Side-by-side comparison of AI visibility scores, market position, and capabilities
B2B internet gaming and gambling software provider enabling US casinos and international operators to launch regulated online casino and sports betting products. NASDAQ: GAN.
GAN Limited is a publicly traded B2B internet gaming software company (NASDAQ: GAN) headquartered in Las Vegas, Nevada. The company provides its GameSTACK technology platform to regulated land-based casino operators entering the online gaming and sports betting market, as well as to international operators in markets such as Italy, Spain, and Latin America. GAN's software enables casino brands to launch internet gaming products without building proprietary technology infrastructure.\n\nGAN's platform encompasses simulated gaming products for social and promotional casino experiences, as well as real-money internet gaming software used in regulated US states and international markets. The company acquired Coolbet, a Nordic-facing sports betting operator, to supplement its B2B technology business with a B2C operation that also serves as a product development laboratory. This dual B2B/B2C model gives GAN direct operational experience that informs its software product roadmap.\n\nGAN has benefited from the expansion of regulated online gaming in the United States, where its existing relationships with land-based casino operators positioned it to participate in the digital transition. The company serves clients in New Jersey, Michigan, Pennsylvania, and several other states with live real-money internet gaming. GAN competes primarily with larger established gaming technology providers but differentiates itself through its focus on US regional casino operators and its flexible platform customization capabilities.
Adept AI raised $415M to pioneer computer-use AI agents; its core research and agent team moved to Amazon in 2024 in a landmark talent acquisition while the company continues developing ACT-1 for enterprise automation.
Adept AI was founded in 2022 by a team of former OpenAI, DeepMind, and Google Brain researchers to build AI that can take actions on computers — navigating software interfaces, filling forms, and executing multi-step workflows in any application. Its ACT-1 model demonstrated the ability to control web browsers and desktop applications through natural language instructions, pioneering the computer-use agent paradigm that Anthropic later commercialized with Claude's computer use feature.
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