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In the process of transforming data into knowledge, our AI assist you.

In Bioinformatics, Artificial Intelligence plays a significant role. Through machine-learning, we discover unknown matters. Recently, persistent technological advancements of big data and deep-learning elevate the possibility.

Do you have concerns within the flood of complex data such as documents, videos, network, including multi-omics? Or do you feel lost finding the right statistical patterns of your data? With Insilicogen’s own AI technology, unveil hidden meanings and values of data to acquire profound knowledge. We deal with character data, sequential data, video imaging, and unstructured big-data in order to discover hidden knowledge and support integrated understanding by implementing techniques such as structuring, interconnecting, machine-learning, feature selection, and extraction.

  • Artificial Intelligence (AI)

Semantic Modeling

Through semantic modeling,
we integrate
the clients' complex data
and open sources
for continuous data
accumulation and creation,
and find insight.

Machine Learning

Analysis of data structure
and reduction of dimension

Data refinement,
transformation and

Feature selection and

An optimized
machine-learning model
Development and

Deep Learning

Extract feature map
using DNN and
create a deep-learning model
by applying architecture

Biological data
related text sequence,
Images, Videos, natural language
processing for predictable categorization
and assessing accuracy

Tailored Knowledge

Visualize web-based analysis results

Provide data result of real-time dynamic programming,
which is available online

Web application and mobile app development

Development of artificial intelligence
and analysis algorithms at mobile edge

  • Representative Case

  • Research project
    • [Korea Institute for Animal Products Quality Evaluation] Establishment of a mechanized quality evaluation system for Korean beef based on artificial intelligence
    • [D.iF] Food object detection and classification by deep learning
    • [National Research Institute of Cultural Heritage] Establishment of machine learning model to predict termite damage of wooden cultural heritage
    • [Korea Institute for Animal Products Quality Evaluation] Beef quality estimation by image analysis(Deep Learning) and machine learning
    • [National Institute of Animal Science] Maker selection for degenerative disease by machine learning
    • [National Institute of Fisheries Science] Development of machine learning model for prediction of high temperature tolerance for abalone
    • [Ministry of Environment] Construction of environmentally hazardous material-genomics knowledge-based and Development of semantics-based technology
    • [Ministry of Environment] Excavation of indicators for heavy metal toxicology using toxicogenomics
    • [Food Industry Technology Support Center] Coordination analysis among health function, culture, excellence geographic location of korean food and korean food ingredient
    • [Korea Food Research Institute] Traditional food semantics database construction and analysis program
    • [Korea Food Research Institute] Construction of semantics database and korean food specialized ontology
    • [Pusan National University] Construction of anti-aging molecular network of aging Database
    • [Korea Food Research Institute] Development of INSILICO Food pilot system through the integrated analysis of food information
    • [KwangDong] Development of iF DB based dry complex system DB and h-pilot system
    Patent and Program Registration
    • [Patent Registration 10-2118103] Method for measuring the fineness of marbling using ribeye image of Korean beef
    • [Patent Registration 10-2067076] Biomarker composition for prediction or diagnosis of canine patellar lunation
    • [Patent Application 10-2019-0023081] Biomarker composition for diagnosing lung cancer comprising peptide nucleic acid
    • [Patent Application 10-2019-0025109] High sensitive genetic variation detection and reporting system based on barcode sequence
    • [Patent Application 10-2019-0155754] Biomarker composition for prediction or diagnosis of canine degenerative Diseases
    • [Patent Registration 10-1107582] Web-based ontology editing operation system
    • [Program Registration 2011-01-121-005389] Smart-TGM heavy metals toxicity-index excavating tools
    • [Program Registration 2011-01-129-001569] WeightViz by weight visualization tool
    • [Program Registration C-2014-030421] Personal genomics-based obesity risk computing program
    • [PCT Application pct110125] Web-based ontology editing operation system
    • [Patent Application 10-2014-0163505] Customized personal traits dietary ingredients for information character-chemical agent network system and providing methods
    • [Patent Application 10-2014-0170397] Personal genomics-based obesity risk analysis system and method
    • [Patent Application 10-2015-0156844] Customized food information recommendation system considering personal genotype and phenotype information
  • Publications
    • Semantic Data Integration for Toxicogenomic Laboratory Experiment Management Systems. Toxicology and Environmental Health Sciences, 2011
    • Semantic Data Integration to Biological Relationship among Chemicals, Diseases, and Differential Expressed Genes. Biochip Journal, 2011
  • Concept of Semantics and AI