NVIDIA Inception Member
4 Patents Filed
SOC 2 Planned
GDPR Compliant
WorldFlow AI gives your AI applications memory. Semantic caching at the API gateway. KV-cache acceleration at the GPU for 2-12x faster inference. Long-term agentic memory across sessions. One platform for the full AI memory stack.
NVIDIA Inception Member
Every conversation starts from scratch. Every agent forgets what it learned. Long-context inference takes seconds. At scale, 40-70% of your inference cost is redundant computation.
Every conversation starts from scratch. Every agent forgets what it learned. Your AI has no persistent context across sessions, users, or workflows.
Long-context prefill dominates latency. At 16K+ tokens, users wait 5-10 seconds for the first token. Scaling GPUs doesn't solve the compute bottleneck.
The same context is reprocessed on every request. At scale, the majority of inference cost is redundant computation your infrastructure has already done.
Synapse™ sits at every layer of the AI infrastructure stack
WorldFlow AI Synapse™ is the memory layer between your applications and AI models. From API gateway caching to GPU-level inference acceleration to persistent agentic memory and intelligent cost optimization.
WorldFlow AI sits at the API gateway, intercepting requests and matching them semantically against cached responses. Sub-10ms cache hits eliminate redundant LLM calls entirely. Just change your base URL.
For cache misses, semantic KV-cache routing directs queries to GPU workers that already hold relevant cached attention states — cutting prefill time by 2-12x on long-context workloads.
Long-term agentic memory persists across sessions, users, and workflows. Your AI remembers what it learned, building institutional knowledge over time.
Intelligent routing and caching decisions that minimize spend across providers. Real-time analytics, per-model cost tracking, and automatic fallback to the most cost-effective path.
Measurable impact on cost, performance, security, and scale from day one.
40-70% reduction in LLM inference costs through semantic caching. Pay only for unique context processing, not redundant computation.
40-70% cost reduction2-12x faster time-to-first-token on long-context workloads via semantic KV-cache reuse. Sub-10ms gateway cache hits eliminate redundant LLM calls entirely.
2-12x faster TTFTBuilt-in PII detection at the edge. Prevent personalization contamination and ensure data privacy across all cached content.
Edge PII protectionYour agents and applications build knowledge over time. Context persists across sessions, users, and deployments. Connected intelligence that grows with your application.
Cross-session memoryFrom customer support to autonomous agents, WorldFlow AI optimizes every AI workload.
Multi-turn conversations with shared context across agent handoffs. Eliminate redundant processing of conversation history.
Persistent memory across sessions and workflows. Agents remember what they learned, build institutional knowledge, and share context across teams.
Cache retrieved context and common queries. Dramatically reduce costs for document Q&A systems.
Documents, codebases, and research with 16K-128K token contexts. Semantic KV-cache routing eliminates redundant prefill, cutting TTFT from seconds to milliseconds.
Every deployment is different. Let us design a plan that fits your infrastructure, volume, and compliance needs.
Get in TouchSee how WorldFlow AI can reduce your inference costs, accelerate TTFT, and give your AI persistent memory.
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Learn about our seed round. Building the enterprise memory layer for AI.