We're evaluating real-time chat platforms and Hailuo is on the shortlist for its promised intent and category tagging. The primary use case is routing incoming sales and support chats to the correct team before an agent even joins, based on the initial customer message.
Our PoC requirements are strict: categorization must happen under 300ms from message send to tagged result returning to our routing logic. We can't have agents waiting on the system.
Has anyone implemented this specific real-time workflow at scale? I'm hearing mixed signals from sales engineering.
* **Advertised API latency** is <200ms.
* **Our initial tests** show a mean of ~450ms with a long tail hitting 1.2 seconds during what they call "model warm-up." That's unusable for live chat.
I need to know if this is our implementation problem or a platform limitation.
* Are you batching requests? We're sending per-message.
* What categorization volume are you handling per hour?
* Did you have to move to a dedicated instance to get consistent performance?
* Is the real-time categorization model different from their batch email analysis?
The data hygiene on their category output is decent, but irrelevant if it's too slow. Routing fails if the tag arrives after the agent has already picked up the chat.