Predibase

Predibase is a platform for fine-tuning, adapting, and serving open-source large language models. It helps teams create custom models for domain-specific tasks, deploy inference APIs, and improve output quality without training foundation models from scratch. The platform is useful for founders and enterprise AI teams that need better performance than prompting alone can provide. Developers can use Predibase for custom assistants, classification, extraction, coding workflows, customer support, document intelligence, and specialized agent behavior based on private data. Predibase focuses on efficient fine-tuning and serving, including adapter-based approaches and production deployment workflows. This makes it relevant for teams that want control over model behavior, cost, latency, and data usage while still relying on open model ecosystems. For FutureStack, Predibase belongs in Developer Tools because custom model adaptation is an important layer beyond basic API calls. It is best for technical founders and AI teams building specialized LLM products, domain-specific agents, and production workflows that need fine-tuned behavior.