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Alchymos

Alchymos provides a purpose-built, multi-layer caching engine optimized for LLM‑driven AI agents, reducing latency to sub‑second response times and cutting operational costs. The platform offers fine‑grained cache control with custom TTLs, priority levels, and metadata‑based rules, plus real‑time analytics on hit rates and bandwidth savings, enabling AI teams to scale agent workloads efficiently.

San Francisco150+ followers
Updated 1 month ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

AI agents that rely on large language model APIs often experience high latency and significant operational costs, especially when repeatedly processing similar requests. Without an efficient caching mechanism, redundant calls increase response times and expense, limiting scalability.

Solution

Alchymos offers a purpose-built, multi-layer caching engine optimized for agentic workloads. The platform intercepts LLM requests and serves responses from edge caches, reducing latency to sub‑second levels while cutting API usage costs. Users can define fine‑grained caching rules based on provider, model, user, or custom metadata, with configurable TTLs, priority levels, and tag‑based controls. Real‑time analytics provide visibility into hit rates, bandwidth savings, token usage, and latency per agent or team. An auto‑refresh feature keeps cached content relevant by proactively updating entries based on defined policies.

Target Audience

Primary customers are AI development teams and enterprises that deploy large language model‑driven agents, such as conversational assistants, autonomous bots, and workflow automation systems.

Features

  • Multi‑layer edge cache that stores LLM responses for rapid retrieval
  • Fine‑grained rule engine allowing caching policies by provider, model, user, or custom metadata with TTL and priority settings
  • Meaning‑based caching that matches requests beyond exact string matches
  • Real‑time observability dashboard showing hit‑rate, bandwidth savings, token consumption, and latency metrics
  • Auto‑refresh mechanism to keep cached data up‑to‑date without manual intervention
  • SOC 2 Type II compliance and enterprise‑grade security controls
  • 24/7 premium support and SLA options for enterprise customers
This profile is AI-generated and may contain inaccuracies.