This 2024 case study describes how a leading telecom company reduced the complexity, cost, and training burden of adopting LLMs by building a centralized low-code/no-code “LLM gateway” portal for diverse users, including business owners, citizen data scientists, and data scientists. Brillio delivered a comprehensive UI that supports end-to-end LLM activities like prompt engineering, completions, data processing (cleanup, deduplication, and PII masking), finetuning, evaluation, and inferencing across both closed and open-source models. The portal streamlines onboarding through workspace and budget provisioning, automated infrastructure setup, RAG-based data interpretation, a prompt playground, model leaderboards, batch and real-time endpoint deployment, and cost, performance, and hallucinat

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