Oodles AI designs and builds intelligent chatbots using modern NLP frameworks, large language models, and scalable backend architectures to automate conversations and enhance customer engagement.
Chatbot development focuses on building conversational systems that understand user intent, manage dialogue context, and generate accurate responses. These systems combine NLP pipelines, intent classification, entity extraction, and language models to deliver reliable automated conversations across digital channels.
Chatbot Architecture Using NLP and API Integration
Enable continuous conversational support through AI-driven chatbots.
Built on cloud-ready services to handle high conversation volumes.
Maintain dialogue history for accurate multi-turn interactions.
Deploy chatbots across web, mobile apps, and messaging platforms.
Monitor intents, fallback rates, and response accuracy.
Role-based access, encrypted APIs, and secure data handling.
A streamlined, iterative workflow to deliver robust chatbots tailored to your needs.
1
Analyze requirements, define intents, and map user journeys.
2
Create conversation flows and build MVP with NLP integration.
3
Implement AI models, APIs, and multi-channel support.
4
Conduct QA, measure performance, and refine based on feedback.
5
Launch with continuous analytics and updates for evolving needs.
Understand user queries using tokenization, embeddings, and classifiers.
Generate contextual responses using transformer-based language models.
Persist dialogue state for coherent multi-turn conversations.
Enable voice-enabled chatbots using speech-to-text and text-to-speech.
Combine retrieval systems with generative models for accurate answers.
Route unresolved conversations to human agents seamlessly.