Zymtrace

Zymtrace is a performance optimization company specializing in enhancing GPU and CPU performance through its innovative software solutions, designed to maximize efficiency and improve AI workloads. Zymtrace, founded in 2024 and headquartered in Wilmington, US, focuses on optimizing computational performance for AI infrastructures. The company has executed 2 deals to date and recently raised USD 3. 7 mn in a funding round led by Fly Ventures and Mango Capital, with participation from Entropy Industrial Capital.

The funding will support the company's product development and market expansion efforts. Zymtrace specializes in optimizing GPU and CPU performance through its innovative profiling software, which enhances AI workloads and maximizes processing efficiency. The core offering enables users to derive additional floating-point operations per second (FLOPs) from their existing infrastructure, thereby improving throughput, reducing latency, and lowering cost-per-token across inference fleets. The platform allows for detailed correlation of token-level performance metrics with CPU and GPU profiles, identifying bottlenecks in distributed training and operational inefficiencies such as AllReduce stalls and memory transfer saturation.

Zymtrace serves a diverse client base that includes organizations utilizing NVIDIA CUDA, AWS Inferentia, PyTorch, JAX, and Rust, focusing on technology hubs in North America, Europe, and parts of Asia. The product is designed for seamless deployment in on-premise environments, requiring minimal setup time. Zymtrace generates revenue primarily through its on-premise software licensing model, targeting businesses that require high-performance AI infrastructure optimization. Transactions typically involve direct sales to corporate clients who subscribe to the services, which may include the flagship Zymtrace agent for profiling both CPU and GPU workloads.

Clients benefit from continuous production profiling without the need for code modifications, facilitating easy integration into existing systems. The specific pricing structure includes various tiers depending on the scale of deployment, enabling organizations to select the appropriate plan based on their operational needs. This direct-to-business model allows Zymtrace to cater specifically to enterprises aiming to enhance their AI capabilities and reduce operational costs across their computing environments. In March 2026, Zymtrace raised USD 3.

7 mn in pre-seed funding co-led by Fly Ventures and Mango Capital, with participation from Entropy Industrial Capital. The company plans to utilize this funding to strengthen its product offerings and support market expansion into new regions and sectors, with specific targets in North America and Europe by the end of the fiscal year. Upcoming product enhancements are in development to further optimize AI workloads, although specific release dates have not yet been disclosed.