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What is Viso Now?

Viso Now is a web-based platform focused on computer vision, allowing users to create and implement vision applications by utilizing prompts or video inputs. Users are able to specify particular scenes, events, or conditions for monitoring, and the platform helps generate vision agents that evaluate the footage, identify pertinent activities, and share insights with connected tools. It includes a variety of templates tailored for applications such as workplace safety audits, quality assurance processes, queue management, equipment oversight, and operational evaluations. Users are also empowered to modify agent guidelines and outputs, review results via dashboards, and integrate their setups with cameras, video archives, cloud storage, and alert systems. Targeting teams in operations, safety, quality assurance, engineering, AI, and systems integration, Viso Now allows for the prototyping and execution of visual monitoring strategies without requiring labeled datasets or custom training for models. A complimentary plan offers daily credits, while premium subscriptions increase usage quotas and introduce more collaborative features, making it suitable for diverse organizational demands. This adaptability enables teams to swiftly customize the platform to align with their specific monitoring needs, enhancing overall operational efficiency. By leveraging Viso Now, organizations can significantly improve their approach to visual data analysis and management.

What is Numina?

Numina conducts a comprehensive analysis of activities at the curb level. By gathering data in an anonymous and aggregated manner, the system yields valuable insights into pedestrian and vehicular traffic volume, their movement patterns, and overall dynamics on city streets. This information plays a crucial role in evaluating traffic safety, environmental considerations, and operational performance within urban infrastructure. Moreover, Numina aspires to establish a data utility that converts streets into a resource for developers. With privacy as a fundamental principle, Numina's design incorporates onboard computing in its sensors to process data while eliminating any identifiable images, resulting in datasets that prioritize anonymity and security. It distinguishes itself as the only computer vision sensor system specifically designed for urban settings, constructed from the ground up to provide insights without sacrificing privacy. While many stakeholders strive to build more livable communities, reaching a consensus on the most effective strategies often proves challenging. A variety of approaches are available for improving neighborhoods, and we are committed to helping cities identify the most effective solutions in a timely and equitable manner through a data-driven approach. Ultimately, our goal is to equip urban planners with the essential information to cultivate dynamic and inclusive public spaces that cater to the needs of all residents. Through this commitment, we aim to foster communities that not only thrive but also embrace diversity and accessibility.

Media

No images available

Media

Integrations Supported

Integrations Supported

Mathstral

API Availability

Has API

API Availability

Pricing Information

$25/month
A free plan includes daily credits. The Pro plan starts at $25 per month; higher-tier plans offer additional capacity and team features.
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

viso.ai

Date Founded

2014

Company Location

Switzerland

Company Website

viso.ai/viso-now/

Company Facts

Organization Name

Numina

Date Founded

2014

Company Location

United States

Company Website

numina.co

Categories and Features

Computer Vision

Not specified

Categories and Features

Computer Vision

Not specified

People Counting

Not specified

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