Best-in-class deep learning platform to gain insights into your image, video, text content: Clarifai

Over two decades, enterprise resource planning (ERP) software has helped companies from all major industries successfully manage every aspect of their business. With time, as the business environment grew more complex, the software application gave way to a new generation AI ERP system that offers companies advantages of advanced automation, ease of operations handling, and intelligent analytics. Growing recognition for AI-enabled ERP systems is noticed among organizations due to the excessive buildup of business complexity. Combined with other such problems, it drains significant amounts of resources that could be otherwise utilized to support innovations and growth. Founded in 2013 by Matthew Zeiler, a foremost expert in machine learning, Clarifai has been a market leader since winning the top five places in image classification at the ImageNet 2013 competition. In 2019, Clarifai was named a leader in Forrester’s New Wave Computer Vision Platforms report, the only startup to receive a differentiated rating. Clarifai offers a leading platform for building AI-powered software solutions. Clarifai supports the full AI development lifecycle; including dataset preparation, model training and deployment. Clarifai specializes in deep learning models used for understanding unstructured image, video, text and audio data. They help both public sector and enterprise customers solve complex use cases through object classification, detection, tracking, geolocation, visual search and natural language processing. Clarifai offers on-premise, cloud, and bare-metal deployments.

Get the most complete picture of your digital assets

Whether you’re looking to filter out NSFW images, screen for copy infringement, or flag profane videos, Clarifai’s automated content moderation solutions filter out unwanted content 100x faster than human moderators and with greater accuracy. Categorize your content using popular taxonomies like GARM. Recognize images or videos containing illegal or banned content. Detect toxic, obscene, racist, or threatening language. Flag adult and explicit sexual content.  Identify illegal drugs, crime and violence. Safeguard your brand with AI that works across all your content. Monitor advertising spots for brand integrity using brand safety floor taxonomies like GARM. Easily identify content that poses a threat to your brand. Screen for harmful or low quality content in images, videos, audio clips, logo and more. Review text content faster with AI. Monitor product or service reviews, customer chat logs, and social media posts to identify and remove content that could impact your brand and offend your customers. Computer vision models alone cannot provide the full picture without analyzing the text within those images. Combining computer vision to classify images, OCR to extract image text, and NLP for text classification, you can reduce the risk of posting toxic, offensive, and suggestive content.

Intelligence, surveillance, and reconnaissance (ISR) functions are principal elements of U.S. defense capabilities, and include a wide variety of systems for acquiring and processing information needed by national security decision makers and military commanders. ISR systems range in size from hand-held devices to satellites. ISR systems collect and process insights from unstructured data. These insights are used to support lighting fast information transfer for making quick decisions in the field. Together they address the need to turn around insights from downstream sources without the need to send the information to a command center for collection and processing. AI automation speeds video footage review by 100x which reduces the amount of analysts needed and shortens the time to get actionable insights for quick decision making in the field. Computer Vision and AI platforms play a key role in ISR for their ability to classify, detect, and track objects in images and video.

Deep learning AI lifecycle platform

With AI-powered automated metadata generation, improve cataloging descriptions and asset searchability. Build intelligent searches based on objects, people, color, emotions, and even demographic characteristics. With rich metadata tagging, gain visibility into understanding not just what’s in assets, but also how it’s used, where it’s used, who’s viewing it, and their relationships to each other. With a single AI platform, you can build and train custom AI models at scale and set up workflows to manage your metadata generation process. Metadata is the key to unlocking the value of your data. It's a way to create a complete picture of data and understand it in its entirety. It typically contains a description of the data and provides important context, so that it can be used for multiple use cases. Improve product category search results with richer AI-automated metadata. Assign more descriptive and meaningful keywords more accurately than the human eye could to identify. Online retailers have the ability to classify and segregate product details into searchable terms to make it faster for shoppers to find what they’re looking for. Use Clarifai’s General Model to recognize over 11,000 different concepts including objects, themes, moods, and more.

Meet the leader behind the success of Clarifai

Matt Zeiler, CEO & Founder has worked alongside renowned machine learning pioneers Geoff Hinton, Rob Fergus, Yann LeCun and Jeff Dean. This experience cultivated his passion for convolutional and deconvolutional neural networks and visual recognition. Matt's unprecedented knowledge and know-how in deep learning landed him winning the top five places in image classification at the ImageNet 2013 competition. Matt received his undergraduate degree at University of Toronto and a Ph.D. in machine learning and image recognition from New York University.

“Process any volume of unstructured image, video, text and audio data. Use AI to index your data as its added.”