average SG&A cost as a percentage of sales

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25-30%

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average R&D cost as a percentage of sales

15-20%

average time from patent filing to market launch

12 Years

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Let’s partner for #FutureReadyHealthcare

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Scale up outcomes in a non-linear way with fit-for-purpose technology

NEXT Technology Platforms

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Why brands need integrated patient insights

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Martech for Life Sciences – Practical insights from leaders

Indegene joins The Metaverse Standards Forum

5 commercial AI use cases for lifesciences

Architecting a scalable MLOps framework in healthcare

Omnichannel strategy in Medical Affairs

Advanced data solutions for superior CX

Data governance: A key priority for life sciences

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Insights to build #FutureReadyHealthcare

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data samples with a high variety and limited medical tagging

Sparse

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content that limits meaningful insights to drive business outcomes

Unstructured

platforms that do not integrate and deter enterprise-wide adoption

Siloed

Life sciences companies have unique technology challenges

From life sciences-specific solutions to best-of-breed technology platforms, we partner with leading organizations to integrate and contextualize modern technology to make innovative healthcare more accessible and affordable.

We partner with the best

Check out who we partner with

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Our technology classifies content and applies medical taxonomy based on therapies, audience and channel nuances to accelerate deployment and enable adoption

Drive adoption with medical-contextualized technology

We leverage natural language processing and generation and machine vision platforms with proprietary machine learning classifiers to improve confidence levels to automate narratives

Convert content into computable data

We integrate commonly-used life sciences enterprise platforms and applications to reduce implementation friction and align with your IT strategy

Maximize the impact of enterprise applications

Fit-for-purpose technology empowers and enables teams

Eyecare company engages over 60% of its target audience

Indegene helps streamline digital assets

Global pharma centralizes medical affairs operations

Life sciences leaders trust us

We trained some of the best-in-class NLP, ML classifiers and machine vision platforms to automate the process of life sciences content modularization, metadata generation, content comparison, mapping document lineage and new content creation. The different components of our platforms find applications in automated medical review and approval of documents, measurement of content effectiveness and analytics, agile reuse and repurpose of regulatory, medical, educational and promotional content, and rapid creation of new content. Our platforms deliver to high levels of quality requiring humans to only supervise machine performance thereby enabling us to process large volumes of content faster and with lower headcount.

Content Management

By automating the conversion of unstructured data and information to structured data, we successfully disrupted the extremely headcount-intensive process of pharmacovigilance as it relates to adverse event case intake and processing and its conversion into structured fields for a safety database.

Safety

This suite of platforms consists of components for the automatic monitoring and consumption of guidelines published by regulatory agencies in major markets such as the US FDA and EMA, and another for optimizing resource allocation to prioritize the timelines of submission of regulatory documents in different markets and hence maximize the business potential of new launches.

Regulatory Intelligence and Planning

At the heart of omnichannel customer excellence and personalization of HCP and patient experiences lies the ability to ingest, organize and analyze diverse sets of data. We built a fit-for-purpose ecosystem to enable nimble and flexible data integration from internal and external sources such as CRM data, sales and marketing data, channel data, prescription data, real-world data such as medical claims and electronic medical records, and their conversion into analytics-ready datasets. With our proprietary AI models, we enrich these data sources and leverage this augmented data to deliver advanced analytics and insights through technology-enabled modules for sales forecasting, omnichannel targeting and segmentation, customer cohort builders, channel mix optimization and recommendations for next best actions.

Customer Data Management and Analytics

We developed easily configurable tools that integrate HEOR (Health Economics and Outcomes Research), medical claims, genomics, lab and other data sources to model disease states and their progression in a real-world patient population using graph-based predictive algorithms. Our patient cohort builder helps accelerate patient recruitment and enable fool-proof, evidence-based clinical trial design.

Clinical Trials

To help scale enterprise commercial and medical transformation for our clients and make the services delivered through our centers of excellence available to users across all markets, we developed a platform with in-built workflows catering to functions across the life sciences commercialization continuum - from regulatory content development to global product labelling, digital content development, omnichannel campaign design and execution. The platform enables global collaboration and eliminates multiple handovers during project execution resulting in speed, transparency and cost efficiency.