Ferret

Ferret

Apple
+
+

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About

Aware transforms digital conversation data from Slack, Teams, Zoom, and more into real-time insights that uncover risk and deliver organizational intelligence, at scale. Digital conversations exist in every corner of your organization. Real-time collaboration is the new workflow, and social connections, for your employees, and the fastest-growing dataset in your business. This unstructured dataset has its own language and emotions. Authentic, impulsive, consumer-like messages are composed, edited, and delivered in 5 words or less. Filled with emojis, abbreviations, and multimedia messages in private, direct, and public channels across countless collaboration platforms. Traditional technology doesn’t understand the context of the nuanced dataset and unique behavior. Aware makes sense of this data, surfacing costly, unforeseen risks, and revealing insights that unlock innovation and business value. Aware brings contextualized intelligence to your business, at scale.

About

An End-to-End MLLM that Accept Any-Form Referring and Ground Anything in Response. Ferret Model - Hybrid Region Representation + Spatial-aware Visual Sampler enable fine-grained and open-vocabulary referring and grounding in MLLM. GRIT Dataset (~1.1M) - A Large-scale, Hierarchical, Robust ground-and-refer instruction tuning dataset. Ferret-Bench - A multimodal evaluation benchmark that jointly requires Referring/Grounding, Semantics, Knowledge, and Reasoning.

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

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

Audience

Organizations seeking a tool to consolidate and unify their data to gain real-time context for smarter decisions

Audience

AI and LLM developers

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

Free
Open source
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Aware
United States
www.awarehq.com

Company Information

Apple
Founded: 1976
United States
github.com/apple/ml-ferret

Alternatives

Alternatives

Qwen3.5-Omni

Qwen3.5-Omni

Alibaba
Interachat

Interachat

Interasoul
Qwen3.7-Plus

Qwen3.7-Plus

Alibaba
MiniMax M3

MiniMax M3

MiniMax

Categories

Risk Management Supported

Categories

AI Models Supported
Multimodal Models Supported

Integrations

Azure Marketplace Supported
Cisco Webex Supported
Google Drive Supported
Microsoft 365 Supported
Microsoft Teams Supported
Pocus Supported
Slack Supported
WorkJam Supported
Workplace from Meta Supported
Zoom Supported

Integrations

Azure Marketplace Not Supported
Cisco Webex Not Supported
Google Drive Not Supported
Microsoft 365 Not Supported
Microsoft Teams Not Supported
Pocus Not Supported
Slack Not Supported
WorkJam Not Supported
Workplace from Meta Not Supported
Zoom Not Supported
Claim Aware and update features and information
Claim Aware and update features and information
Claim Ferret and update features and information
Claim Ferret and update features and information