Platform

One AI layer across enterprise knowledge and workflows.

ELONX AI combines customer-approved information, model capabilities, agents, and business integrations so AI can operate inside defined enterprise processes.

Knowledge & retrievalModel orchestrationAI agentsWorkflow integration
Illustrative layered enterprise AI platform architecture
Application, orchestration, data/model, and governance layers.
01

Knowledge & Retrieval

Connect approved project information, technical materials, operational records, and business documents to support retrieval, summarization, comparison, and context-aware analysis.

02

Model Orchestration

Integrate supported foundation models through cloud AI services and route model capabilities into applications according to workload and deployment requirements.

03

AI Agents

Configure specialized agents for bounded tasks such as analysis, retrieval, document processing, review support, and workflow coordination.

04

Workflow Integration

Connect customer-approved APIs, data sources, and operational tools so AI capabilities can be used in the context of real business processes.

Cloud AI

Foundation models as a backend capability.

ELONX AI integrates model capabilities into enterprise applications rather than operating an anonymous public chatbot. Supported cloud AI services, including Amazon Bedrock where used in a deployment, can provide model inference behind the application and workflow layer.

Application layerCustomer-facing business applications and authorized enterprise workflows.
Orchestration layerKnowledge, routing, agent logic, workflow boundaries, and application-level controls.
Model layerSupported cloud AI and foundation-model services selected for the deployment.
Platform pattern

Applications stay in control.

Knowledge, agents, routing, and model access sit behind the enterprise application boundary so each deployment can define its own users, integrations, and workflow controls.

From platform capability to customer workflow

See how the platform is applied to engineering, knowledge, document, and operational scenarios.