Mindbreeze Recognized as a Notable Vendor in Forrester's "The Cognitive Search Platforms Landscape, Q3 2023"
In case you missed it, Mindbreeze was included in Forrester's "The Cognitive Search Platforms Landscape, Q3 2023!
The report published by Forrester, a leading research and advisory firm, provides an overview of 20 cognitive search vendors.
Download the full report today
Mindbreeze is recognized as a notable vendor with the following self-reported extended use cases:
- Compliance & risk management
- Customer 360 and customer understanding
A Note from Mindbreeze CEO, Daniel Fallmann
Mindbreeze is honored to be included in the Cognitive Search Platforms Landscape, Q3 2023 Forrester Report. Having a holistic and effective 360-degree view of corporate information to understand their customers and business processes is a top priority for organizations. Additionally, these systems must account for data compliance and risk management to protect company assets and sensitive information. In recent years, companies have been flocking towards enterprise-safe large language models that utilize generative AI to provide insights to the workforce. Integrating these language models into a secure cognitive search platform has introduced immense value to corporations worldwide looking to access information faster and more efficiently. Being recognized alongside the other vendors in this report confirms for us the great work of our people and the functionalities of our product.
Interested in learning more about Mindbreeze’s inclusion?
Latest Blogs
How AI Helps People and Businesses Find Answers More Quickly
The way we search for information is undergoing a profound transformation happening faster than anyone expected.
What Makes a Good RAG Solution? How Mindbreeze Sets the Gold Standard for Enterprise AI
If you’ve read an article or a newsletter in the AI community, you’ve probably heard of the phrase Retrieval-Augmented Generation, also known as RAG. RAG has emerged as a transformative technology, blending the power of language models with relevant, real-time information retrieval.