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Our Data Ocean covers 95% of the world-wide web
We cover 95% of world-wide web allowing our clients to access structured and unstructured, publicly available data from various sources to enable data enrichment and real-time continuous analytics using our life sciences ontology.
48M+
Publications
5M+
Grants
28.8M+
Patents
3.8M+
Congress Presentations
1.4M+
Theses & Dissertations
706K+
Clinical Trials
4.2M+
Chemicals & Drugs
29.8M+
Genes
Use-case specific, real-time analytics
Pipeline Prioritization
Drug Repurposing
Lead Identification
Data as a Service
Sentiment Analytics
KOL Discovery & Management
Site Optimization & Enrollment
Therapeutic Area Landscape Dashboarding
Target Identification
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
Identify trial sites & patient enrollment across various parameters
- Evaluating trial sites based on a client-specific filter system
- Identifying & segmenting KOLs across asset classes and involvement
- Integrating third-party and enterprise data to gain unique insights
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
Accelerating target identification for drug design
- Identifying optimal targets based on efficacy, safety, clinical and commercial requirements
- Narrowing target selection by using in-silico validation
- Validating targets based on data of scientific literature
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
IDENTIFYING OPPORTUNITIES FOR DRUG DEVELOPMENT
- Identifying new opportunities for assets languishing on-the-shelf or approved drugs
- Gaining insights into pathways that can be targeted with already developed mechanisms of action
Accelerate & validate lead identification for drug design
- Identifying efficacious drug candidates with real-world evidence and chemical descriptors
- Reducing the cost and time of the demanding lead identification process
- Providing access to the largest chemical library for QSAR
UNDERSTANDING PATIENT SENTIMENT IN REAL-TIME
- Comparing share of voice against competitors across multiple dimensions
- Analyzing trend momentum of social sentiments, positive, and negative sentiments share
- Gaining insights from social and clinical media around Therapeutic Area (TA), indications, and different drugs
IDENTIFYING KEY OPINION LEADERS FOR ENGAGEMENT
- Identifying top & emerging KOLs by archetypes- thought leader, scientific, speaker, commercial
- Discovering the right set of Investigators for your planned clinical trial
- Getting comprehensive view into highly influential KOLs, their activities, and associations
Generate better Insights with Cutting-edge Technologies
Blockchain
We help in unlocking data silos and unpublished data in a secure way
Computer Vision
We extract relevant life sciences information from PDFs and other documents
Entity Normalization
We reduce error percentage of missing entities resulting from wrong spellings and synonyms
Machine Learning & AI
We achieve integration with enterprise data and enrichment with public data using AI & ML
Ontology
Our self-learning life sciences ontology is built using over 31 million biomedical terms
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
Technology Partners
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What our clients say
Testimonial by Global Medical Advisor Oncology @ Boehringer Ingelheim
Project-Title: Indication Prioritization using Artificial Intelligence (AI) and Machine Learning (ML).
“As Global Medical Advisor Oncology @ Boehringer Ingelheim – I have been assigned to lead a new project: “Indication Prioritization using Artificial Intelligence and Machine Learning”. The need for innovative technologies to accelerate pharmaceutical research and development has never been greater and Boehringer Ingelheim continues exploring technology approaches to complement our own expertise in research, development and translational medicine.
Innoplexus and its proprietary Knowledge Graph called Ontosight were seen as the right partner to look for solutions for the current project.
As expected, the Innoplexus’ Indication Prioritization approach with AI & ML was able to screen a far larger number of scientific publications, exclude potential “noise“ in a much shorter period versus traditional approach, delivering as well an unbiased and reliable result-set to support prioritize indications for a selected target.
We compared the results Innoplexus provided to our own traditional analysis and confirmed a substantial overlap in the results. It was indeed quite impressive to see that a machine-generated indication list matched well with our understanding. The advantage was to also have the result set ranked based on biological relevance, market potential as well as clinical feasibility, which is a limitation with our own analysis and the expert recommendations.
We also saw some positive surprises in Innoplexus' results. For example, some new tumor types were highlighted, and this is where innovation was generated, I would say.
Being highly satisfied with this new approach of drug discovery, I have recommended Innoplexus to my colleagues in other teams responsible for other assets at Boehringer Ingelheim.”
"Great technology and data"
Having sufficient data and analytical capability is critical to being able to identify potential baseline biomarkers. In working with Innoplexus our expectation was to leverage its technology to pool all of the publicly available patient level data that might help us in delivering on this objective. The Innoplexus team was very fast to develop its strategy to address our request.
"Real Partnership"
Data analytics is becoming a core competency for Pharma. We do not want to outsource this anymore! I love the fact that you are focused on empowering our analytics teams with your solutions. This is a clear differentiation versus all the competitors. You seem to be working on a true partnership model.
‘’Efficiency and quality’’
Innoplexus using their AI technology delivered what we required on time with great quality. The resilience and expertise made us choose Innoplexus again
"Problem solvers."
“Meet the finish line” effort of Innoplexus helped us make our decision easier for choosing a problem solver. We look forward to working with them more and more.