Empowering Enterprise with AINOX
Secure, Scalable, Ready for Real Business
Empowering Enterprise
with AINOX
Secure, Scalable, Ready for Real Business
AINOX is an enterprise AI platform on AWS designed for secure, real-world AI adoption. Unlike generic AI tools, AINOX focuses on governance, data security, and workflow integration — keeping all data within the customer's AWS environment. The platform delivers value through Enterprise Knowledge Management, smart document processing, and RAG-based information retrieval, with enterprise-grade scalability and the ability to integrate with existing business systems, helping organizations move from pilots to production faster than competing solutions.
Features
Powerful Foundation for Secure and Scalable AI Adoption
Solutions
How AINOX Delivers Business-Ready AI
Infrastructure
What We Provide — AWS Services
Amazon RDS
Allows businesses to easily set up, operate, and scale relational databases in the cloud. It manages routine database tasks such as backups, patching, and scaling, so teams can focus on application development.
Amazon EKS
Allows businesses to run and manage Kubernetes clusters on AWS. It simplifies container orchestration by handling cluster management, security, and scalability for containerized applications.
Amazon OpenSearch Service
Allows businesses to search, analyze, and visualize large volumes of data in near real time. It is commonly used for log analytics, monitoring, and full-text search use cases.
Amazon ElastiCache
Allows businesses to deploy in-memory data stores such as Redis and Memcached. It improves application performance by enabling fast data access for caching, session storage, and real-time analytics.
Amazon Bedrock
Allows businesses to build generative AI applications using pre-trained models. It simplifies the integration of advanced AI capabilities into your products.
Architecture
Core Technologies
The AINOX running on EKS orchestrates the end-to-end workflow by applying business logic, constructing prompts, and coordinating interactions between backend data services and generative AI models. To enrich AI responses with relevant context, the application retrieves data from multiple sources: Amazon RDS for structured and transactional data, Amazon ElastiCache for low-latency session and cache data, and Amazon OpenSearch Service for search, analytics, and vector-based semantic retrieval.
Once contextual data is assembled, the application securely submits prompts to Amazon Bedrock, which provides access to pre-trained foundation models for generating AI responses. By leveraging Amazon Bedrock, the solution avoids the operational complexity of managing AI models while enabling advanced generative AI capabilities.
Generated responses are returned to the application for optional post-processing before being delivered to end users. Throughout the workflow, system logs, metrics, and AI interaction data are continuously collected and stored in Amazon OpenSearch Service, enabling observability, performance monitoring, and auditability.
Industries
Our Customer Industry Verticals
Get Started
Experience AINOX on AWS or request a demo to see how AI-powered engagement drives real business impact.
