Products

Valen Sentinel is an influencer marketing compliance and campaign management platform built for brands running paid sponsorship campaigns. FTC penalties hit $53,088 per violation in 2026. Most brands have no process for checking sponsored content before it goes live. Valen Sentinel fixes this. FTC Compliance Checker Paste any YouTube URL and get a compliance score in under 2 minutes. Flags disclosure timing, placement and caption violations with exact fixes. Every audit is saved automatical

Elevator Information Total Solution & Technology is a specialized consulting service dedicated to optimizing elevator and escalator operations through comprehensive information management and technological integration. By leveraging advanced analytics and monitoring systems, this service enhances the efficiency, safety, and reliability of vertical transportation systems in various building environments. Key Features and Functionality: - Comprehensive Monitoring: Provides real-time oversigh

Averlon is an AI-powered cloud security platform designed to help organizations proactively identify, prioritize, and remediate security risks within their cloud environments. By leveraging advanced artificial intelligence, Averlon streamlines the detection of vulnerabilities, misconfigurations, and potential attack vectors, enabling security teams to focus on the most critical threats and respond swiftly. This approach not only enhances the overall security posture but also reduces the complexi

McGaw.io is a marketing technology and analytics agency dedicated to helping businesses optimize their marketing operations and drive revenue growth. With decades of experience in the MarTech space, McGaw.io specializes in building and implementing data-driven strategies that enhance the entire user journey, from lead generation to customer retention. Their expertise lies in creating systematic and predictable lead generation processes, designing personalized customer experiences, and leveraging

Every Second are the creators of EVE AI, the trendintelligence algorythm who combines exclusive data from governments, market and social research to find and predict pre-trends. Every Second have their own trendstrategists who are working all over the world to advise and implement trends in fast-lane strategies, concepts and campagins.

PAXAFE's CONTXT platform is an AI-enabled, device-agnostic risk management solution designed to enhance supply chain visibility and efficiency. By contextualizing both active and passive visibility data, CONTXT quantifies risk and predicts on-time, in-full (OTIF) adverse events, enabling shippers and service providers to proactively address potential issues.

Riley is an innovative parenting app designed to empower parents with personalized, data-driven guidance throughout their child's early development. By integrating expert advice, predictive tracking tools, and tailored support, Riley simplifies the complexities of parenting, ensuring that caregivers are well-equipped to handle every milestone with confidence.

Kleos is an agentic influencer-marketing platform that turns creators into predictable revenue. It handles creator sourcing from a database of millions, creator CRM, gifting, and affiliate campaigns in one system, with ROI attribution per creator and campaign. Built for DTC brands, ecommerce, and agencies running creator programs.

Enterprise Data Xchange (EDX) Smart Building Platform controls, manages, and monitors millions of data points from HVAC, lighting, refrigeration, industrial and consumer facing machines to do smart things. EDX enables enterprise-wide visibility providing predictions, actions and insights that help maximize comfort and savings.

Spot by NetApp is the 'easy button' for CloudOps teams. Predictive analytics and automation provides insights, guidance and advanced scaling for cloud infrastructure, continuously optimizing cost, utilization and availability of cloud compute resources. This eliminates the burden of manually managing infrastructure while delivering up to 90% savings.

It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of different classes. The model predicts classes including the additional class for background. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of different classes. The model predicts classes including the additional class for background. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of different classes. The model predicts classes including the additional class for background. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of different classes. The model predicts classes including the additional class for background. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of different classes. The model predicts classes including the additional class for background. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of different classes. The model predicts classes including the additional class for background. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of different classes. The model predicts classes including the additional class for background. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of different classes. The model predicts classes including the additional class for background. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of different classes. The model predicts classes including the additional class for background. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of different classes. The model predicts classes including the additional class for background. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.