Worlds

Worlds

Offering spatial models that enable clients to remotely observe, analyze and learn from their physical environments in ways that have never been possible before. Learn more

Financials

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Revenues, earnings & profits over time
USD202120222023
Revenues3.4m4.7m6.8m
% growth-38 %44 %
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Worlds.io is a cutting-edge startup specializing in artificial intelligence (AI) solutions tailored for real-world applications. The company operates in the AI and machine learning market, focusing on enterprises looking to leverage data to enhance their operational efficiency and decision-making processes. Worlds.io serves a diverse range of clients, including leading corporations that are part of the exclusive Microsoft Pegasus Program.

The core offering of Worlds.io is its AI platform, WorldsNQ, which simplifies the process of training AI models. This platform is designed to remove the barriers typically associated with AI model training, making it more accessible for businesses to implement AI-driven automation. By contextualizing data in space and time, Worlds.io enables enterprises to unlock their full potential, providing them with actionable insights that drive growth and efficiency.

Worlds.io's business model revolves around a subscription-based service, where clients pay for access to the WorldsNQ platform and its suite of AI tools. Additionally, the company offers customized AI solutions and consulting services, generating revenue through these tailored engagements. By partnering with industry giants like Microsoft, Worlds.io not only enhances its credibility but also expands its market reach.

In summary, Worlds.io is revolutionizing the way businesses utilize AI by offering an intuitive platform that simplifies AI model training and implementation. The company's focus on real-world applications and strategic partnerships positions it as a leader in the AI industry.

Keywords: AI solutions, machine learning, WorldsNQ, enterprise data, Microsoft Pegasus, automation, real-world AI, subscription service, consulting, data contextualization.

Tech stack

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