NEXT Technology Platforms

NEXT Technology Platforms is a suite of fit-for-purpose technology solutions developed by Indegene for life sciences companies, including biopharmaceuticals, emerging biotech, and medical device organizations. The platforms address common technology challenges in the sector — including sparse and poorly tagged data, unstructured content, and siloed systems — by applying NLP, machine learning, machine vision, and agentic AI to automate and integrate processes across the commercialization value chain.

The platforms are designed to reduce reliance on headcount-intensive manual processes, enable enterprise-wide adoption, and support functions spanning content management, pharmacovigilance, regulatory submissions, customer data analytics, clinical trials, and workflow management.

Content Management

• Uses NLP, ML classifiers, and machine vision to automate content modularization, metadata generation, content comparison, document lineage mapping, and new content creation.
• Supports automated medical review and approval of documents, measurement of content effectiveness, and agile reuse of regulatory, medical, educational, and promotional content.
• Designed to process large volumes of content with human oversight rather than direct human execution.

MLR Review Automation

• Indegene's NEXT MLR Review Automation platform is built on agentic AI and targets completion of medical, legal, and regulatory (MLR) reviews and approvals within 24 hours of content creation.
• Covers the end-to-end MLR process including content creation, review, and process management.
• Features include intelligent content suggestions, automated reference anchoring, local regulatory checks (such as ABPI and PAAB), and differentiated workflows for different stakeholders.
• Aims to reduce review cycles, minimize rework, and support global and local compliance.

Safety (Pharmacovigilance)

• Automates the conversion of unstructured data into structured fields for safety databases.
• Targets the headcount-intensive process of adverse event case intake and processing within pharmacovigilance workflows.

Regulatory Intelligence and Planning

• Monitors and ingests regulatory guidelines published by agencies including the US FDA and EMA.
• Includes tools for optimizing resource allocation and prioritizing submission timelines across different markets to maximize the business potential of new product launches.

NEXT Regulatory Submissions Planning

• Combines regulatory expertise with AI-powered planning to support accurate, compliant, and on-time submissions to health authorities worldwide.
• Covers consulting, regulatory planning, dossier preparation, publishing, electronic submissions, clinical trial transparency, and regulatory information management (RIM) support.
• Uses predictive capabilities to identify risks, adapt to changing regulations, and prioritize submissions.
• Targets a reduction in submission timelines of up to 40%.

Customer Data Management and Analytics

• Ingests and integrates data from internal and external sources including CRM, sales and marketing data, channel data, prescription data, medical claims, and electronic medical records.
• Converts diverse data into analytics-ready datasets using proprietary AI models.
• Delivers advanced analytics through modules for sales forecasting, omnichannel targeting and segmentation, customer cohort builders, channel mix optimization, and next best action recommendations.
• Supports personalization of HCP and patient experiences within omnichannel strategies.

Clinical Trials

• Provides configurable tools that integrate HEOR, medical claims, genomics, lab, and other data sources.
• Uses graph-based predictive algorithms to model disease states and their progression in real-world patient populations.
• Includes a patient cohort builder to accelerate patient recruitment and support evidence-based clinical trial design.

Workflow Management

• Provides a platform with built-in workflows covering functions across the life sciences commercialization continuum, including regulatory content development, global product labelling, digital content development, and omnichannel campaign design and execution.
• Supports global collaboration and reduces handovers during project execution.
• Designed to make services delivered through Indegene's centers of excellence available to users across all markets.

Underlying Technology Approach

• Applies medical taxonomy based on therapies, audience, and channel nuances to classify content and accelerate deployment.
• Uses natural language processing and generation, machine vision, and proprietary ML classifiers to automate narrative generation and improve confidence levels.
• Integrates with commonly used life sciences enterprise platforms and applications to reduce implementation friction and align with existing IT strategies.

NEXT Technology Platforms integrates with partner organizations spanning life sciences-specific solutions and broader technology platforms. The suite is positioned as part of Indegene's wider portfolio, which includes connected commercial, connected content ecosystem, and generative AI-powered commercialization offerings, and is delivered through consulting, centers of excellence, and functional capability centers.