Case Study
Academic Content Generation with Agentic RAG
Use Case Identification
Identifying the right opportunities where Generative AI can deliver significant business value.
Architecture Diagram
The solution significantly improved content development efficiency, reducing manual content creation efforts by over 50% while providing personalized academic material that enhanced learner engagement. KPI cards, such as a Generative AI Score Card, Solution Effectiveness indicators, and Accuracy metrics, were introduced to track performance and ensure consistent quality improvements.
Core Team
Ankush Anand
(Chief Product Officer, Generative AI)
Ankush has over 20+ years of industry experience, including more than 3 years focused on Generative AI. He ensures efficient delivery and execution of AI projects, aligning outcomes with client expectations.
Mohit Mittal
(Chief Architect)
Mohit brings over 20 years of technology experience, with more than 3 years in Generative AI. As Chief Architect, he leads technical strategy, ensuring AI solutions are robust, scalable, and aligned with client needs.
Why Choose Us
Productionizing Generative AI is a complex process involving challenges such as hallucination control, consistent model evaluation, maintaining output quality, managing costs, scalability, security compliance, and ensuring successful operational deployment. Our extensive experience guides organizations through every step of this journey, providing holistic, end-to-end support that encompasses:
Identifying the right opportunities where Generative AI can deliver significant business value.
Structuring an AI plan that aligns with your overall business vision, including detailed project planning to guide implementation.
Crafting scalable and efficient architectures to ensure seamless integration of Generative AI solutions with existing systems.
Creating prototypes to validate ideas and understand potential impact before large-scale rollout.
Developing a Minimum Viable Product to quickly test Generative AI solutions in real-world environments.
Building scalable systems that move beyond prototypes to real-world impact.
Establishing clear collaboration methodologies, agile development practices, and continuous improvement to ensure successful outcomes.
Our Whitepapers
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