Deploy intelligent agents powered by LLMs and advanced orchestration capabilities. Nexa for AI Agents enables businesses to launch virtual teammates for operations, support, and internal tasks—fast and at scale
Seamless Integration Across Systems
Enterprise-Grade Privacy and Controls
Adaptive Workflows with Human-AI Handover
Build intelligent agents that continuously learn, adapt, and optimize performance for dynamic enterprise environments
Run AI agents close to where data is generated, ensuring real-time responsiveness and efficiency
Enable frictionless connectivity with enterprise systems, applications, and workflows for scalable adoption
Develop self-sufficient agents capable of interpreting data, making strategic decisions, and executing actions in real time
This layer acts as the interface between users and the platform, facilitating intuitive access to AI-driven features. Built with modern frontend tools like React or Angular, it enables seamless user engagement, whether on web, desktop, or mobile environments
Responsible for executing core business rules and handling AI agent logic. It bridges frontend actions and backend systems, managing session states, context flow, and agent decision trees
Coordinates multiple AI agents working on interconnected tasks. It manages task delegation, communication protocols, and workflow pipelines to ensure agents operate in sync
Hosts and manages machine learning and deep learning models. It supports model versioning, A/B testing, and online inference to deliver accurate, context-aware responses. Continuous training pipelines ensure models stay updated with the latest data patterns
Handles structured and unstructured data storage, along with domain knowledge repositories. This layer ensures agents can retrieve insights, perform reasoning, and maintain context across sessions. Integration with data lakes, knowledge graphs, and vector databases enables smart retrieval
Functions as the command center, dynamically routing user intents to the right AI agent using intelligent workflows and fallback strategies—enabling contextual, accurate, and timely responses
Adapts prompts in real-time based on user queries and historical context. Improves LLM response relevance and quality by optimizing routes through multi-intent reasoning
Empowers continuous optimization with real-time observability. Tracks agent performance, user satisfaction, and operational efficiency for self-improving workflows
Enables ongoing improvement through real-time insights. Monitors key metrics like agent productivity, customer experience, and process efficiency to drive smarter, adaptive operations
Integrates structured and unstructured data sources using semantic search. Enables AI agents to retrieve updated answers from FAQs, documents, or articles—enhancing response depth and accuracy
Manages secure API interactions between agents and enterprise systems. Enforces authorization, tokenization, and encrypted exchanges to ensure data protection and compliance
Enhance reliability and performance with AI agents that optimize cloud operations securely and efficiently
Transform decision-making with AI agents that deliver precise, real-time insights while ensuring data privacy
Automate workflows across departments with intelligent agents built for scalability, compliance, and seamless execution
Redefine user and customer journeys with AI-driven personalization that respects privacy and builds trust