Halluminate

Halluminate builds reinforcement learning (RL) environments tailored for financial services, enabling AI developers to train frontier models on realistic computer and tool-use workflows. The platform focuses on economically valuable tasks in investment banking, private equity, and related domains. Backed by Y Combinator, Halluminate targets the intersection of AI training infrastructure and financial industry automation.

• RL Environments for Finance: Provides highly realistic simulated environments specifically designed for training AI models on financial workflows such as investment banking and private equity tasks.
• Computer & Tool Use Simulation: Simulates real-world computer interactions and tool usage so models can learn complex, multi-step financial processes.
• Frontier Model Training: Designed to support training of state-of-the-art large language and agent models on domain-specific, economically valuable tasks.
• Westworld Framework: Offers an open-source environment framework (Westworld) available on GitHub for developers building and customizing RL training scenarios.
• BrowserBench & Web Bench: Provides companion benchmarking tools (BrowserBench and Web Bench) to evaluate model performance on browser and web-based tasks.
• Y Combinator Backed: Supported by Y Combinator, signaling strong early-stage validation and access to a top-tier startup network.

To get started, visit halluminate.ai and reach out via the "Chat with us" scheduling link to discuss your use case. Developers can also explore the open-source Westworld repository on GitHub to experiment with the environment framework directly.