Customer Experience Intelligence
Real-time semantic intelligence at every customer touchpoint: intent routing, signal detection, data protection, and content moderation, all under 40ms.
Four specialist models replace cloud NLU services, batch analytics platforms, pattern-based PII detection, and manual content moderation. Each fine-tuned for a single customer experience task at under 40ms. New intents, signal types, or moderation categories adapt via LEAP in minutes. Your models evolve as fast as your product does.
4 specialist models
How It Works
One specialist model per customer touchpoint,
from first message to retention action
15ms Semantic Routing That Scales to Millions of Messages
Contact centers handle millions of messages daily. Each one needs the right team (billing, tech support, account management, or escalation) in milliseconds. Pattern matching achieves roughly 70% accuracy and misroutes the rest. Cloud NLU services provide better accuracy but at nearly a second of latency and costs that compound at scale. A specialist LFM classifies intent at 15ms with 95%+ accuracy. New intents for seasonal campaigns, product launches, or policy changes deploy via LEAP in minutes. One model, one task, deployed where latency matters most.
Detect Churn Risk and Upsell Signals While the Customer Is Still Talking
A customer mentioning a competitor is a churn signal hiding in a support ticket. A request for 50 additional seats is an upsell opportunity buried in a feature request. Batch analytics platforms detect these signals a day or more after the interaction. By then the customer has already churned or the window has closed. A specialist LFM detects churn risk, escalation urgency, upsell potential, and three more signals in 25ms, while the conversation is still happening. Real-time signal detection means real-time intervention.
PII Redaction Before Sensitive Data Reaches Your Systems
Customers share SSNs, credit card numbers, and personal details in support messages without thinking twice. That data flows into CRM systems, analytics dashboards, and training datasets, creating compliance liability at every step. Pattern matching catches formatted identifiers but misses colloquial variations. Cloud detection services add latency and create a data residency concern. A specialist LFM detects and redacts PII semantically at under 50ms, on your infrastructure. Data never leaves your boundary. Adapt to new PII patterns via LEAP in minutes.
Real-Time Content Moderation Without an ML Operations Team
Community forums, social feeds, gaming chats, and ad-adjacent content all need real-time moderation. Human review cannot keep pace. Keyword filters generate false positives on sarcasm and slang. Custom classifiers work but require dedicated ML teams and months-long build cycles. A specialist LFM classifies content by toxicity, brand safety, and category in under 40ms, fast enough to filter before the message appears. New content categories deploy via LEAP in minutes, not months. The model evolves with your community's language.
Try each model
All Demos
Intent Classification
Sub-20ms semantic routing for contact centers and chatbots
15ms semantic routing replaces regex (70% accuracy) and expensive cloud NLU
Customer Signal Detection
Real-time churn, upsell, and escalation signals from every customer touchpoint
25ms signal detection turns every support ticket into a retention, upsell, or routing decision
Redaction Gateway
Detect and redact PII with semantic understanding — regex vs cloud vs LFM comparison
Regex misses 40% of PII. Cloud LLMs take 500ms. LFM catches everything in under 50ms
Text Classification
Sub-50ms semantic classification for gaming, AdTech, and content safety
Sub-50ms classification enables real-time content moderation that cloud LLMs can’t serve
Ready to deploy in your environment?