Overview
Intelligent AI Framework to Accelerate Research Outcomes
Deploy tailored research copilots powered by LLMs and knowledge graphs. Nexa for Research enables secure, context-aware assistance across data analysis, documentation, and academic workflows
Secure and Compliant for Enterprise Research
Seamless Integration with Data Repositories
Adaptive Agents for Literature and Insight Discovery
How Nexa as Agentic Infrastructure Helps You Reinvent
AI agents automate data collection and interpretation, delivering faster, more accurate insights
Uncover patterns, generate hypotheses, and accelerate breakthroughs with intelligent research agents
Integrates easily with research platforms and workflows for smooth adoption
Enable independent reasoning, simulations, and decisions to drive innovation
Architecture Overview
Query & Exploration Layer
Enables researchers to input natural language questions, keywords, or hypotheses. This layer supports semantic search, contextual filtering, and smart expansion of queries to surface relevant, high-value information from multiple sources
Knowledge Retrieval & Aggregation Layer
Fetches data from structured databases, scientific repositories, internal research archives, and web sources. It uses hybrid retrieval methods—keyword, vector-based, and citation-aware—to deliver accurate and diverse content for deeper insight
Contextual Understanding Layer
Analyzes retrieved documents to extract key findings, arguments, metrics, and contradictions. It builds a contextual map around the topic, helping researchers connect ideas, understand trends, and identify knowledge gaps
Synthesis & Drafting Layer
Generates summaries, comparative analyses, literature reviews, and research drafts. Powered by large language models fine-tuned on academic and domain-specific texts, this layer aids in organizing thoughts, formulating frameworks, and articulating conclusions
Review & Knowledge Loop Layer
Captures researcher feedback, edits, and usage patterns to improve output quality over time. It supports citation generation, plagiarism checks, and version control, enabling iterative refinement and traceable research workflows
Core Components
Orchestrator
Agent Orchestrator
The Agent Orchestrator acts as the central intelligence unit of Nexa for research. It analyzes incoming queries and intelligently routes them to the appropriate AI sub-agents. This ensures accurate, timely responses that align with user intent and research objectives
Prompt Router
Visual Prompt Router
This component transforms research questions into well-structured prompts for the language model. By dynamically adjusting to context and use case, it improves response quality and consistency across all interactions within Nexa for research
Monitoring
Model Training and Inference
Continuous learning is key to performance. This layer monitors system outputs and user feedback to fine-tune models over time. Nexa for research evolves with usage patterns, reducing manual oversight and maintaining model accuracy
Ongoing learning drives better results. This layer analyzes outputs and feedback to refine models dynamically. Nexa for research adapts with user behavior, minimizing manual effort while preserving accuracy
Knowledge
Knowledge Graph and Search
By integrating with internal and external data sources, this module enables real-time access to verified information. With retrieval-augmented generation (RAG), Nexa for research can surface relevant documents, FAQs, and knowledge assets on demand
API Development
API Gateway and Security
Security and control are foundational to Nexa for research. The API Gateway manages user access, enforces authentication, validates requests, and logs all activities. This ensures secure, compliant, and auditable research operations at scale
Featured Blogs
Compliance and Privacy - Private AI Blueprint
CloudOps Reimagined
Drive Productivity with AgentSRE
Built using modern frontend frameworks like React or Angular and deployed within a secure internal network, it enables seamless access to dashboards and workflows
CloudOps Reimagined
Drive Productivity with AgentSRE
Built using modern frontend frameworks like React or Angular and deployed within a secure internal network, it enables seamless access to dashboards and workflows
CloudOps Reimagined
Drive Productivity with AgentSRE
Built using modern frontend frameworks like React or Angular and deployed within a secure internal network, it enables seamless access to dashboards and workflows
CloudOps Reimagined
Drive Productivity with AgentSRE
Built using modern frontend frameworks like React or Angular and deployed within a secure internal network, it enables seamless access to dashboards and workflows