We help pharma, biotech, pharmacovigilance and CROs & CMOs to stay forefront of innovations and gain competitive edge with:
Digital enabled lab work
Data powered research and trials
Intelligent manufacturing and supply chain & logistics
Fully automated operations
Large Volume AI Analysis
The first and biggest step for life sciences organizations towards AI is AI-preparation with volume data. Improving quality, standardization, consistency of data and reduced latency to access becomes critical.
Big Data Analysis During Drug Development
Big Data opens a new door for life sciences organizations to analyze data on a larger scale. Data generated during drug development derive diagnostic, descriptive, predictive and perspective analytics.
Real-world Evidence with Real-world Data
Real-world data helps life sciences organizations support their clinical trial designs and research studies to accelerate clinical trials. Real-world evidence aids in data-driven regulatory decision making.
Innovative Supply Chain Management
Innovative supply chain transformed with big data, cloud, IoT, intelligent automation and IT modernization help life sciences companies with faster production to distribution.
Who we serve
At Veltris, we help Biotechnology, Pharmaceuticals, Pharmacovigilance and Contract Research & Contract Manufacturing organizations to overcome their challenges for innovation, growth and revenue. We help in enterprise transformations with cutting-edge technology including digital, data, analytics, artificial intelligence, automation, etc.
Helping Pharma Industry and Organizations to Advance in the Tech Revolution with Digitized Drug Manufacturing Efficiencies
We serve the following segments of Pharmaceuticals:
Drug Manufacturing – Generic Drugs, Complex Generic Drugs, Patented Drugs, etc.
Specialty Drug Manufacturing – Auto-immune, Anti-Cancer, Cardiovascular drugs, etc.
Active Pharma Ingredients (APIs) and Drug Intermediaries
Drug Marketing and Drug Commercialization organizations
Helping BioTechnology Organizations Reimagine Clinical Research, Drug Discovery & Development and Clinical Data Analysis with Technolgy-Powered Innovations
We serve the following segments of BioTechnology:
Biotechnology – Therapeutics and Diagnostics
Biotechnology – R&D
Biopharmaceuticals and Biomedicine
Helping Pharmacovigilance Organizations to Turn to Data and AI-Driven Intelligent Automation for Safety reporting, Adverse Reactions vs Adverse Events, and clinical drug safety, etc.
We serve the following segments of Pharmacovigilance:
Medical Information and Drug Safety
Clinical and Pre-Clinical Drug Safety
Commercial and Post-Marketing Drug Safety
Regulatory and Pharmacovigilance
Medical Device Reporting
Contract Research and Contract Manufacturing Organizations (CRO & CMO)
Helping CROs and CMOs to Integrate Digital Technologies to Improve their Research and Manufacturing Efficiencies, and Strategic Decision-Making Capabilities
We serve the following segments of CRO and CMO:
Contract Manufacturing – Process Development, Fill & Finish Operations, Analytical & QC Studies and Packaging
Contract Research – Oncology, Inflammation & Immunology, Cardiology, Neuroscience, etc.
Biologics Contract Manufacturing
Biosimilars Contract Manufacturing
What we serve
We offer a comprehensive design expertise to help Life Sciences to build innovative products:
Next-gen Clinical trial solutions design
Multi-disciplinary approach to life sciences product design
Value design engineering across biotechnology, biopharma, optronics, etc.
Full-fledge prototypes before production
We help Life Sciences organizations to embed design thinking into their various software:
Evidence based UI/UX designs
Clinical & laboratories operations data visualization designs
Intuitive content experiences with research scientists as users first approach
We help the whole value chain of Life Science in developing systems with having greater agility and interoperability:
Clinical trial management and clinical data analysis systems
Laboratory information management systems (LIMS)
Scientific data management systems (SDMS)
Drug safety information management systems
Workflow management systems
Digital quality management systems (DQMS)
We help life sciences organizations in pioneering new discoveries with power of cloud:
Data collection through cloud for easy regulatory clearance
Centralized document management for streamline research
Enterprise level collaboration and use of advanced instruments
Seamless data integration from regulators, distributors, etc.
Cloud-based, digitized supply chain management
With next-gen tech stack, we help life sciences organizations deliver lifesaving products faster to the market.
Integrate between LIMS, SDMS, DQMS, and other systems.
Faster FDA submissions
Fully compliant systems with date integrity
Real-time quality insights within life sciences workflows
Well-serving APIs for integration within and outside of enterprise
We help in engineering data from molecule to market within life sciences lifecycle and across integrated segments.
