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Smart contract system for searching unpublished data and making transactions. Real-time valuation of unpublished data through AI.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.
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.
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.
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 intent of user queries.
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.
Modelling 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.
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.
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.
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.
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.
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.
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.
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.
Enterprise data centralization enabled by Innoplexus’s technologies and data security with proprietary TruAgentTM.
Reinforcement learning and machine learning to predict user aspirations and make intuitive interfaces
Deep learning–based text analytics, computer vision to extract, aggregate, and interpret information accelerated by NVIDIA GPUs
Natural language processing and context-dependent information retrieval to enable a self-learning ontology, maintained in graph databases
Machine learning techniques, such as reinforcement learning, to recognize and crawl selective data of interest continuously; storage supported by Cloudera data platform
World’s first dedicated application store for life sciences
Applications leveraging deep learning for drug discovery, clinical trial comparison, regulatory insights, and information discovery and retrieval
World’s most comprehensive, first–of–its–kind life sciences language processing engine
Unique deep sentiment analysis engine for biomedical
World’s largest, most comprehensive, connected, and automated ontology for life sciences
World’s first blockchain–powered ontology for life sciences
World’s largest data repository for life sciences – petabytes scale
World’s largest search engine for life sciences and domain–specific topical crawling engine leveraging AI for information extraction
Reinforcement learning & machine learning to recognize and crawl selective data of interest continuously, storage supported by HortonWorks Data Platform
World’s largest data repository for life sciences – petabytes scale
World’s largest search engine for life sciences & domain specific topical crawling engine leveraging AI for information extraction
Natural language processing & context-dependent information retrieval to enable self-learning Ontology, maintained in graph databases
World’s largest, most comprehensive, connected and automated ontology for life sciences and financial services.
World’s first blockchain powered ontology for life sciences
Deep learning-based text analytics, computer vision to extract aggregate & interpret information, accelerated by NVIDIA GPUs
World’s most comprehensive, first of its kind life science, financial services language processing engine
Unique deep sentiment analysis engine for bio-medical
Reinforcement learning & machine learning to predict user aspirations and make intuitive interface
World’s first dedicated application store for life sciences
Applications leveraging deep learning for drug discovery, clinical trial comparison, regulatory insights, information discovery and retrieval