Nexa for Chatbots offers ready-to-deploy solutions powered by LLMs, intelligent fallback flows, and human handoff support. Accelerate time-to-value by launching support bots, HR assistants, and lead-generation agents with enterprise-grade reliability
Deploy Nexa Chatbots Responsibly, Anywhere
Deploy Nexa Chatbots Responsibly, Anywhere
Smart Scheduling with Context-Aware Orchestration
Craft natural, dynamic chatbot interactions with adaptive tone, smart branching logic, and personalized user intent detection for better outcomes
Enable scalable, low-latency chatbot performance on both edge and cloud infrastructure—optimized for real-time engagement
From finance to healthcare, Nexa for Chatbots adapts to diverse domains, offering seamless platform integration with APIs and enterprise systems
Equip chatbots with AI-driven decision engines to handle complex queries, recommend actions, and improve continuously through self-learning loops
Enables users to interact with chatbots through web, mobile, or messaging platforms. This layer supports multilingual inputs, natural language understanding (NLU), voice-to-text, and adaptive UI components to ensure smooth and intuitive user experiences
Handles conversation flow, context tracking, and user intent mapping. It ensures bots can manage multi-turn dialogues, switch topics seamlessly, and recall past interactions for personalized and context-aware communication
Connects chatbot intents with backend systems and services. This layer maps user requests to actionable functions—like booking, updating records, or fetching data—while managing API calls, business logic, and workflow triggers
Powered by transformer-based models and custom NLU engines, this layer processes user inputs, detects intent, extracts entities, and generates coherent, goal-oriented responses. It supports fine-tuned models specific to enterprise domains
Captures chat logs, feedback signals, and performance metrics to improve chatbot behavior over time. It enables supervised fine-tuning, reinforcement learning from human feedback (RLHF), and automated dialogue quality assessment
Acts as the intelligent control layer of the chatbot. It routes user queries to the appropriate sub-agent using intent recognition, fallback logic, or escalation workflows—ensuring accurate and real-time responses
Structures and directs prompts to LLMs in a context-aware manner. Enhances response quality by dynamically assembling and routing prompts for consistency and clarity across multiple use cases
Supports automated workflows with AI agents and visual AI integration. This enables self-sustaining models that continuously improve efficiency, accuracy, and responsiveness in real-world scenarios
Enables AI-driven workflows through automated agents and visual AI. Powers self-learning systems that enhance operational speed, precision, and adaptability in real-time environments
Connects the chatbot to enterprise knowledge bases using retrieval-augmented generation (RAG). Enables accurate, real-time answers by referencing internal documentation, FAQs, and support content
Functions as the secure access layer for all chatbot communications. It handles authentication, request validation, rate limits, and logging—ensuring protection of APIs and sensitive data across environments
Whether on your desktop, tablet, or smartphone, Nexa chatbots are accessible across all devices
Choose from industry-specific templates or design your own to accelerate deployment
Rest easy knowing that your data is securely stored in the cloud. Access your information from any device, anytime
Ensure complete control over your data with fine-grained permission settings, audit trails, and compliance-ready workflows
AI continuously monitors systems for risks before they escalate. It correlates signals across logs, metrics, and traces. This ensures faster detection, fewer incidents, and stronger reliability
AI converts camera feeds into instant situational awareness. It detects unusual motion and unsafe behavior in real time. Long hours of video become searchable and summarized instantly
Your data stack becomes intelligent and conversational. Agents surface insights, detect anomalies, and explain trends. Move from dashboards to autonomous, always-on analytics
Agents identify recurring failures and performance issues. They trigger workflows that resolve common problems automatically. Your infrastructure evolves into a self-healing environment
AI continuously checks controls and compliance posture. It detects misconfigurations and risks before they escalate. Evidence collection becomes automatic and audit-ready
Financial and procurement workflows become proactive and insight-driven. Agents monitor spend, vendors, and contracts in real time. Approvals and sourcing decisions become faster and smarter