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Description
Our analytics are tailored specifically for applications related to connected vehicles and lifestyles. Agnik's innovative analytics platform, which combines both onboard and cloud-based intelligence, is complemented by a leading ecosystem of vertical-specific products and integrated monetization strategies. Vyncs™ serves as Agnik's service platform aimed at drivers, offering an extensive array of services that encompass thorough vehicle health monitoring, benefits from usage-based insurance programs, and various location-based offerings. The technology behind Vyncs™ is protected by patents, allowing it to transform vehicle data into actionable insights. VyncsLite™, on the other hand, is a B2B smartphone-based solution that facilitates real-time and offline analytics without the need for extra devices. By leveraging the sensor data from smartphones, it generates analytics applicable across numerous sectors, including insurance and location-based services, thus broadening its usability and appeal in the connected vehicle market. This dual-platform approach enhances the overall functionality and versatility of Agnik's offerings.
Description
Azure Percept is a user-friendly, all-encompassing platform designed to enhance security while developing edge AI solutions. You can initiate your proof of concept within minutes, thanks to hardware accelerators that effortlessly connect with Azure AI and Azure IoT services. Out of the box, Azure Percept is compatible with Azure Cognitive Services, Azure Machine Learning, and various other Azure offerings, providing real-time insights for both vision and audio applications. This end-to-end edge AI platform includes hardware accelerators that are integrated with Azure AI and IoT services, facilitating a smoother development process. With pre-built AI models and robust solution management tools, you can quickly kickstart your proof of concept. Built-in security features ensure that your edge AI solution safeguards your most sensitive and high-value assets. You can begin with a collection of pre-existing AI models tailored for vision tasks, such as object detection, shelf analytics, and vehicle analytics, as well as audio functions like voice control and anomaly detection. Additionally, you have the flexibility to customize AI model training without writing any code and to deploy your solutions either locally or in the cloud, thereby maximizing your implementation options. This versatility and ease of use make Azure Percept a compelling choice for organizations looking to harness the power of edge AI.
API Access
Has API
API Access
Has API
Integrations
Azure AI Services
Azure Industrial IoT
Azure IoT Central
Azure Machine Learning
Microsoft Azure
Integrations
Azure AI Services
Azure Industrial IoT
Azure IoT Central
Azure Machine Learning
Microsoft Azure
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Agnik
Founded
2004
Country
United States
Website
agnik.com
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/services/azure-percept/
Product Features
IoT Analytics
Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking
Product Features
IoT Analytics
Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking
