Edge Neo Competitors

Understand the Universe. We are a team of AI technologists and business leaders on a mission to build AI systems that can help humanity understand the world better. https://x.ai/careers

CognitiveScale pioneered the concept of ‘Trusted AI”, paving the way for responsible Enterprise AI development worldwide. Backed by 164 AI patents, the Cortex platform empowers data scientists and citizen developers to build, understand and analyze intelligent, transparent & trusted AI systems using any data, on any cloud. By simplifying the development, deployment and management of AI systems, CognitiveScale is revolutionizing how organizations across industries–healthcare, financial services, insurance and digital commerce– engage with customers, optimize services and deliver on bottom line goals—all while protecting them from business risk. Headquartered in Austin, Texas, CognitiveScale is recognized by the World Economic Forum for positively impacting business and society through AI with active investment from Norwest Venture Partners, Intel Capital, IBM Watson, M12 (Microsoft Ventures), and USAA.

Noldus Information Technology develops, markets, and supports innovative software, instruments, integrated systems, and services for behavioral research. These allow scientists and practitioners to enhance the quality of their data, to increase productivity, and to make optimal use of human or animal resources. Our solutions are designed to meet the needs of our customers, offering them the following key benefits: - Enhanced quality: Our advanced technology allows more accurate measurement of behavior, and therefore a higher quality of collected data. - Increased productivity: Automated systems replace manual work and allow people to do more in less time. - Optimal use of human resources: By letting computers do the tedious routine work, researchers and technicians can focus on more interesting tasks. - Optimal use of animal resources: Our technology allows behavioral measurements to take place under natural and animal-friendly circumstances, while continuous automated observation maximizes the amount of information collected per animal. These advances contribute to the refinement and reduction of laboratory animal testing.