AI Gateway

Track Claude Code spending per developer, team, and project with Bifrost's hierarchical budget management and real-time observability. No code changes required. Claude Code is one of the fastest-growing AI development tools in 2026, and its token consumption is equally fast-growing. On API pricing, the average Claude Code user

Retail AI is no longer experimental. According to NVIDIA's 2026 State of AI in Retail and CPG survey, 97% of retailers plan to increase AI spending in the next fiscal year, 69% report increased annual revenue from AI adoption, and 72% have seen decreased operating costs. The AI

Fintech companies are deploying AI across fraud detection, credit scoring, KYC automation, algorithmic trading, customer service, and regulatory compliance. McKinsey estimates AI could add $200 to $340 billion in annual value to the global banking industry, and the AI in fintech market is expected to grow from $18.31 billion

Healthcare organizations are deploying AI across clinical documentation, diagnostic support, claims processing, patient communication, and drug discovery. The AI in healthcare market is projected to reach $110.61 billion by 2030, growing at a 38.6% CAGR according to MarketsandMarkets. But unlike consumer AI applications, healthcare AI operates under strict

Bifrost provides the enterprise governance layer for Claude Code with virtual keys, hierarchical budgets, audit logs, and MCP tool control at 11µs overhead. Claude Code adoption is accelerating across enterprise engineering teams. The tool runs in developer terminals with full user-level privileges, reading files, executing commands, and connecting to external

Claude Code is one of the most capable AI coding agents in production today, but it creates a cost visibility problem that catches engineering teams off guard. Each agentic session triggers dozens of API calls for file operations, terminal commands, and code editing, often using high-cost models like Claude Opus