Globally distributed semantic caching infrastructure for multi-turn, multi-modal AI applications. Synapse sits between your applications and AI models, intelligently caching and routing context to slash costs and latency.
Every multi-turn conversation, every agent workflow, every RAG application sends the same context over and over again. Depending on your workload, a significant portion of your LLM costs may be redundant.
Sending the same system prompts, conversation history, and context with every request costs thousands daily. You're paying for the same tokens repeatedly.
Context processing adds 200-500ms to every multi-turn conversation. Users notice the delay, and it compounds with each interaction.
As usage grows, LLM costs scale linearly with conversations. Context can account for a majority of inference costs at scale with no easy solution.
Synapse sits between your applications and LLM providers, automatically detecting and caching semantically similar context for instant reuse.
Synapse captures context from your AI requests transparently. Just change your base URL.
Patent-protected semantic similarity detection identifies cacheable content across languages and modalities.
Globally distributed network stores optimized context at edge locations near your users.
Edge nodes serve cached context with sub-10ms latency, eliminating redundant LLM calls.
Measurable impact on cost, performance, security, and scale from day one.
60-80% reduction in LLM inference costs. Pay only for unique context processing. Customers report saving $47K+ per month at scale.
60-80% cost reductionSub-10ms context delivery from edge locations. Eliminate redundant processing delays. Average response time reduction of 300ms.
<10ms edge latencyBuilt-in PII detection at the edge. Prevent personalization contamination and ensure data privacy across all cached content.
Edge PII protectionHandle millions of requests per second with auto-scaling global infrastructure. Validated across 10M+ queries with zero degradation under load.
10M+ queries validatedDrop-in integration with your existing LLM stack. No code changes required for basic setup.
Proprietary protocol for semantic routing that understands context similarity across languages and modalities.
Global coordination layer ensures consistent caching and analytics across all edge locations.
Real-time privacy enforcement with automatic scanning at the edge before caching.
Global coordination layer ensures consistent caching across all edge locations.
# Just change your base_url - keep using your existing client from openai import OpenAI client = OpenAI( api_key="your_openai_key", base_url="https://synapse.worldflowai.com/v1" ) # Use exactly as before - Synapse handles caching transparently response = client.chat.completions.create( model="gpt-4", messages=[ {"role": "system", "content": "..."}, {"role": "user", "content": "..."} ] ) # Automatic caching and cost optimization
From customer support to autonomous agents, Synapse optimizes every AI workload.
Multi-turn conversations with shared context across agent handoffs. Eliminate redundant processing of conversation history.
Up to 70% cost reductionInternal knowledge base queries with repeated policy and procedure questions. Consistent responses across teams.
86.8% cache hit rateLong-running autonomous tasks with tool use and persistent context. Reduce token costs on iterative workflows.
643x faster responsesCache retrieved context and common queries. Dramatically reduce costs for document Q&A systems.
80% token reductionSecure, air-gapped deployments with classification-aware caching. Built for regulated environments.
Air-gapped capableSub-100ms cache hits vs 2-10 second LLM calls. Transform user experience with instant responses.
<10ms latencyGeneric caching solutions weren't designed for semantic AI workloads.
| Feature | Synapse | Other Caching Solutions | Provider Caching |
|---|---|---|---|
| Semantic Matching | |||
| Multi-modal Support | |||
| Global Distribution | |||
| PII Detection | |||
| Integration Effort | |||
| Enterprise Security |
Start small and scale with your AI workloads. Pay only for what you use.
For teams testing AI applications
Up to 10M tokens cached
For production applications
Up to 100M tokens cached
For scale and compliance
Unlimited tokens cached
Built from the ground up for regulated industries and sensitive AI workloads.
All data encrypted in transit and at rest with AES-256.
Configure caches to never persist sensitive content.
Complete data isolation between organizations.
Full audit trail of all cache operations and access.
Integrate with your existing identity provider.
See ROI in your first month. Join leading AI teams already saving with Synapse.
Request a personalized demo and see how much you could save.
Learn about our seed round. Building the infrastructure layer for AI.