Products
Training and evaluating AI agents for deployment in the real world requires interactive environments where a model can act, make mistakes, and learn from feedback. GameLab turns Arkadium's live gameplay ecosystem, which includes 22 million monthly players across 100+ games, into the data, environments, and benchmarks that make iterative, interactive learning and evaluation possible.
Human Data
Our information-rich decision data is exactly what AI needs to up its cognitive potential. GameLab’s proprietary data comes from 22 million monthly players of our own games that we’ve created and hosted for decades.
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Bespoke Solutions
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 backward 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.
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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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Benchmarking
Our benchmarking goes deeper than specialized tasks and surface intelligence. We’ve created a new Cognitive Index Score to measure AI capabilities across eight brain functions.
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RL & Training
Our data and training environments have been crafted to support all model training workflows. Training with GameLab will improve your model, whether specialized or general, in areas you wouldn’t have expected.
Learn more >FAQ: High-Fidelity AI Data Solutions
Our AI training data services are built to address the specific challenges of frontier AI development, from benchmark saturation to data contamination. Explore the questions below to understand how GameLab's unique methodology ensures data integrity, strategic depth, and high-performance results for your models.
We produce structured, sequential records of human decision-making across a Multiverse of games. Our AI training data services include full-state game records, move-by-move decision trees, and outcome-based trajectories. This data is delivered in machine-readable formats (JSON/CSV) optimized for rapid integration into existing training pipelines.
- Reinforcement Learning with Verifiable Rewards (RLVR): Improving model reasoning capabilities based on game feedback.
- Fine-Tuning: Teaching models spatial reasoning, deductive logic, and long-term planning based on human gameplay data.
- Agentic Evaluation: Evaluate how autonomous agents handle multi-step reasoning tasks in non-perfect information environments.
Absolutely. Beyond our standard library, we offer bespoke AI training data services. We can design custom game environments or curate specific gameplay distributions, such as “edge case” scenarios or high-level expert play, to meet your specific research objectives.
Every data point is sourced from our private network of human players and never leaked to the open Internet. We then use automated checks and verification to filter out poor quality data.
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