Hybrid NLP Chatbots
High-Precision Dialogues.
Combine deterministic NLU slot-filling for strict transaction accuracy with LLM generative fallbacks for open-ended queries. Built for zero-tolerance workflows like banking intake, booking scheduling, and identity verification.
Technical Capabilities
Structured NLU Slot Extraction
Ensure transactional queries capture mandatory parameters. Our NLU engine executes structured slot-filling routines, validating phone numbers, part IDs, dates, and postal codes before backend submission.
Custom Domain Named Entity Recognition (NER)
Generic NER models miss custom product codes. We train custom SpaCy and BERT NER pipelines that extract SKU formats, internal jargon, and alphanumeric serial keys accurately.
Real-Time Sentiment-Based Queueing
Monitor customer emotional signals turn-by-turn. Tone classifiers detect rising frustration or urgency, escalating high-friction tickets to tier-2 human agents with complete intent state summaries.
Legacy Dialog Engine Migration
Upgrade legacy infrastructure seamlessly. We migrate existing intent trees, slot maps, and training datasets from Dialogflow CX, Amazon Lex, and Rasa into modern hybrid LLM architectures.
Hybrid NLP Stack
We combine deterministic intent classifiers, low-latency deep learning models, and secure container infrastructures.
NLU Frameworks
High-precision slots collection, token parsing pipelines, and multilingual dialogue mapping engines.
Classifier Runtimes
ONNX-compiled models optimized for low-latency intent prediction and Named Entity Recognition (NER).
Dialogue Routing
Directs dialog flow dynamically based on intent classification confidence scores and classification layers.
Scale Infrastructure
Containerized model runtimes serving multi-thousand concurrent requests with minimal CPU overhead.
Hybrid NLU Development Lifecycle
From intent corpus audit to low-latency polyglot NLU deployment in 30 days.
Corpus & Slot Audit
Review legacy chat logs, define domain intent taxonomies, map entity slots, and design NLU fallbacks.
Custom NER & Model Tuning
Train SpaCy and BERT entity extractors, build NLU classification pipelines, and configure multilingual translation.
Cross-Language Stress Test
Benchmark intent accuracy across 40+ languages and verify PII entity masking under adversarial edge cases.
Low-Latency NLU Launch
Deploy sub-50ms NLU endpoints integrated with enterprise helpdesks and active CRM pipelines.
Common Questions
Everything you need to know about our enterprise services.