Enterprise Knowledge Graph Services

Foundry
Neural AI
NexaStack
ElixirData
MetaSecure
Akira AI
XAI

Get Started

Interested in Solving your Challenges with XenonStack Team

Get Started

Get Started with your requirements and primary focus, that will help us to make your solution

First Name *

Last Name *

Business Email ID *

Contact Number *

Company *

Industry Belongs To *

Proceed Next

Interested in Solving your Challenges with XenonStack

Personalization

Get Started with your requirements and primary focus, that will help us to make your solution

In Which Agentic Platform and Accelerator you are Interested? *

Akira AI - Agentic AI Platform Multi Agent System

Metasecure - Autonomous SOC

Nexastack – Build and Managed Compound AI Stack

Data Foundry

XAI – Vision and AI Platform – Visual AI Agents

Strategy Consulting

AI Managed Services

Others (Please Specify)

Which segment does your company belong to? *

Startup

Scale Startup

SME

Mid Enterprises

Large Enterprises

Federal Government

Non Profits

Others (Please Specify)

What is your primary focus areas? *

Platform Engineering

Data and Analytics

AI Managed Services

AI Transformation

IT Operations Management

Supply Chain Management

Managed Services

Security Operations

Finance Operations

HR Service Delivery

Customer Service

Telecom Operations

Clinical Operations

Energy Management

Others (Please Specify)

At what stage is your AI use case currently in? *

Conceptualized: Use case defined, PoC pending

POC Completed

In Production with challenges

Not yet defined

Others (Please Specify)

What are the primary challenges in adopting AI? *

Data Quality Issues

Data Privacy and Compliance

Aligning AI with business goals

Unclear ROI from POCs

Integration with existing ERP systems

Scalability Challenges

Moving POCs in Production

Infrastructure Limitation

High Implementation costs

Others (Please Specify)

What kind of infrastructure does your organization currently using? *

AWS

Microsoft Azure

GCP

IBM Cloud

Oracle Cloud

On Premises

Others (Please Specify)

Are you using any Data platform? *

Databricks

SnowFlake

Amazon Redshift

Azure Synapse Analytics

Microsoft Fabric

Teradata

Oracle Database

SAP Hana

Informatica

Google Cloud BigQuery

Others (Please Specify)

Preferred Approach for AI Transformation *

Assisted Intelligence Agents as Co-Pilot

Collaborative Intelligence Agents as AI Teammates

Autonomous Intelligence Agents – AI Agents

Agentic Actions

Agentic Process Automation

In Which Domain your Solution/Organization belongs to in-terms of Data Privacy, Trustworthy AI *

Internal Organization

Highly Regulated Industry (Healthcare, Financials etc)

Medium Regulated

Non Regulated

Review Previous

Submit

your request has been submitted successfully !

Our XenonStack Team will shortly reach out to you. We are looking forward to showcase how XenonStack can transform your business.

Knowledge Graphs in Natural Language Processing

Deploying Entity-Event Knowledge Graphs to Empower Data-Driven Organizations.

Text Analytics Solutions

Text Analytics is the approach of converting unstructured text data into meaningful data for analysis and estimating customer views, product evaluations, and feedback

Graph Analytics

A knowledge graph utilized for analytics operates on ensuring informed predictions and decisions

Intelligence Governance

Analyze graphs and detect potentially vulnerable patterns symbolic of business opportunities

Enterprise Knowledge Graph Services

Enterprise Knowledge Graph Services to transform Data into Action.

Linguistic Analysis of Text

Document Data Extraction

Cluster Management

Automated Security and Compliance

Automated Operations

Linguistic Analysis of Text

Linguistic Analysis is used for information extraction, in which rules are defined to annotate our text data. It includes various annotations like Person, Organization, Location, Company, etc., which are used to extract essential features from text data.

Explore Further

Document Data Extraction

Using graph analytics and document extraction tools to enhance data structuring and integrate big data processing pipelines.

Explore Further

Cluster Management

Graph analytics-enabled abilities assist businesses to spot forgeries and unlawful movements, further strengthening governance.

Explore Further

Automated Security and Compliance

Enable continuous compliance checks and Real-time data monitoring abilities for enterprises.

Explore Further

Automated Operations

Enabling end-to-end managed automated delivery pipelines and data structuring capabilities.

Explore Further

Maximizing Knowledge Graph Efficiency through Advanced Language Models

Large language models enhance knowledge graph understanding, improve entity linking, and enrich semantic representations. They automate content generation, offer personalized insights, and streamline decision-making through predictive analytics, improving overall functionality and usability.

Delve Deeper

Cloud-based Knowledge Graph Services

Efficiently deploy and manage a Knowledge Graph on cloud platforms for scalable and accessible data organization and analysis.

Knowledge Graph on AWS

Deploying a Knowledge Graph on AWS offers scalable and reliable cloud infrastructure.

Deep Dive

Knowledge Graph on GCP

Running a Knowledge Graph on GCP provides access to Google's powerful data processing and analytics tools.

Deep Dive

Knowledge Graph on Azure

Utilizing Azure for a Knowledge Graph enables seamless integration with Microsoft services.

Deep Dive

Industrial Benefits

Knowledge graphs enable organizations to leverage data more effectively, make better-informed decisions, and drive innovation and efficiency.

Healthcare

Facilitate better patient care by organizing medical data, enabling more accurate diagnosis, treatment recommendations, and personalized healthcare plans.

Education

Enhance learning outcomes by providing structured access to educational resources, enabling personalized learning paths, and fostering collaboration among students and educators.

Finance

Improve risk assessment, fraud detection, and investment decisions by integrating and analyzing vast amounts of financial data, market trends, and customer information.

Retail

Optimize inventory management, customer segmentation, and marketing strategies by analyzing customer behavior, product preferences, and market trends.