Implement and operate LLMs efficiently and responsibly with GRACE LLM 2.0

GRACE LLM - implementation and operation of LLMs

On May 27, we unveiled a set of new capabilities in GRACE LLM. This latest version brings stronger performance, enhanced safety, and deeper visibility.

Below, you'll find highlights describing the new key capabilities—enabling organizations to deploy AI at scale wit control and confidence.

What’s New in
GRACE LLM 2.0?

Designed with enterprise needs in mind, GRACE LLM 2.0 introduces key innovations that empower teams to work more efficiently and securely with generative AI.

LLM Insights

Comprehensive analytics and monitoring for your LLMs. LLM Insights enables you to track time saved, workflows enhanced, and efficiencies gained—so you can make strategic decisions based on data, not assumptions.

Learn more about LLM Insights

LLM Guardrails

With LLM Guardrails our GRACE AI Platform provides real-time monitoring of model interactions. They help detect and manage sensitive data, enforce usage policies, and reduce the risks associated with open-ended AI use.

Enterprise Chat Applications

An intuitive chat interface designed to drive succesful adoption across your organization.

GRACE Chat Interface supports streamlined communication and productivity, making AI accessible for teams across departments.

LLM On-prem

Deploy GRACE LLM entirely within your own infrastructure. Our on-premise setup gives you full control over data and the highest level of security—helping you meet strict compliance requirements, adapt to evolving regulations, and respond to geopolitical shifts.

Coding Assistants

Integrated coding assistants seamlessly connect with your development environment to provide contextual support.

This feature accelerates software delivery while improving code quality and consistency enabling full control to keep your code private and secure.

Curious to know more about GRACE LLM?

Learn more here - or leave your contact details below, and we will connect to set up an introductory meeting.  

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