Conifer simplifies the complexity of managing AI inference across multiple models, providers, and pricing tiers. It automates critical decisions such as model selection, provider routing, and cache handling, ensuring optimal performance and cost efficiency for every query. The system operates seamlessly within existing API harnesses, requiring no changes to current workflows or tools like Claude Code and Codex.
By consolidating inference operations in a single, intelligent layer, Conifer reduces operational overhead and lowers overall spending on AI compute. Teams benefit from consistent performance without needing to manage model-specific configurations. This centralized approach enables organizations to scale their AI usage efficiently while maintaining flexibility and control over their inference pipeline.