Cortex

Cortex is Indegene's enterprise-grade Generative AI platform built specifically for the life sciences industry. It is designed to help biopharmaceutical, emerging biotech, and medical device organisations develop and scale domain-specific AI use cases — including content supply chain management, Medical-Legal-Regulatory (MLR) review acceleration, and medical writing — by combining over 25 years of life sciences subject matter expertise with advanced knowledge engineering and purpose-built AI agents.

The platform addresses three core challenges organisations face when adopting generative AI at scale: the difficulty of integrating AI with existing systems without high upfront costs, the need to adapt infrastructure as models and business processes evolve, and the requirement to maintain trust, compliance, explainability, and auditability of AI outputs. Cortex separates domain knowledge from application development, enabling enterprises to deploy continuously improving AI solutions while maintaining enterprise-grade governance.

Core Platform Components

• Knowledge Engineering Interface: Allows subject matter experts (SMEs) to codify domain knowledge and build agents through a user-friendly interface that requires minimal technical knowledge. It decouples life sciences domain-specific knowledge engineering from business application development, incorporates continuous improvement mechanisms, and uses knowledge graphs that evolve as new information is added. The interface natively integrates scientific literature, clinical trial data, regulatory knowledge, and proprietary life sciences databases to support accuracy, regulatory compliance, and scientific validity.
• Fit-For-Purpose Agents: Life sciences experts can create and configure agents using any Large Language Model (LLM) within Cortex. The LLM-agnostic design allows organisations to adopt new models as they emerge with minimal additional investment. The platform supports rapid building of customised agents and enables combining fine-tuned models with generalised LLMs.
• Multi-Agent Orchestration: Cortex supports enterprise-wide integration of agents into a multi-agent ecosystem covering all relevant use cases. Agents can be built by life sciences experts and integrated into existing in-house applications to enable broad access and use across the organisation.

Key Capabilities

• Operates within a flexible, multi-agent orchestration framework that is LLM-agnostic and designed to evolve with advances in AI technology.
• Supports development of high-value, domain-specific use cases such as content supply chain optimisation, MLR review acceleration, and medical writing transformation.
• Enables SMEs to build and configure agents without requiring deep technical expertise.
• Integrates scientific literature, clinical trial data, regulatory knowledge, and proprietary life sciences databases natively within the knowledge engineering layer.
• Supports continuous improvement of knowledge graphs as new domain knowledge is introduced.
• Facilitates integration of AI agents into existing enterprise applications for broad organisational access.

Business Outcomes

• Innovation at scale: Supports scaling of generative AI utilisation across the enterprise and enables organisations to build proprietary GenAI intellectual property.
• Cost efficiency: Reduces the cost of building and upgrading agents as LLMs evolve over time.
• Risk management: Provides enterprise-wide governance and compliance controls across multi-agent environments.

Documented Use Cases

• A global pharma company accelerated video production by 32% using the platform.
• A US-based biopharma company used generative AI to generate standard response documents for regulatory affairs.
• A German biotech partnered with Indegene to apply generative AI to Health Authority (HA) query handling and CMC data automation.
• A global biopharma used the platform to develop informed consent forms and plain language protocol synopses.

Cortex is part of Indegene's broader Generative AI-Powered Commercialization portfolio and is positioned as a managed, fit-for-purpose GenAI platform. It is intended for life sciences enterprises seeking to operationalise generative AI with domain-specific accuracy, regulatory compliance, and scalable governance across commercial, medical affairs, regulatory affairs, and clinical functions.