Alex Spears

causaLens Mimics Human Reasoning to Help Businesses Better Understand Cause and Effect

causaLens Mimics Human Reasoning to Help Businesses Better Understand Cause and Effect

casuaLens is a London-based startup infusing AI models with “Causal AI” which adds nuance, context, reasoning, and understanding of cause-and-effect relationships in AI systems — allowing them to better mimic human reasoning.

The Emotional Algorithm: Zenapse Deepens Our Understanding of Customers

The Emotional Algorithm: Zenapse Deepens Our Understanding of Customers

Zenapse, is a company shedding light on the role emotions play in consumer decision-making through a blend of artificial intelligence and consumer psychographics. Zenapse has developed a ‘Large Emotion Model’ that processes emotions, beliefs, and sentiment from interactions with 175 million consumers across over 4.5 billion data points.

Revolutionizing Legal Work: How Robin AI Accelerates Contract Review

Revolutionizing Legal Work: How Robin AI Accelerates Contract Review

Robin AI is a digital legal assistant powered by artificial intelligence designed to streamline the process of reviewing, negotiating, and querying contracts. Trained on over 4.5 million legal documents and 100 million legal clauses, Robin AI claims to enable attorneys to review contracts 80% faster.

Meet The Vertical AI Companies

Meet The Vertical AI Companies

Meet the 9 companies selected to participate in the LIFT Labs Vertical AI Accelerator.

Democratizing Creative Video Advertising: How Waymark’s AI Aims to Redefine the Industry

Democratizing Creative Video Advertising: How Waymark’s AI Aims to Redefine the Industry

Waymark is an AI-powered solution democratizing access to creative video ads. Waymark’s innovative video creation tool allows users to produce compelling commercials quickly and without the need for advanced editing skills.

The Future of AI in Business: Lessons from the LIFT Labs Spring 2023 Startup Accelerator

The Future of AI in Business: Lessons from the LIFT Labs Spring 2023 Startup Accelerator

Comcast NBCUniversal LIFT Labs connects startups with leaders across our business to develop long-term partnerships and explore emerging technologies, including AI. In 2023, we collaborated with promising startups through our accelerator program to learn more about developments in and applications for Generative AI. Here are some of the key insights we discovered:

Aragorn: Streamlining HR Integrations

Aragorn: Streamlining HR Integrations

Ed Adjei is a co-founder of a startup at the forefront of solving how to integrate these solutions. Adjei’s company is called Aragorn and it helps enterprises seamlessly sync HR information with vendor systems. For example, Aragorn could help integrate employee job performance and skill sets with a vendor that provides enhanced training.

Vertical AI Accelerator Info Session

Vertical AI Accelerator Info Session

Join Katie Teuber, Director of Startup Engagement at Comcast NBCUniversal, and Sarah Smith, Manager of Innovation and Partnerships at VentureFuel, as they deep dive into our unique four-week equity-free Accelerator. Our program is designed to connect enterprise-ready startups with Comcast NBCUniversal.

Unlock Partnership Opportunities with Comcast NBCUniversal: Apply to Our Vertical AI Accelerator

Unlock Partnership Opportunities with Comcast NBCUniversal: Apply to Our Vertical AI Accelerator

We are once again on the lookout for the next wave of groundbreaking artificial intelligence startups. We’re excited to announce that applications are open starting February 12 —March 10 for the Comcast NBCUniversal LIFT Labs Accelerator: Vertical AI. The program kicks off this Spring, running from April 29 – May 23.

Deci: Accelerating Deep Learning Model Creation

Deci: Accelerating Deep Learning Model Creation

Israeli startup Deci has emerged as an innovative solution to efficiently build computer vision, generative AI, and natural language processing applications. Deci’s advanced tools enable developers to create and run fast models on any hardware while lowering compute requirements, enhancing performance, and reducing time-to-market.

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