Today, Samaya AI announces two milestones: the launch of the Agent Control Plane (ACP) — a new architecture for building personalized AI agents, and new investment from NVentures (NVIDIA's venture capital arm) and Databricks Ventures. 

Together, these milestones point to the future of how AI will serve investment professionals.

Investment professionals operate within deeply institutional contexts. Each firm has its own portfolio,  risk framework, and investment process, and each professional brings a differentiated perspective shaped by experience.

Many AI tools in finance today are built on general-purpose models. While effective at summarization or content generation, these systems often struggle to represent institutional context or support thesis-driven reasoning. In internal evaluations conducted with enterprise clients, generic LLMs achieved 53% accuracy on financial reasoning tasks, compared to 98% for Samaya.

The difference is structural. General-purpose models are not designed to reason about cause and effect across complex economic systems or to embed firm-specific context. When decisions involve second- and third-order impacts that limitation can mean the difference between finding the signal and missing it. 

Addressing these structural limitations requires a different kind of system. The Agent Control Plane (ACP) is a purpose-built architecture that enables the creation of personalized, long-horizon AI agents for financial services. ACP supports agent design, execution, and analysis through natural language instruction and live iteration,  supporting sophisticated workflows while maintaining full auditability.

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The ACP combines multiple AI breakthroughs pioneered by Samaya AI, including:

• The first integrated Planner, Long Horizon Executor, and Memory module
• A Reasoning module
• Context Management and Optimized Tools modules

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Samaya AI is pleased to welcome NVentures (NVIDIA’s venture capital arm) and Databricks Ventures as new investors. Their investment supports the continued development of the Agent Control Plane (ACP) and reflects shared conviction in the importance of verticalized approaches to AI agents in finance.