WhatA smart caching proxy that sits between applications and LLM APIs, implementing adaptive cache eviction based on session context and usage patterns rather than crude TTL timers.
SignalEngineers recognize that current provider-controlled caching is blunt and suboptimal — coarse TTLs waste money or degrade performance — and that truly intelligent, session-aware caching requires client-side control with per-account budgets and adaptive purging, which no one has built well yet.
Why NowLLM providers are actively degrading their own caching to manage infrastructure costs, pushing the optimization problem onto customers who now have both the incentive and the technical surface area to solve it themselves.
MarketAI-native development teams and enterprises running agentic coding tools; $2B+ market for LLM cost optimization tooling; competitors like Helicone and LiteLLM touch proxying but lack sophisticated caching intelligence.
MoatUsage pattern data across thousands of customers enables increasingly accurate predictive caching that improves with scale — a classic data flywheel.
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