Helicone is built around LLM gateway observability, logging, caching, rate limits, and cost analytics for model calls. Latten is built around company AI governance: who acted, what the AI reached, what it cost, and whether private data exposure is visible without copying values.
See it on a live graph — no signup →Gateway tools see model traffic well. Latten records boundary crossings across model calls, data domains, external APIs, and agent handoffs, then renders one authority graph.
Latten ties model spend to the actor and data domain behind the call, so finance and platform teams can see spend without an owner.
Latten does not need to sit in front of requests to create value. The SDK records beside each call and never changes return values.
No. Latten is observe-only at launch and sits out of the request path.
Yes. Latten tracks LLM calls, data touches, external APIs, and agent handoffs as crossings.
Helicone is a better fit when the core job is LLM gateway logging and model-call analytics.