TS Imagine, a financial services technology provider, serves over 500 clients globally by offering integrated electronic front-office trading, portfolio management, and risk management solutions. The company relied on multiple legacy data systems, which created inefficiencies in data processing, analytics, and decision-making. TS Imagine needed a unified AI-ready data platform to: Consolidate disconnected SaaS products, teams, and technologies after a corporate merger. Automate email monitoring and categorization to improve operational efficiency. Deploy generative AI models at scale to extract insights from massive unstructured data. Before implementing Snowflake, the company faced challenges in managing high data volumes, ensuring AI model efficiency, and streamlining data-driven workflows.

TS Imagine migrated its AI workloads and data infrastructure to Snowflake’s AI Data Cloud, leveraging Cortex AI to power its generative AI models. The company implemented a retrieval-augmented generation (RAG)-based AI process to automate email categorization, significantly reducing manual effort. Instead of processing thousands of emails manually, AI-powered workflows now classify, prioritize, and assign JIRA tickets automatically. TS Imagine also built an enterprise AI chatbot using Streamlit on Snowflake, allowing business users to interact with AI-driven insights in a simple conversational interface. This innovation democratized data access and streamlined knowledge retrieval across the company. With Snowflake’s highly scalable infrastructure, TS Imagine was able to process and manage billions of data records per week, ensuring that AI-driven insights remained accurate, fast, and actionable.