
    • Experimental image matching & text extraction tool
    • Recommendations for test hypotheses validation assays




  • Proprietary scientific corpi, discovery & clinical trial data & omics datasets
  • 50+ integrated ontologies with automated thesauri & menu filtering
  • 250+ selected life science data repositories
  • Secure private cloud for cross-team experimental data discussion & internal project collaboration



Request a Demo


In Vitro & In Vivo Assay Engines


Antibody Hub is a smart browser with Automated Thesauri & Semantic Search optimized for Antibodies. including experimental conditions latest papers, figure images & methods, and relavant public databases.


Cell Hub is a smart browser with Automated Thesauri & Semantic Search optimized for Cell Lines. including experimental conditions latest papers, figure images & methods, and relavant public databases.


InVivo Hub is a smart browser with Automated Thesauri & Semantic Search optimized for Animal Models. including experimental conditions latest papers, figure images & methods, and relavant public databases.



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Meet The Team














Metabolomics & Cheminformatics

Digital Marketing & Design

Genomics & Transcriptomics

Background in emerging biotechnology & bio-medical research with over a decade of commercial experience in the life science research market. Previously, associate director at Merck KgaA leading the emerging biotechnology initiative in Europe. Mark co-founded Curogenix, a European commercial agency for in vitro & in vivo contract research services, and prior to that worked at Sigma-Aldrich as a field  applications specialist for emerging technologies.

Pavel has a background in computer science, software engineering &  applied bioinformatics. He has particular expertise in biological patterns, data classification and recognition, machine learning approaches using GPGPU based predictive modeling, code conversion & optimization, general-purpose computations on graphical processors & java technologies as well as R, C/C++, java, verilog, python, bash (linux shell), visual basic, perl, and tcl.

Background in economics & finance from Kemmy business school at University of Limerick. Anna has worked in the Life Science, Food & Banking industries, & brings over 10 years expertise in  project management ,  operations & finance to the team.  She has previously founded a company in the food industry, after working in RBS global markets in the US. Anna has also won a management award while at Aramark.

Michael has a PhD in analytical chemistry & is a  lecturer in biostatistics. He has a background in cheminformatics and data science with 10 years of experience in developing machine learning, pattern recognition and biomarker discovery. His specialist interest is in  developing tools to interrogate metabolomics datasets leading to the non-invasive diagnosis of cancers and diseases.  Michael is skilled in statistical programming using R & Matlab.

Background in digital marketing with a proven track record in digital design, search engine optimisation, social media & automated marketing. Colum also has graphic design  & animation experience for generating online media content. He is currently interested in developing skills in print design, including infographics & posters. He has several certifications in design, digital marketing & animation.

Niranjan has a background in molecular biology & applied bioinformatics. He has expertise in handling NGS HiSeq data, quality control and filtering of NGS data: de novo or reference based using assemblers,   reference based genome alignment, detection of genomic variation, RNA-seq  differential expression analysis, and identification of sequence binding motifs using ChIP-seq.

We are actively looking for front or backend programmers, data scientists and

bioinformaticians to join our team, get in touch to arrange an informal interview

Join our Team


Investment Support & Program Finalists


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