Infere is an all-in-one platform designed for LLM prompt management, evaluation, and observability, offering enterprise-grade reliability, governance, and cost control. It serves as the infrastructure layer for LLM workflows, enabling users to manage prompts like code with a Git-native workflow. Key features include prompt repositories, evaluators for quality gates, and comprehensive observability of API calls, latency, errors, and cost.

• Git-Native Workflow: Manage prompts with branching, merging, versioning, and A/B testing directly in Git repositories, ensuring every save is a version backed by a commit. Roll back releases with a single click and review changes in pull requests.
• Unified AI Gateway: Provides a single OpenAI-compatible endpoint across leading AI providers, featuring an AI-powered model router, context-compression strategies, prompt enhancement, fallback chains, and circuit breakers.
• AI Cost Optimization: Reduce AI spend with an AI-powered model router that analyzes prompt complexity and routes to the optimal model. Includes per-token budgets with hard caps and workspace-level visibility.
• Evaluator-Driven Quality Gates: Score prompts and models using AI judges and deterministic evaluators. Compare runs side-by-side and gate deployments based on regression policies. Offers over 60 evaluator types, including LLM, code, and deterministic checks.
• Workspace Isolation: Grants autonomy to each team with dedicated tokens, prompt repositories, and budgets, while maintaining centralized visibility across organizations and workspaces.
• Full Audit Observability: Logs every API call as a request, grouped into traces, and tagged with custom properties for security reviews. Offers detailed logging, S3 storage, and data retention configuration.
• Getting Started: The platform allows for quick setup, from account creation and credit addition to connecting applications via the OpenAI-compatible endpoint and setting up routing modes.

Infere removes the complexities between prompt creation and production deployment, streamlining AI inference workflows.