Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Effortlessly identify individuals and their postures straight away, with the ability to adjust settings for specific needs. You can also enhance functionality by incorporating your own AI models, whether utilizing TensorFlow Lite models sourced online or creating entirely new ones. This solution is also compatible with Google Coral, proving that developers can indeed have an aesthetic vision! The elegant design of Darcy Cam looks fantastic in both laboratory settings and everyday environments. Equipped with dual Coral AI accelerators and a video sensor, it supports multiple models for real-time efficiency. Establish various network configurations, including multi-cloud, hybrid cloud, and edge-to-edge setups, all with a single command and without the need for open ports, VPNs, or NAT tunnels. Manage all elements of your edge infrastructure directly from the Cloud, including tasks such as provisioning, deployment, orchestration, resource management, monitoring, and updates. Streamline operations by automating workflows integrated with your existing clouds, tools, and applications, while also ensuring seamless connectivity with your current infrastructure via OpenAPI. This comprehensive approach allows for maximum flexibility and efficiency in managing advanced AI capabilities.
Description
Xinity is a flexible open-source software for LLM inference that is compatible with OpenAI, allowing European businesses to deploy generative AI completely on their own infrastructure. The platform can be set up on current hardware and provides an API that aligns with OpenAI's standards, facilitating the transition of existing applications with just a simple alteration to the base URL. This approach eliminates reliance on cloud services, prevents data egress, and protects against the implications of the US CLOUD Act. The foundational engine is available as open source under the Apache 2.0 license and accommodates open-weight models, including those from European sovereign sources, while offering features such as automatic model routing, comprehensive audit trails for every inference request, role-based access control, and support for multi-node orchestration. Developed in Vienna, Austria, Xinity caters specifically to regulated sectors such as finance, healthcare, legal, public administration, and media, ensuring compatibility with fully air-gapped environments. Furthermore, it is meticulously designed to comply with GDPR and the EU AI Act, reinforcing its commitment to data privacy and regulatory adherence. This makes Xinity an ideal solution for organizations seeking to harness the power of generative AI while maintaining stringent control over their data and infrastructure.
API Access
Has API
Yes
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
Raspberry Pi OS
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Edgeworx
Founded
2017
Country
United States
Website
www.darcy.ai/
Vendor Details
Company Name
Xinity
Founded
2025
Country
Austria
Website
xinity.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