Smart caching infrastructure that will make AI applications faster and more cost-effective - coming soon.
Contact UsEvery AI request takes too long, frustrating users and killing conversions.
API costs scale linearly with usage. With 68% cache hit rate, save 40-50% on LLM costs.
Our semantic matching achieves 68% cache hits vs 10-15% for exact text matching.
Semantic Cache - caches by meaning using embeddings, not just exact text.
CDN architecture with distributed edge nodes, Orchestrator control plane, and gossip protocol.
Traditional CDNs cache exact URLs (e.g., /image.jpg). We cache semantically - "What's the weather?" ≈ "How's the weather?" Result: 68% cache hit rate vs 10-15% for exact matching.
Central control plane for config management and credential distribution.
200+ distributed locations for request handling with <50ms latency.
Customer self-service for provider configuration with no code changes.
P2P cache coordination for global consistency in ~6 seconds.
68% cache hit rate using semantic similarity (0.80 threshold) - understanding meaning, not just exact text matches.
Circuit breaker with transparent routing, no downtime. Three states: Closed (normal), Open (backup routing), Half-Open (testing recovery).
OpenAI & Anthropic fully integrated. Google & Cohere coming soon.
Full support for LLM token streaming responses.
Built-in request throttling to protect your infrastructure.
Dashboard API for configuring ANY HTTP-based LLM provider - no code changes required.
Initial deployment to 10 edge locations worldwide with <50ms latency.
~6 second propagation globally via Orchestrator push model.
Hit rates, latency metrics, cost calculator per provider with comprehensive insights.
RBAC, mTLS, audit logging, and SOC 2 Type II preparation.
200+ locations with gossip-based cache coordination and 99.9%+ uptime.
Interested in our vision? Want to learn more or discuss funding opportunities? Reach out to the Vibe team.