Blockchain
Smart contract system for searching unpublished data and making transactions. Real-time valuation of unpublished data through AI. TruAgent™ enables integration of confidential data in a secured way. Our Blockchain as a Service offering creates ecosystems for companies to securely exchange data as partners. It can also create a marketplace for data exchanges.
Computer Vision
Leverages image processing to classify and extract relevant info from PDF and image files. Enhanced OCR to handle ambiguous and special characters with higher precision. Understands page layout and structure in the same way as humans do.
Entity Normalization
Resolving entities from disparate sources covering name variations and degeneration. Increasing the precision to discover entities even with sparse metadata. Leveraging crawled data to improve normalization.
Machine Learning & AI
Tapping the wealth of unstructured data from internal and external sources. Understanding domain-specific contextual information
(e.g., our life sciences language processing™ engine). Building reasoning system to serve the intent of user queries.
Ontology – Life-Science-Language-Processing
Mapping all discoverable concepts from content of all major data sources in the base ontology. Connecting observations from curated sources and literature. Self-learning unseen concepts validated by random checks.
Innoplexus’s Ontology as a Service (OaaS) API gives users access to the world’s largest self-learning life sciences–specific ontology, comprising 31M+ biomedical concepts and terms.
Network Analysis
Modeling and persisting (storing) the entire data set as a network in a graph database. Multigraph with networks from different asset
classes as layers. Large scale network analysis to find key insights in real time.
Enterprise Data Centralization & Analytics
Enterprise data centralization enabled by Innoplexus’s technologies and data security with proprietary TruAgentTM.
CAAV™: Our proprietary framework
It enables the user to generate insights in real time.Innoplexus’s platform architecture utilizes the CAAV framework, which deploys machine learning to crawl, aggregate, analyze, and visualize life sciences big data thereby enriching and expediting decision- making in the pharmaceutical and life sciences industries.
Crawling Data
Collecting structured and unstructured data Our proprietary machine learning- enabled universal crawler crawls the entirety of the life sciences public domain,extracts the relevant data, and integrates any new data into our biomedical ontology and data ocean in real time.
Aggregate
Making data ready for analysis Encrypted integration with enterprise data and semistructuring of aggregated data is achieved using AI technologies. Computer vision, image recognition, and deep–learning techniques help in extracting useful information from PDFs and
other documents.
Analyze
Generating insights and reports We use powerful machine learning–based data analytics to remove text ambiguity and interpret relationships between concepts. Our ontology maps these related concepts and our advanced network analytics enable network visualization and concept-based searches to deliver the most relevant information for the concept of interest.
Aggregate
Presenting the results in an intuitive interface. With interactive visualizations across web and mobile platforms, we make discovery of hidden trends easier and more productive. This helps organizations to generate insights that drive important business decisions.
Visualize
Presenting the results in an intuitive interface. With interactive visualizations across web and mobile platforms, we make discovery of hidden trends easier and more productive. This helps organizations to generate insights that drive important business decisions.
