TingIS uses multi-stage LLM event linking plus routing and filtering to extract high-priority incidents from noisy customer data at 2,000 messages per minute, delivering 3.5-minute P90 latency and 95% discovery in production.
D 2 LLM : Decomposed and Distilled Large Language Models for Semantic Search
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TingIS: Real-time Risk Event Discovery from Noisy Customer Incidents at Enterprise Scale
TingIS uses multi-stage LLM event linking plus routing and filtering to extract high-priority incidents from noisy customer data at 2,000 messages per minute, delivering 3.5-minute P90 latency and 95% discovery in production.