Data-driven R&D transformation
Robust data ingestion process throughout life sciences value chain
Data lake for drug discovery, clinical trial design, drug manufacturing and drug safety
Effective data management and data governance for regulatory compliance
Cloud-based data warehousing to support robust drug commercialization and drug distribution
We help Life Sciences organizations analyze massive amounts of data from drug components, genes, proteins, etc.
Clinical trial results analysis and comparing with historical genomics data
Genomics Sequencing Analysis
Pharmaceutical Trial Analysis
Disease Risk Analysis
Drug Safety Analysis
Business research analysis for business development
We help life sciences organizations accelerate drug discovery and drug development.
Model training to identify optimal features for medical diagnosis in clinic trials
Cutting-edge predictive models to support precision medicine studies
Models to help cross reference research on cancer drugs
Predictive algorithms to estimate side effects in post-trial
Estimate Bio and Pharma logistics for effective supply chain
We enable life sciences companies to access business intelligence and data visualization of pre-clinical, clinical and post-clinical research.
Faster and more informed clinical decisions
Benchmark drug safety measures
Segmentation and trend analysis of physicians, patients and drug sales
Insights to streamline product’s regulatory approval and accelerate clinical development
Insights to reduce operation costs including R&D expenses
We help in leveraging machine learning for accelerated and improved R&D, drug development, clinical trials and supply chain.
Clinical trial recruitment – identify ideal candidates for clinical trials
Predictive modelling for drug toxicity
Machine Learning based trial design and drug development. Example: ADC (antibody-drug conjugates) biomaker signatures.
Predicting pharmacological properties of drugs and drug repurposing
Manufacturing optimization – production efficiency, statistical analysis, risk assessment and quality management
We help in leveraging deep learning that encompasses deep neural networks to achieve breakthroughs in life sciences.
Large scale analysis of genes and drugs data to identify key gene for drug resistance and ADC drug payloads.
Analyzing biological big data with multi-layer machine learning aglorithms
Disease identification, disease tracking and precision modeling of patients
Comparative drug safety analysis in Pharmacovigilance
Informed clinical decision making with regulatory actions for compliance
We help in harnessing the power of NLP to extract findings from life sciences research documents and other text data.
Life sciences and pharma knowledge graphs
Adverse drug event (ADE) detection and reporting
Studying Adverse drug reactions (ADRs)
Explore drug labelling data for regulatory and safety affairs
Extract findings from drug and clinical research documents
Social listening to aid drug safety research
NLP text mining to build models to identify novel drug targets, drug compounds and competitor analysis.
We help in leveraging computer vision algorithms to automate image and video analysis to improve end-to-end drug lifecycle.
Smart drug manufacturing with automated AI-powered inspections
Predictive maintenance of equipment in laboratories, factories, etc.
Smart life sciences and pharma supply chain monitoring
Identify small changes in cells during cancer drug research
Molecular modeling to reshape the drug development pipeline
Computer vision powered drug design helps in regulatory compliance assistance for new molecules
We help in deploying AI-powered assistants trained in life sciences and pharma to aid researchers, regulatory team and management in day-to-day activities.
Identifying relationships between entities in biotechnology, pharma and pharmacovigilance data
Collecting the latest news on drug trials, drug approvals, etc.
Accelerate pre-clinical report analysis
Analyze safety signals in pharmacovigilance
Customized AI-powered assistants for specific roles such as regulatory review, comparative analysis, conflict analysis, etc.
We help in adopting intelligent automation to leverage flexibility and speed in lab work, research, and drug development.
Automated ADE detection with pre-trained NLP models and pipelines
Automated regulator operations and corporate operations
Automated clinical trial management from data entry to trial reports generation
Automated inventory management from shipment tracking to notifying drug expiry
We help in leveraging real-time data generated by IoT for drug discovery, manufacturing and commercialization.
Real-time monitoring manufacturing quality and equipment for streamlined performance
Forecast demand for supply chain continuity
Better supply chain management using smart sensors for warehousing and routing of drugs
Real-time data insights on drug effectiveness, drug safety and regulatory compliance
We help in adopting blockchain streamline and optimize digitized critical life sciences business operations on a decentralized network.
End-to-end drug traceability prevents drug counterfeit
Fraud prevention in clinical trials
Robust IP protection with research data uploaded onto blockchain
Preventing drug shortages with untampered records for supply chain monitoring. Especially, cold chain monitoring in biopharma.
Reverse logistics for expired drug disposal
5G networks for faster and accurate clinical trials data transfer for decentralized clinical trials.
5G will boost Internet of Medical Things (IoMT)
5G reduces the times to process lab results from laboratories
Edge computing reduces latency and cost on data management, increases up-time, enhances data privacy across functions in life sciences.