Illustrative monthly token usage with sample data.
AI costs scale with usage, and nobody can see where the money goes.
BEE gives you unified visibility into usage, cost, latency, and quality, then acts on it automatically.
BEE is the self-hosted gateway that compresses prompts, caches by meaning, and enforces budgets across every team and agent. Your LLM bill shrinks while performance holds.
Works with the major LLM providers. Your data never touches our infrastructure.
Dual-method prompt compression strips low-information tokens before they reach the provider. A built-in safety layer protects what matters most (negations, numbers, critical data), so accuracy stays intact while input costs fall.
Semantic caching uses vector similarity to recognize equivalent queries, not just identical ones. Matches are adapted and served instantly, so you get lower latency, zero repeat fees, and less compute waste.
Finance gets control and engineering keeps shipping.
BEE routes and caches in cipher text, but LLM execution runs directly between your client and the provider. Sensitive responses never enter the gateway's trust boundary. It's self-hosted, so you hold the keys.
| Without BEE | With BEE |
|---|---|
| Unpredictable monthly bills | Budgets enforced per team and per agent |
| Duplicate prompts, duplicate costs | Semantic cache serves repeats instantly |
| Bloated prompts | Compressed, with critical data protected |
| "Who spent this?" | Immutable per-user audit trail |
| Data exposed to a middleman | Execution stays client-to-provider |
Most cost tools give you a one-time discount. BEE gets smarter with use. As traffic patterns settle, the cache calibrates to your domain and hit rates climb, so spend stabilizes and then falls. The more your teams use AI, the more BEE saves.
Predictable spend. Compounding savings. Zero data compromise.
Run BEE in shadow mode on your own workloads and get a savings report in days.
Start a pilot