Adopting and scaling Generative AI is not easy
Evolving
technology makes 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
Integration
with existing systems is challenging leading to bottlenecks in innovation and operationalizing use cases
What we do
Cortex is an orchestrated ensemble of life sciences Generative AI (GenAI) agents, orchestrated by Indegene. It is a fit-for-purpose GenAI platform that is strategically essential to developing and scaling high-value medical and commercial use cases for the enterprise.
It applies Indegene’s 25+ years of operational real-world experience to develop, monitor, and continuously improve codified knowledge graphs that augment multi-agent technology architecture to commercialization solutions. This yields more reliable, accurate and trustworthy outcomes from agents that allows AI to perform well out of the box and still gain experience from real-world use for continuous improvement.
Knowledge Engineering InterfaceCortex’s Knowledge Engineering Interface enables subject matter experts to codify domain process knowledge into knowledge graphs using a domain expert-friendly interface. It facilitates evaluation of the depth and quality of the codified knowledge as well as continuous improvement. These domain knowledge graphs capture the nuances and details about domain-specific processes and tasks that are unlikely to be present in pre-trained models and benefit from continuous improvement.
Fit-For-Purpose AgentsFit-For-Purpose Agents can be configured with your preferred Large Language Model (LLM) and can be reconfigured as LLM capabilities evolve. These agents leverage the knowledge graphs generated by the Knowledge Engineering Interface to perform tasks along the life sciences value chain with expert quality outcomes. Its feedback mechanisms enable knowledge graphs to gain experiential knowledge further increasing the competencies of agents.
Multi-Agent OrchestrationCortex’s Multi-Agent Orchestration enables use-case-specific applications based on fit-for-purpose agents and enterprise-wide system integrations. Life sciences leaders can use their own application development systems or the platform's services for end-to-end solutions.