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Playgent

Simulation environments for testing AI agents

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Playgent builds reinforcement learning environments for finance and banking, designed for post-training AI agents. It addresses the need for realistic simulated settings where agents can act, observe outcomes, and receive rewards, covering scenarios such as LBO returns analysis, earnings normalization, and M&A synergy analysis.

The platform provides tasks, verifiers, and environments curated through a network of finance experts who design verification rubrics and realistic scenarios. Agent performance is benchmarked across these expert-curated tasks, and the resulting data is delivered as production-ready RL environments for integration into training pipelines.

Playgent is intended for teams developing or improving AI agents for financial decision-making. Access is arranged by contacting the company to discuss a use case and obtain the environments.

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