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AI & Big Data-powered

Insights & Predictions for Life Science


Fully integrated search & data analytics platform for structured & annotated life science information from literature, images, ontologies & experimental data repositories


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Life Science Data Platform for In Silico Insights & Novel Discoveries




    • AI-assisted recommendations for literature, Images, research tools & experimental datasets
    • Hypothesis generation with 3D landscape network visualization
    • Semantic search inside  1 billion structured life science data points
    • 50+ integrated ontologies with automated thesauri & menu filtering
    • 250+ selected life science data repositories
    • AI-assisted compound image structure activity relationships (SAR)
    • Machine learning-powered experimental image matching tool
    • AI-assisted optimal assay protocol matching tool




  • Custom integration of external software & workflows
  • Secure private cloud for cross-team experimental data discussion & internal project collaboration
  • Integration into existing LIMS, Procurement & Communication Tools
  • Access the full text corpi of subscribed life science publications & Integrate additional databases & ontologies




Over 250 Structured Data Repositories including:


GEMMA, HUGO, Ensembl, Pub Med Central, NCBI,, Drugbank, WormBase, Panther, Coriell Cell, Gene Network, GENSAT, KEGG, FDA, MGI, NeuroMorph, ZFIN, BioNOT, Antibody Registry, AddGene, BioGRID, BrainSpan, Chebi, Clinvar, CTD, FlyBase, GO, GEO, Monarch, HPO, and many more...





  • Enquire for more information


  • Integrated Browser & Visualisation Tool

Browser Download

 RESTful API Access

Custom Projects: Data Analytics & Artificial Intelligence


    • Prediction of compound combination therapies
    • Recognition & mapping of compound structures & Structure Activity Relationships (SAR) from patents & experimental data
    • Machine learning models of in vivo experimental data
    • Machine learning models for Biomarker metabolite discovery
    • Identification of novel targets using machine learning models
    • Drug pipeline & clinical data analysis tools for R&D trends
    • Electronic Health Record (EHR) conversion & intelligent browsing
    • Drug labeling analysis & trends tools
    • Disease-specific medical knowledge platforms for GPs & Pharmacists
    • Wearable sensor data analytics


Deep Learning Workflow for Novel Predictions

Niche Technology Hubs

Omics Hub is a smart browser with Automated Thesauri & Semantic Search optimised for Omics vocabularies & ontologies. Browse the latest papers, figures, methods, products & services, as well as experimental datasets & analysis tools.

Go to Hub

CrispR Hub is a smart browser with Automated Thesauri & Semantic Search optimised for Gene Editing related information from abstracts, figures, methods, plasmids, kits, services. as well as design and analysis tools.

Go to Hub

Cell Hub is a smart browser with Automated Thesauri & Semantic Search optimized for Cell Lines. Find which cell lines are available to purchase or obtain from a collaborator. Search cell lines & methods from matched full text research papers & figure images. Find tools to analyse your cell line, and contract research service providers.

Go to Hub

In Vivo Hub is a smart browser with an Automated Thesauri & Semantic Search optimized for Rodent, Fly, Worm & Fish. Browse the latest papers, figures, methods, products & services, as well as experimental datasets & analysis tools. Discover the best in vivo models for your next experiment. Analyse your current model, and find correlations within the published literature & databases.

Go to Hub

Antibody Hub is a smart browser with Automated Thesauri & Semantic Search optimized for Antibodies. Browse the latest papers, figure images, methods, products & services, as well as experimental datasets & analysis tools.We have extracted Antibody protocol conditions Methods & Antibody Registry Data, as well as displaying figure images of Antibodies from experimental results. Our marketplace contains 2 million Antibodies ranked by literature citations.

Go to Hub

Imaging Hub is a smart browser with Automated Thesauri & Semantic Search optimized for Imaging terms from the latest papers, figures, methods, products & services, as well as experimental datasets & analysis tools.

Go to Hub

Semantic Search & Visualization of Niche Technologies from Literature, Images, Experimental Datasets, Materials & Methods



  • Natural Language Processing
  • Image Processing & Classification
  • Machine Learning
  • Deep Neural Networks
  • Ontologies
  • Vocabularies
  • Bio & Cheminformatics
  • Text & Data Mining

Custom Project Workflow

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Meet The Team







CEO & Co-founder

CTO & Co-founder

COO & Co-founder

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 gene editing technology applications, 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 tools to interrogate metabolomics datasets leading to the non-invasive diagnosis of cancers and diseases.

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 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 interns with experience in data science or bioinformatics to join our team, click the button below to apply with your CV

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