As seen on DataEthics4All, GumGum is a global technology and media company specializing in contextual intelligence. For over a decade, GumGum has applied our proven machine learning expertise to extract value from digital content for the advertising and sports industries.

As seen on DataEthics4All, Otter.ai creates technologies and products that make information from important voice conversations instantly accessible and actionable.

As seen on DataEthics4All, Kanverse Intelligent Document Processing (IDP) reduces document processing cycle time from hours to seconds, optimizes operations cost, and turbocharges productivity by freeing up staff from repetitive and manual tasks.

As seen on DataEthics4All, Cleareye's patent-pending Machine Teaching technologies deliver radically simplified human interactions while significantly improving efficiency and productivity across your organization.

DataEthics4All introduces IV.AI, a technology company that empowers organizations around the world to fix hard problems with the industry-leading AI platform. Join Walmart, Samsung, Disney, Netflix and +100 other leading organizations via IV.AI's team of AI experts who lead a

As seen on DataEthics4All, sophisticatedly forged ID documents are hard to detect by human eyes. ADVANCE ID Forgery Detection can solve such problems effectively.

As seen on DataEthics4All, using computer vision, deep learning, and semantic analysis, Appzen has built the world’s leading AI platform for modern finance teams.

As seen on DataEthics4All, AlphaSense is the leading market intelligence platform. AlphaSense helps business professionals make data-driven decisions with confidence. Tap into thousands of premium business data sources — indexed, searchable, and all in one place.

As seen on DataEthics4All, The mission of {igebra.ai}:math++  is to “Nurture Joyful, Smart & Intelligent kids who can dream more, learn more, do more and become more.”

As seen on DataEthics4All, Learnable’s SeDeM AI (Sequential Decision-Making AI) is designed and programmed to learn the deep logic behind each individual event and continuously self-update its learning through analyzing the difference between prediction and observation.