Gamerboom (GB), an AI-powered gaming data platform, has closed a $9 million funding round, pushing its total investment to $11 million. NVIDIA, Solana, and Bing Ventures participated in the round. The capital will fund expansion of the company's AI-driven solutions in the web3 gaming space.
Gamerboom's CEO, Zino, stated the funding will scale the company's gaming data solutions and open new opportunities for web3 gaming. The platform uses artificial intelligence to enhance data collection and labeling processes within traditional gaming environments.
Where AI Redefine Gaming
Train-to-earn model
Gamerboom operates as a data layer that integrates with web2 games. An AI tagging system collects in-game data while rewarding players for completing specific tasks. This gamifies the data labeling process, making it engaging and beneficial for players. The collected data trains Gamerboom's "Agent-as-a-Service" model, a system that improves AI-driven gaming solutions through a "train to earn" process.
The platform had registered 955,000 users as of two months ago, based on Gamerboom's documentation. This user base reflects growing interest in AI-powered gaming solutions that let players contribute valuable data while earning rewards.
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Future plans and roadmap
Gamerboom plans to introduce an entry portal that will let users create their own gaming agents. This expansion aligns with the broader trend of integrating AI capabilities within gaming ecosystems, allowing users to interact with intelligent virtual agents while contributing to AI model training. The company participated in the Binance Most Valuable Builder Program in Season 8, highlighting its recognition within the blockchain and AI-driven gaming sectors.
As artificial intelligence continues to advance, high-quality data remains essential for building effective AI models. Gamerboom's approach of incentivizing players to collect and label data represents a potentially significant development in gaming and AI training.
Gamerboom's Partners
Growing interest in gamified AI labeling
Gamerboom isn't alone in exploring the intersection of gaming and AI-driven data collection. In 2024, Sapien AI raised $5 million in its seed funding round, introducing a similar "gamified AI labeling" solution. The increasing investment in such models suggests growing interest in using gaming environments to generate high-quality datasets for AI training.
As demand for AI-driven applications continues to rise, companies like Gamerboom and Sapien AI are positioning themselves at the forefront of innovative data collection methods. By merging gaming with AI, these companies aim to create efficient and scalable solutions for training intelligent models.
