One control plane for cost, quality, and compliance across OpenAI, Anthropic, Google, and self-hosted models.
Reduce LLM spend up to 70% with intelligent caching, deduplication, and prompt compression — without changing your code.
Route every request to the cheapest capable model. Auto-fallback, A/B testing, and per-policy guardrails built-in.
Vector-aware caching identifies semantically similar requests, returning sub-50ms responses without a model call.
PII redaction, prompt firewalls, SOC 2 audit logs, and policy enforcement across every team and workload.
Per-team, per-model, per-prompt observability. Detect anomalies, attribute cost, and forecast spend in real time.
A single number that captures cache hit rate, routing efficiency, and quality. Track it the way you track NPS.
Most customers save 5–10× the cost of TokenLens in their first month.