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Neuralk built Seldon around the idea that LLMs can be the interface, while a specialized model does real prediction work. Use it where you already work: Alexandre says Seldon connects through Python, Excel, MCP servers, and skills, so Claude, ChatGPT, or another agent can hand off predictive jobs. Skip the one-model-per-question treadmill: the goal is one foundation model that adapts across churn, fraud, demand, pricing, classification, regression, and forecasting problems. Handle genuinely huge tables: Alexandre says Seldon scales to roughly 20M rows and more than 600 columns. Keep sensitive deployments private: mission-critical companies can deploy Seldon in their own cloud or on-premises. Explore it yourself: Neuralk / Seldon