Experience more Aha! Moments

 

Innoplexus harnesses proprietary Artificial Intelligence and Machine Learning to provide deeper and real-time insights into the Life Sciences data universe. We use natural language processing and computer vision to understand data, make connections, and accelerate drug development from drug discovery to commercialization.

Our Data Ocean includes 97% of the Publicly Available Life Sciences Data

We crawl upto 97%, structured and unstructured, publicly available data from various sources to enable data enrichment and real-time continuous analytics using our life sciences ontology. We aggregate, analyze and visualize this big data ocean using AI technologies.

35M+

Publications

2.3M+

Grants

1.1M+

Patents

833K+

Congress ppts

681K+

Theses & Dissertations

500K+

Clinical Trials

73K+

Drug Profiles

40K+

Gene Profiles

We help you integrate enterprise data, maintaining high security standards, into a custom life-sciences data ocean. The Data stored through IPSec tunnel and even the backup is encrypted. The entire source code is maintained on private Git.

Structured

Unstructured

Multiple Sites

Different Platforms

Innoplexus can enter into third-party agreements with data providers to centralize data assets already available at an enterprise level for enabling organizations to generate useful insights and increase the efficiency of major business decisions.

Market Data

Trial Data

Databases

APIs

Use-case specific, real-time analytics

Pipeline Prioritization

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Drug Repurposing

Trending Topics

Data as a Service

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Sentiment Analytics

KOL Identification & Scoring

Site Optimization & Enrollment

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Therapeutic Area Landscape Dashboarding

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Endotype Response & Personalized Medicine

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CONTINUOUSLY-UPDATING PIPELINE PRIORITIZATION PLATFORM

  • Biological Validation: Identifying and validating potential uses of target, pathway, disease and drug candidates
  • Clinical Trial Valuation: Estimating costs of clinical trials and likelihood of success
  • Commercial Evaluation: Monitoring competitors and determining commercial opportunity

OPTIMIZING CLINICAL TRIAL DESIGN & SITE ENROLLMENT

  • Assessing all past and ongoing clinical trials and drugs’ regulatory approval
  • Identifying and prioritizing clinical trial sites based on a multitude of parameters
  • Identifying top or emerging Key Opinion Leaders for clinical trial involvement

COMMERCIAL & BUSINESS INTELLIGENCE DASHBOARD

  • Centralizing clinical, medical, commercial, and regulatory information in a single dashboard
  • Monitoring competitor activities and benchmarking performance against theirs
  • Providing real-time regulatory insights and changes in clinical guidelines

DETERMINING ENDOTYPE RESPONSE & STRATIFYING PATIENTS

  • Optimizing clinical trial patient selection by stratificating patients based on predicted levels of response to therapy
  • Connecting endotype responses to published literature and clinical trial data
  • Continually integrating new data streams to update endotype response predictions

DaaS APIs TO POWER ENTERPRISE ARTIFICIAL INTELLIGENCE

  • Finding most recent literature from congresses, presentation, clinical trials etc. based on indication and top pathways & targets being studied
  • Identifying competing drugs and drugs’ details such as pathway, targets, sponsors etc.
  • Finding top investigators, ideal sites, and optimal design parameters for clinical trials

Generate better insights with cutting-edge technologies

Blockchain

Blockchain

We help in unlocking data silos and unpublished data in a secure way

computer-vision

Computer Vision

We extract relevant life sciences information from PDFs and other documents

entity-normalization

Entity Normalisation

We reduce error percentage of missing entities resulting from wrong spellings and synonyms

machine-learning

Machine Learning & AI

We achieve integration with enterprise data and enrichment with public data using AI & ML

ontologies

Ontologies

Our self-learning life sciences ontology is build using 20 million biomedical terms

network-analysis

Network Analysis

We help to discover unknown biological connections, and visualize them through interactive graphs

Our proprietary CAAVTM framework enables you to generate insights in real time

Innoplexus platform architecture utilizes a proprietary CAAV framework to deploy machine learning to Crawl, Aggregate, Analyze, and Visualize life science big data to enrich and expedite decision-making in the pharmaceutical and life science industries.

Crawl

Crawl: Collecting structured and unstructured data

Our proprietary machine learning enabled universal crawler trawls the entirety of the life science public domain, extracting and integrating new data into our biomedical ontology and data ocean in real time.

Aggregate

Aggregate: Making data ready for analysis

Encrypted integration with enterprise data and semi-structuring 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.

Analyse

Analyse: 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

Visualize

Visualize: Presenting the results in an intuitive interface

With interactive visualizations across web and mobile, we enable discovery of hidden trends easier and more productive way. This helps organizations to generate insights that drive important business decisions

Build your AI-powered solution now

Experience the power of Artificial Intelligence and Continuous Analytics as a Service through our platforms. Book a free online consultation today and start developing your custom solution.

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