Cohere CompassCohere AI
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EZGenAIWavicle Data Solutions
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Related Products
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About
Cohere Compass is an intelligent enterprise search and discovery system that connects agents and models to business data, giving AI applications the context they need through powerful search and retrieval. It uses advanced extraction processes and AI-powered indexing to surface relevant information from enterprise documents with high accuracy. Compass is multimodal, multilingual, and format-agnostic, allowing it to understand images, slides, spreadsheets, PDFs, DOCX files, XLSX files, and other document types. It can connect to existing data sources or accept local document uploads, then automatically process, index, and manage that information without requiring teams to host or scale their own vector database. It is built on Cohere’s Embed and Rerank retrieval models and can support AI agents, retrieval-augmented generation applications, and unified enterprise knowledge search.
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About
EZGenAI is an enterprise-ready generative AI accelerator designed to help organizations rapidly deploy large language model applications while maintaining strong security, modularity, and minimal vendor lock-in. It provides pre-built use case modules such as intelligent chatbots for customer support, retrieval-augmented assistants for internal knowledge search, self-service analytics for querying enterprise data, and voice-of-customer analysis tools that extract insights from unstructured feedback. It features a modular architecture that allows teams to easily switch or upgrade underlying AI models and add new capabilities without rebuilding their entire technology stack. EZGenAI emphasizes enterprise-grade governance, ensuring that data remains isolated and is not used to train public models, while supporting compliance, auditability, and privacy requirements. It enables scalable deployment across business functions, improving knowledge sharing and productivity.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Developers, AI teams, and enterprises seeking to connect agents and applications to internal data through secure, scalable search and retrieval
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Audience
Data organizations that want to deploy secure, scalable generative AI applications across business workflows without complex infrastructure changes
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Not Supported
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Company InformationCohere AI
Founded: 2019
Canada
cohere.com/compass
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Company InformationWavicle Data Solutions
Founded: 2013
United States
wavicledata.com/capabilities/ai-solutions/ezgenai/
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Categories |
Categories |
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Integrations
GitHub
Supported
Gmail
Supported
Google Drive
Supported
Jira
Supported
Linear
Supported
Microsoft Exchange
Supported
Microsoft OneDrive
Supported
Microsoft Outlook
Supported
Microsoft SharePoint
Supported
Model Context Protocol (MCP)
Supported
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Integrations
GitHub
Not Supported
Gmail
Not Supported
Google Drive
Not Supported
Jira
Not Supported
Linear
Not Supported
Microsoft Exchange
Not Supported
Microsoft OneDrive
Not Supported
Microsoft Outlook
Not Supported
Microsoft SharePoint
Not Supported
Model Context Protocol (MCP)
Not Supported
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