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ease
features
design
support

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Description

Antares represents a suite of open-weight security small language models specifically designed to identify existing vulnerabilities within extensive codebases. With models like Antares-350M and Antares-1B, organizations can operate them locally or on-site, allowing for the protection of proprietary source code while also minimizing both inference costs and runtime. The process begins with a description of the vulnerability, an advisory, or a CWE category, where the model engages in a step-by-step investigation akin to that of a human analyst, systematically searching for pertinent code patterns, examining potential files, assimilating new information, and altering its approach when certain avenues prove unfruitful. This strategy enables the model to focus its efforts on the files that are most likely to harbor the identified weaknesses. Ultimately, Antares generates a prioritized list of potentially vulnerable source files along with the detailed exploration trail that led to these findings, facilitating easier review and prioritization for teams. Moreover, this capability not only streamlines the vulnerability assessment process but also enhances the overall security posture of the development environment.

Description

Arcee AI is an open intelligence lab based in the United States that focuses on developing advanced, open-weight AI models. It is dedicated to creating high-performance AI systems that are both scalable and accessible to developers and enterprises. The company’s Trinity model family showcases its ability to deliver frontier-level reasoning capabilities with transparent architectures. Arcee AI leverages techniques such as online reinforcement learning to enable continuous model improvement even after deployment. Its models are designed to handle complex tasks, multi-step reasoning, and agent-based workflows. The company emphasizes cost efficiency, ensuring that organizations can access powerful AI without the high expenses typically associated with cutting-edge models. Arcee AI also provides APIs, documentation, and tools that support seamless integration into various applications. Its open-weight approach allows developers to customize and deploy models according to their specific needs. The platform is built to support a wide range of industries, including research, enterprise automation, and AI development. Ultimately, Arcee AI is focused on democratizing access to advanced AI technologies while maintaining performance and scalability.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Arcee-SuperNova No 

Integrations

Arcee-SuperNova Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Cisco

Founded

1984

Country

United States

Website

blogs.cisco.com/ai/introducing-antares-the-most-efficient-open-weight-ai-models-for-vulnerability-localization

Vendor Details

Company Name

Arcee AI

Founded

2023

Country

United States

Website

www.arcee.ai/

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

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