#FutureReadyHealthcare
Adopting and scaling Generative AI is not easy
Integration
with existing systems is challenging with high upfront costs leading to bottlenecks in innovation and operationalization
Evolving
technology and ongoing costs make it difficult to adapt AI infrastructure to accommodate new models, business processes and experiences
Trust
and compliance in the absence of consistent standards is difficult to achieve and ensure outputs are explainable and auditable
What we do
Cortex is Indegene’s enterprise-grade Generative AI platform, purpose-built for the life sciences industry. It enables the development and scaling of high-value, domain-specific use cases—such as streamlining content supply chain, accelerating Medical-Legal-Regulatory (MLR) reviews, and transforming medical writing—by combining over 25 years of subject matter expertise with advanced knowledge engineering and fit-for-purpose AI agents.
The agents operate within a flexible, multi-agent orchestration framework, are Large Language Model (LLM) agnostic, and are designed to evolve with the state of the art. By separating domain knowledge from application development, Cortex allows enterprises to deploy trustworthy, continuously improving AI solutions at scale while ensuring enterprise-grade governance.
Knowledge Engineering InterfaceCortex’s Knowledge Engineering Interface enables subject matter experts (SME) to codify their domain knowledge and build agents using a user-friendly interface, with minimal technical knowledge. It decouples life sciences domain-specific knowledge engineering from business application development. Its in-built continuous improvements and knowledge graphs evolve as new knowledge is fed to the platform. It integrates scientific literature, clinical trial data, regulatory knowledge and proprietary life sciences databases natively, and ensures accuracy, regulatory compliance and scientific validity.
Fit-For-Purpose AgentsLife sciences experts can easily create and configure agents using any LLM in Cortex. This LLM-agnostic approach offers flexibility to use new LLMs as they emerge, and with minimal investment. The platform facilitates rapid building of fit-for-purpose, customized agents and combining fine-tuned models with generalized LLMs.
Multi-Agent OrchestrationCortex enables enterprise-wide integration of agents to create a multi-agent ecosystem of all relevant use cases. Cortex enables life sciences experts to build agents with ease and integrate them into existing in-house applications for broad access and use.
