Trilogy Validates Open-Weight AI Models for Enterprise AI Workloads with Fireworks

Trilogy’s AI Center of Excellence faced rising infrastructure costs and operational challenges as AI adoption grew across its portfolio companies, prompting them to standardize and optimize their AI workflows. To address these issues, they adopted Fireworks AI as the primary inference infrastructure, which allowed the transition from fragmented model experimentation to scalable, production-grade usage of open-weight models. This shift facilitated billion-token scale workloads, reduced costs, and improved operational efficiency by supporting structured evaluation and testing within a unified environment. Fireworks enabled rapid iteration across teams, facilitating the deployment of open-weight models without significant infrastructure overhead, and became integral to systems like OpenSymphony, which orchestrates high-volume, multi-agent workflows. Consequently, Fireworks empowered Trilogy to move from isolated experimentation to enterprise-scale agentic systems, significantly enhancing the efficiency and scalability of their AI operations.