Challenge:
This multinational chemical company sought to leverage emerging AI technologies to transform information extraction and knowledge access across its global operations. The challenge lay in building scalable, secure, and compliant LLM-based products that could integrate seamlessly with existing Azure infrastructure.
Solution:
- Large Language Model-based solutions using RAG and advanced prompt engineering.
- Centralised data management pipelines.
- Full end-to-end lifecycle of LLM products from proof-of-concept to deployment.
- Developed API endpoints for scalable, cloud-native integration.
Outcome:
Delivered enterprise-ready AI products that transformed unstructured data into actionable knowledge. The initiative standardized LLM deployment practices at the client, enhanced cross-functional collaboration, and established a scalable framework for future AI-driven solutions across the organisation.