In the past, Artificial Intelligence was purely R&D. In the past few years, this technology is now present in almost every industrybringing benefits to the businesses that decided to accept it.​ 

We help companies leverage AI to increase revenue

  • By learning relationships from both structured and unstructured data, we help organizations to improve operational efficiency, enhance sales opportunities, and accelerate potential in competitive industries.​
  • By using predictive analytics techniques and developing AI strategies, with data-driven decisions, we transform organizations into strong future-oriented companies.​
  • We provide data scientists and visionaries who bring viewpoints from multiple disciplines, including neuroscience, physics, engineering, computational biology, genomics, and computer science.​
  • ​Our team helps solve challenges in some of the world’s major sectors, including healthcare, retail, finance, and agriculture. ​

Our approach​

Our AI capabilities

We have experience designing, implementing, and automating learning and decision processes.

Data Structures​

  • Heuristic/Implicit Models​
  • Explicit Models​
  • Knowledge Graphs

Data Processing

  • Behavioral Analysis​
  • Probabilistic Attribution​
  • Collaborative Filtering​
  • Time-series Prediction​
  • Named Entity Extraction​
  • Semantic Role Labeling​
  • Inference Engine

Decision Automation​

  • Markov Decision Processes​
  • Finite State Automation​
  • Rule-based Triggers


  • Data Dashboards​
  • Data Simulation​
  • Search​
  • N-dimensional Reports

Our technology platforms​ 

Machine Learning

Our team has expertise in time series forecasting, computer vision, and other statistical machine learning methods, including deep learning. We engineer custom pipelines for feature extraction and modeling across a wide variety of data types (customer, device/sensor, images, etc.).

Natural Language Processing (NLP)

We use state-of-the-art methods to extract domain-specific entities and learn semantic relationships from unstructured text data (scientific literature, patents, product claims, etc.).

Audio and Video Analytics

We engineer audio-video analytics pipelines that quantify human behavior and extract features and digital biomarkers to provide clinical decision support, with applications extending across multiple verticals.


We are domain experts in computational biology with technical expertise in biomarker discovery, genomics / GWAS, mechanism of action (MOA), multi-omics, pathway studies, and proteomics.

AI Success Stories


Accelerate COVID-19 research with AI-driven insights


Natural language processing (NLP) to extract relationships and themes from the evolving COVID-19 scientific literature
The global scientific community has risen to confront COVID-19: there are over 200,000 research publications related to coronavirus, with more than 4,000 added every week. Scientists drawing knowledge and insight from this ever-expanding literature face difficult challenges: tracking synonymous terms for genes and drugs across fields, connecting biological relationships among entities across articles, and distilling the essential information out of large sets of literature.


We partnered with Mercury Data Science to build an open-access NLP-based application using the CORD-19 dataset, the most extensive machine-readable coronavirus literature collection available for text mining. This includes domain-specific dictionaries for scientific entities including human genes and molecular pathways, viral genes and mutations, drugs and treatments, symptoms, diseases, and keywords. The application provides multiple views on relationships among entities, and the AI Summary feature identifies and summarizes the key themes in large document sets. Access the app here:

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