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QXLI | Enterprise Private AI Platform

QXLI helps organizations deploy private AI on their own infrastructure. It is designed for businesses with strict data privacy, IP protection, or compliance requirements where SaaS AI may not be suitable.

At a glance

Category
Productivity
Best for
Enterprise companies, Organizations with strict data sovereignty requirements, Regulated industries, Companies requiring on-premises AI infrastructure
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
Key use cases
Space-based Edge AI, Web3 Finance Operations, Cybersecurity Zero Trust, Regulated Data Processing
Official website
qxli.com
Screenshot of QXLI website

QXLI (Quick eXtensible Layered Intelligence) is a private AI platform that enables organizations to run agentic AI and retrieval-augmented generation (RAG) on their own hardware or private cloud. It is designed for environments where data sovereignty is a priority and data egress must be avoided.

The platform provides an integrated AI stack for buyers who may not have a large internal team of AI specialists. It uses a containerized architecture to support deployment on-premises or in private cloud environments.

The system includes a governed loop to help with citing sources, accessing governed data, and triggering policy-controlled tools. As part of the NVIDIA Inception Program, the platform leverages NVIDIA-optimized models and computing stacks.

Buyers should confirm that their existing infrastructure supports containerized deployments and evaluate if the agentic capabilities meet their specific workflow requirements.

Key Features

MCP-powered Agentic RAG

Combines retrieval-augmented generation with model context protocol to support autonomous enterprise operations.

Zero Trust Security Integration

Includes security frameworks designed to protect sensitive data within private environments.

On-premises and Private Cloud Deployment

Supports installation on customer-owned infrastructure to help ensure data does not leave the internal environment.

Multi-model Capabilities

Supports the use and fine-tuning of multiple large language models.

Role-based Access Control

Includes granular data governance and user permissions to manage access to AI functions.

Containerized Architecture

Uses a modular, containerized setup to support deployment on customer infrastructure.

Use Cases

Space-based Edge AI

Deployment on Jetson Orin platforms for AI operations in space environments.

Web3 Finance Operations

Supports CBDC and stablecoin treasury management, autonomous wallet operations, and liquidity provisioning.

Cybersecurity Zero Trust

Implementation of AI-enabled Zero Trust security using agentic blueprints.

Regulated Data Processing

Running AI workloads in environments where SaaS AI is not an option due to compliance or IP protection.

Best For

Enterprise companiesOrganizations with strict data sovereignty requirementsRegulated industriesCompanies requiring on-premises AI infrastructure

Pricing

Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.

FAQ

How does QXLI differ from SaaS AI tools?

QXLI is deployed on the customer's own infrastructure, meaning data stays within the organization's environment, which may help with IP protection and compliance.

Does QXLI require a specialized AI team for setup?

The platform is described as pre-configured and ready-to-deploy, which may reduce the need for a large, specialized AI team during initial setup.

Where can QXLI be deployed?

It can be deployed on-premises, in a private cloud, or on the Jetson Orin platform for edge AI use cases.

Source category: Productivity

Source subcategory: AI Agent Platform

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