Bespoke Solutions
We design games around your research and data needs, capturing the exact human decisions, behaviors, and cognitive signals that advance your research. We then generate data at massive scale through our network of 22 million real human players.
GameLab’s Bespoke Datasets offering enables the creation of entirely new games designed with data capture in mind. Rather than relying solely on existing environments, we work backwards from the research objective, identifying the specific behaviors, decision points, or cognitive patterns that need to be studied, and build engaging game mechanics that naturally elicit those signals during gameplay. The result is a purpose-built environment where every interaction contributes to a structured, high-value dataset.
What makes this approach powerful is the ability to deploy these experiences directly into our live player ecosystem, where millions of users can immediately interact with the game. This allows for rapid data generation at scale while maintaining a high-quality player experience. By combining thoughtful game design with large-scale distribution, GameLab enables partners to generate novel datasets that are both scientifically meaningful and grounded in real human behavior.
GameLab creates new game experiences for our partners tailored to capture specific behaviors and signals, enabling rapid collection of high-quality, large-scale datasets from real players.
GameLab’s World Models focus on learning the underlying dynamics of interactive environments, how states evolve, how actions impact outcomes, and how future scenarios unfold. By modeling these dynamics, AI systems can simulate potential futures, reason about consequences, and plan actions over extended time horizons.
These models are grounded in real gameplay data and environments, allowing them to capture both the rules of the system and the patterns of human behavior within it. This enables more effective planning and decision-making, particularly in scenarios involving uncertainty, delayed rewards, and complex strategy, areas where traditional models often struggle.
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Environments
We offer a wide array of training environments - our own spaces where AI can safely train and transform its capability. From strategy to spatial to reasoning up to reinforcement learning with human feedback.
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RL & Training
Open models, Vision Language Models, Language Models or World Models - our data is multimodal and our training environments have been crafted to support them all. Training with Gamelab will improve your model, whether specialized or general, in areas you wouldn’t have expected.
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