
Daisytuner
An AI co-pilot for high-performance code generation, optimizing numerical simulations, AI, and edge computing via data-centric analysis.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor | €0.0 | round |
* | €1.1m | Seed | |
Total Funding | 000k |
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Founded in 2024 and headquartered in Wetzlar, Germany, Daisytuner provides a platform that integrates performance analysis and benchmarking directly into software development CI/CD pipelines. The company targets development teams, offering tools to detect code bottlenecks and performance regressions with every commit.
Daisytuner's service operates by combining profiling data with performance models to provide developers with insights on code efficiency and hardware utilization. The platform allows for benchmarking on a variety of processors, including ARM, x86, GPUs, and other accelerators, or users can connect their own hardware. It offers performance reports on each commit through a one-click integration with GitHub, helping teams identify performance issues early in the development cycle. Key features include detailed metrics on cache misses, DRAM bandwidth, and FLOP counters, as well as analyses of scalability, peak performance, and energy efficiency.
The business model appears to be SaaS-based, with a free tier that includes a limited number of benchmarking minutes and storage, with options to upgrade for more resources. In May 2025, the company announced it had secured $1.1 million in a pre-seed funding round to enhance its technology and expand its integrations.
Keywords: performance analysis, continuous benchmarking, CI/CD integration, code optimization, performance regression testing, GPU benchmarking, hardware utilization, AI compiler, energy efficiency analysis, software performance