Case Study
A closer look at how this system was designed, architected, and rolled out in production. Each section below captures one part of the delivery story—from scoping and UX to data pipelines, integrations, and ongoing operations.
Fulgent AI brings data connectors, model hosting, evaluation, and deployment under one roof. We helped the team define a mental model where projects move from exploration to stable production environments without hand-built glue code.
Data scientists can spin up experiments, compare runs, and promote winning configurations into shared workspaces. We added visual diffing of metrics and outputs so teams can justify model changes to stakeholders without digging through notebooks.
Every deployed model gets a consistent API surface, SDK support, and usage analytics. This lets product teams plug models into applications without worrying about how they are trained or scaled internally.
Access policies, dataset lineage, and deployment history are tracked centrally. Approval workflows and environment separation make it clear which models are experimental and which ones power customer-facing products.