Make smarter business decisions faster with our conversational assistant.
A company’s data lives in files, folders, and documents across its clouds and storage arrays. And while we back up, secure, and protect this data, the knowledge locked inside the data is actually more important than the data itself. Unlocking this knowledge across your enterprise can be time-consuming and expensive.
Cohesity Gaia delivers faster, simpler, and more cost effective data insights by bringing retrieval augmented generation (RAG) AI and large language models (LLMs) to your enterprise data.
Start having a conversation with your data. Using common language, ask questions about your data and dig deeper into your organization’s knowledge.
Get insights and generate answers to questions about your enterprise data. Cohesity Gaia uses RAG AI to give you more accurate answers.
Easily integrate with your enterprise data and infrastructure to create a secure and completely private AI assistant that can unlock the knowledge in your data.
Our natural language, generative AI capabilities harness the potential of your backup data to deliver meaningful insights and learnings.
Gain insights from your enterprise data with intuitive, AI-powered question and answer search experiences—all using your high-quality backup data within Cohesity.
Get up and running in minutes with a powerful turn-key AI solution, designed for effortless deployment, setup, and use. Save valuable time while keeping things simple. Unlock efficiency and ease with a solution that delivers instant results.
Seamlessly unite company knowledge, across multiple data types and locations. Empower your organization with a comprehensive, connected approach to harnessing valuable knowledge locked in your enterprise data.
Create searches using natural language to look for information in your data. Get summaries of your findings effortlessly, eliminating manual, time-consuming processes.
Use natural language to have Cohesity Gaia search through large amounts of data at any time, 24/7. Pull out relevant details, create summaries, and present the results in a way that’s easy to understand.
Capture the voice of your data using natural language queries and deep learning LLMs.
Keep your data safe with granular role-based access controls (RBAC). Help prevent users from accessing data they don’t have permissions for, like sensitive patient data, PII, trade secrets, financials, and more.
Create a visual map showing what’s in your dataset. Get query suggestions that will help you dig deeper into your data.
Harness the full potential of your data with our Gen AI technologies across data types and enterprise locations.
Unlock value from all your data sources. Cohesity Gaia works with a broad range of data types across various storage environments—both in the cloud and on-premises.
Cohesity Gaia can securely search a variety of documents and files—email, PDF, PPT, DOC, TXT, HTML, XML, and XLS—to extract knowledge and create summarizations.
Cohesity Gaia can securely connect to a variety of enterprise storage types, including Microsoft OneDrive and your NAS storage on-prem.
Use Cohesity Gaia as part of eDiscovery, cutting manual search and summarization activities from days or weeks to minutes.
Use Cohesity Gaia’s deep learning capabilities to analyze and summarize vast amounts of data to identify potential compliances risks.
Search, retrieve, and summarize years worth of documents in minutes with RAG AI.
Cohesity Gaia offers a trusted generative AI platform that enables organizations to quickly deliver AI assistance similar to ChatGPT, tailored to their own data, documents, and knowledge. Our serverless RAG as a service addresses key enterprise needs by reducing hallucinations, enforcing access control, supporting real-time knowledge updates, and mitigating IP and bias risks associated with large language models.
Cohesity Gaia will help enable our employees to search across all our enterprise data, whether in files, SharePoint, or One Drive to foster greater innovation for our business.
Generative AI uses algorithms to generate new content (written content, images, video, audio, and computer code, etc.) based on user input. Unlike earlier versions of AI, generative AI can create new content, like news articles, poetry, or cyber threat analyses, presented in a conversational UI.
Responsible AI is an approach to developing and deploying artificial intelligence (AI) from both an ethical and legal point of view. The goal of responsible AI is to employ AI in a safe, trustworthy, and ethical fashion.
Retrieval augmented generation (RAG) AI searches information from large datasets, and uses AI techniques to retrieve the most relevant results matching the intent of the user’s query.
Start your 30-day free trial or view one of our demos.
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