AI Gateway

An enterprise AI gateway with automatic fallback routing keeps AI applications online when providers fail. Learn how Bifrost handles failover across 1000+ models. LLM provider outages are no longer rare events. In December 2025 alone, Anthropic reported 20 incidents and OpenAI reported 22, including multiple major outages lasting 30 minutes

Compare the top enterprise AI gateways for controlling LLM costs in 2026: semantic caching, hierarchical budgets, provider routing, and governance for production AI teams. Enterprise LLM spending has surpassed $8.4 billion in API costs alone, with 72% of organizations expecting their AI budgets to increase further in 2026. As

Bifrost provides hierarchical budget controls, semantic caching, and real-time cost observability to help enterprise teams track and optimize LLM spend across providers. Enterprise LLM spend has scaled rapidly, with Menlo Ventures reporting that enterprise AI investment tripled from $11.5 billion to $37 billion in a single year. As generative

Enterprise AI gateways give teams centralized governance, multi-provider routing, and cost control for Claude Code deployments. Compare the top options for scaling Claude Code in production. Claude Code has become a core part of enterprise engineering workflows. Business subscriptions to Claude Code quadrupled in Q1 2026, and enterprise use now

Enterprise AI gateways give teams centralized governance over Claude Code deployments. Compare the top gateways for budget control, observability, and compliance in 2026. Claude Code adoption is accelerating across enterprise engineering organizations. Anthropic reports that the tool averages approximately $6 per developer per day on API pricing, with team-level costs

LiteLLM's Python-based proxy hits performance and governance limits at production scale. Compare the top five LiteLLM alternatives for enterprise AI gateway deployments in 2026. LiteLLM earned its reputation as the go-to open-source LLM proxy by supporting 100+ providers through a unified OpenAI-compatible interface. For Python-heavy teams in prototyping,