With vast amounts of unstructured images, video and text data on the web, it’s sometimes hard to fathom — as well as order into manageable units — all of it. For enterprises, this is a particularly important thing to do but a constant pain point.
To alleviate the stress, there are a growing number of startups that employ artificial intelligence (AI) and deep learning (DL) to turn the unstructured mess into structured insights.
Insights they can use to up the ante in their specific vertical and present as a winning formula in the boardroom.
Founded in 2013 by Matt Zeiler, Clarifai is a leading provider of AI for unstructured image, video, and text data. The company assists organizations transform their images, video, and text data into structured data significantly faster and more accurately than humans would be able to do on their own. Based in Wilmington, Delaware and in Tallinn, Estonia, Clarifai has been a market leader in AI since winning the top five places in image classification at the 2013 ImageNet Challenge.
Clarifai’s product solutions include an array of AI lifecycles as follows:
• Input data
Process any volume of unstructured image, video, text and audio data
• SCRIBE AI-Automated Data Labeling Platform
Label, train and deploy your AI models in one integrated tool
• SPACETIME AI-Powered Search Engine
Search for people, places, objects, and topics in your unstructured data
• ENLIGHT Custom AI Model Training for Machine Learning
Set up models quickly and continually learn from production data
• ARMADA PREDICT Machine Learning AI Prediction for Computer Vision, Natural Language Processing and Audio Recognition
MLOps and ModelOps to look inside your unstructured data at infinite scale
• MESH Machine Learning Workflows
Machine Learning pipeline architecture for advanced ensemble modelling and business logic
• FLARE EDGE COMPUTING Deploy edge AI to local devices, gateway devices, and servers
Gain real-world intelligence at the data source with edge AI
The applications in which the products can help enterprises are spread across diverse industries, but include aviation, digital asset management, manufacturing, and retail banking. Clarifai backs this claim up with specific, concrete use cases. And furthermore, in 2019 Clarifai was named a leader in Forrester’s New Wave Computer Vision Platforms report, the only startup to receive a differentiated rating.
Founder and CEO Matt Zeiler set up Clarifai shortly after completing his Ph.D. in Computer Science at New York University. Before that, however, he worked alongside renowned ML pioneers Geoff Hinton, Rob Fergus and Jeff Dean. This experience really cultivated Zeiler’s passion for convolutional and deconvolutional neural networks specifically and visual recognition generally.
Today, he works with some of the most brilliant people in the industry to simplify the complexities of image and video recognition and make it easily accessible to all.
To fire Clarifai’s development of the world’s best-published object recognition system, the startup has raised a total of $100 million in funding over four rounds. Clarifai’s latest funding, a $60-million Series C round in October of this year led by New Enterprise Associates, just goes to prove Clarifai’s expertise in deep neural networks and ML has investors excited.
For they should be.