- In collaboration with Red Hat, EnterpriseWeb will present an optimized solution for ontology-driven multi-agent autonomous networking at the upcoming Mobile World Congress in Barcelona
- EnterpriseWeb’s harmonized, standards-based Telecom Ontology provides a multi- cloud, multi-domain abstraction over infrastructure using Red Hat OpenShift AI
- EnterpriseWeb securely exposes a unified network view to LangGraph agents, which leverage the ontology for shared context, policies and memory to coordinate, optimize and control their actions for Telco-grade agentic AI
EnterpriseWeb, is a New York based software company. It offers a Telecom solution, Netwrx.ai for intent-based orchestration and autonomous networking.
The company has a long history of collaboration with Red Hat that goes back to its first ETSI NFV proof-of-concept. The company’s no-code platform utilizes Red Hat Enterprise Linux and is enabled on Red Hat OpenShift as a validated cloud-native function (CNF) and certified Red Hat OpenShift Operator. It runs on Red Hat’s lightweight Java framework, Quarkus and features optimizations with Red Hat OpenShift AI, Red Hat Ansible Automation Platform, Prometheus and Grafana, as well as IBM’s Granite, Terraform and Cassandra.
Better Together!
The two companies have highly complementary offerings. EnterpriseWeb is an application layer solution for end-to-end NetOps automation, while Red Hat is the world’s leading provider of enterprise open source solutions, enabling network and infrastructure management for hybrid and multi-cloud deployments. Using Red Hat Ansible Automation Platform and Red Hat OpenShift AI, EnterpriseWeb delivers the ability to self-scale, self- heal and self-optimize networks with strong governance.
“For autonomous networking to succeed, agentic AI requires end-to-end visibility of multi-domain services in order to optimize network and infrastructure – that’s where EnterpriseWeb comes in”, stated Shujaur Mufti, Director, Global Telco Ecosystem Architecture at Red Hat. “We are pleased to support EnterpriseWeb’s Telecom Ontology with Red Hat OpenShift AI to provide a unified, standards-based network model for deterministically reasoning across domains and environments, which is key to accurate, explainable and trusted AI.”
“We’re always happy to push the envelope with our friends at Red Hat and are excited to demonstrate how we leverage and extend Red Hat OpenShift AI’s rich agent and model management capabilities,” Dave Duggal, CEO of EnterpriseWeb explained. “Our platform provides no-code declarative agent design, and its ontology acts as a knowledge plane providing shared operational context, policies and workflows ‘as-a-Service’ for multi-agent coordination.”
Demo: Ontology-driven multi-domain, multi-agent level 4/5 autonomous networking
At MWC, EnterpriseWeb will present how EnterpriseWeb’s Telecom Ontology, deployed on Red Hat OpenShift , can immediately improve Granite language model inference quality and support causal reasoning (“why” not just “what”) to optimize intent-based orchestration, root cause analysis and agentic AI.
Abstract: GenAI and agentic AI are accelerating the realization of autonomous networking’s promise. However, production deployments have been limited due to challenges with accuracy, explainability and trust. EnterpriseWeb’s harmonized, standards-based Telecom Ontology provides a multi-vendor, multi-domain, multi-cloud abstraction over infrastructure using Red Hat’s OpenShift. EnterpriseWeb enables dynamic and contextual agent and model routing decisions, which it implements with Red Hat’s llm-d. In the demo, EnterpriseWeb’s ontology enriches and deterministically validates Granite language model inferences to optimize and control multi-agent behavior for Telco-grade agentic AI. In turn, EnterpriseWeb leverages Granite to provide a secure natural language interface with LangGraph agents, through TM Forum OpenAPIs, so agents can query inventory and order new services.
Demo Scenario: A developer uses a CLI-based natural language interface with the EnterpriseWeb system to generate a LangGraph agent for deploying and managing network services which will be hosted on an Red Hat OpenShift cluster.
Demo Use Case: The Network Service is a Secure 5G Gateway using Linux Foundation’s Aether Stack for 5G Core and Kamailio IMS. EnterpriseWeb exposes a catalog of tools to Agents, including its platform services, as well as objects representing federated components, like Red Hat Ansible Automation Platform. In this use case, the agents call an EnterpriseWeb platform service to deploy the 5G Core, and invoke a trusted Ansible Playbook, via Red Hat Ansible Automation Platform, to deploy the IMS. The presentation features integrations with Snowflake’s AI Data Cloud and ServiceNow incident management.
Demo Workflow: The developer will be guided through the configuration of the agent, this will include its security model, an advanced LLM Router optimizing the use of a Granite 4- nano LM for basic conversation and a Granite 4 Enterprise-grade LM for operations, and integration with the EnterpriseWeb platform for domain knowledge and automation capabilities. The agent will then be automatically compiled by EnterpriseWeb into a Red Hat OpenShift Operator and deployed to the Red Hat OpenShift cluster for its LCM. The remainder of the demo will show the use of the agent to query the network, deploy a new network service and perform RCA on a simulated fault in an existing service.
Specifically, the demonstration will show:
- Rapid declarative design of LangGraph agents, which are configured with network personas (Service Manager, Network Manager, Resource Manager, etc.) and domain scope (RAN, Core, Transport, Infrastructure, etc.) with permission- controlled access to network information in Snowflake AI Data Cloud through EnterpriseWeb’s secure AI Gateway. The no-code design of a Coordination Agent, which supports end-to-end, multi-domain orchestration across the set of domain-specific agents. Link to Demo #1
- Natural Language interaction with agents to “Talk to the Network” to query the network and service health, as well as order and manage new services with continuous service assurance and optimization. Link to Demo #2
- Event-prediction and detection with root cause analysis and AIOps for autonomous networking which leverage Granite LLM as well as Graph Data Science algorithms. EnterpriseWeb provides detailed logs and traces of all agent activity, as well as the ability to interrogate agent performances via dynamically and contextually generated Semantic Views in Snowflake. Red Hat Ansible Automation Platform serves as the trusted execution layer, delivering governed remediation through automated job and workflow execution to bridge the gap from insight to action. Link to Demo #3
About EnterpriseWeb®
EnterpriseWeb is a New York-based software company that offers an award-winning no- code platform for real-time, enterprise-grade, contextual automation. Developers can “talk to the platform” to design, deploy and manage services. Platform agents translate developer intent into action; they leverage an Ontology (i.e., graph connected domain model), rather than a Language Model, to deterministically interpret events and request, evaluate conditions, contextualize decisions and optimize actions. EnterpriseWeb is a Telecom virtualization and automation pioneer. The company ran ETSI NFV Proof-of- Concept #1, led a series of award-winning TMF catalysts, and was the first to demonstrate “Telco-grade Generative AI” in collaboration with Microsoft. Netwrx.ai is the company’s solution for intent-based orchestration and autonomous networking. Netwrx.ai includes a harmonized, standards-based Telecom Ontology which provides shared domain concepts, metadata and state to enable a unified network view, end-to-end automation and virtually- centralized policy control. For more information or to arrange a presentation email: info@enterpriseweb.com
Blog: EnterpriseWeb is the ultimate backend for AI
Webinar/Demo: Context-as-a-Service for Telco-grade AI (with Snowflake Agentic demo)
Analysys Mason interview: Agentic AI: How telecoms operators can advance towards autonomous operations
Webinar/Demo: The Telecom Ontology: The Missing Links for Level 4 Autonomous Networking
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