
Xference provides a private inference platform focused on making AI models reliable, rapid, and secure within an organization's own environment. Their core offering is an inference engine that bridges the gap between AI's potential and practical implementation, allowing organizations to deploy AI at enterprise scale with personalized requirements and complete data control. The platform supports seamless integration for users of all technical levels, emphasizing speed, flexibility, and security. Xference's key differentiators include unlimited capabilities in the inference process, full ownership of personal data with a dedicated server architecture, and unlimited scalability across any infrastructure or processor. They aim to deliver enterprise-grade AI performance with consumer-grade simplicity, orchestrating multimodal models and offering a no-code solution for intuitive integration.

Xference provides a private inference platform focused on making AI models reliable, rapid, and secure within an organization's own environment. Their core offering is an inference engine that bridges the gap between AI's potential and practical implementation, allowing organizations to deploy AI at enterprise scale with personalized requirements and complete data control. The platform supports seamless integration for users of all technical levels, emphasizing speed, flexibility, and security. Xference's key differentiators include unlimited capabilities in the inference process, full ownership of personal data with a dedicated server architecture, and unlimited scalability across any infrastructure or processor. They aim to deliver enterprise-grade AI performance with consumer-grade simplicity, orchestrating multimodal models and offering a no-code solution for intuitive integration.
What they do: Private inference platform for enterprise deployments emphasizing data sovereignty, speed, and security
Founded: January 2025 (Cagliari, Sardinia, Italy)
Product focus: No-code inference orchestration (on-premise and European data-center deployments)
Early team size: 7 employees
Funding: Seed-stage; total funding reported ~922,615 USD (last funding date 2025-07-01)
Bridging the gap between AI model capabilities and enterprise production deployment by providing private, scalable, and compliant inference infrastructure.
2025
Data and Analytics
922615 USD
“Identifies strategic/visionary backers and names Bastiano Sanna as a scientific and strategic advisor and investor”