Crowkis for customer support bots: cut cost and latency
customer support bots are full of repeat questions from every customer, all day. A safe semantic cache turns that repetition into instant, free hits.
Customer support bots are one of the most repetitive LLM workloads there is: repeat questions from every customer, all day. Every repeat is a full-price model call for an answer you already produced.
What Crowkis changes
Crowkis sits in front of your model and reuses answers by meaning, not exact text, so a reworded question still hits. It adds structural matching, per-hit confidence, freshness control, and tenant isolation, so reuse is safe, not just cheap.
In plain words. For customer support bots, the repetition is the bill. Remove the repetition and the bill drops.
On workloads like this, semantic caching cuts LLM costs up to 60-70% on repetitive workloads, and hits return in well under a millisecond, so customer support bots feel faster too. Community edition ships at full power, free to run.
The cheapest, fastest answer is the one you already have and can safely reuse.