Daisytuner
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About us
Daisytuner

A world where progress can run at full speed.

Where every machine runs at its best, so progress never slows down. Born from research at ETH Zurich and RWTH Aachen, we automate the performance engineering that used to be rewritten for every new chip.

The Situation

The world is hungry for more.

More questions, more answers, more intelligence. Every new model asks more of the compute it runs on.
The Problem

Most machines run at a fraction of what they can.

Most models never deliver what they could. Most watts vanish into warm air. And the chips that could change it all are locked out.
The Mission

More from every model, every chip, every watt.

We are here to demand more. Daisytuner compiles your code for any processor and optimizes it for performance, so every machine runs at its best and progress never slows down.

The people building the mission.

Compiler, HPC and systems engineers from ETH Zurich, RWTH Aachen, TU Munich, TU Darmstadt and beyond.

The founders
The team
  • Sebastian DanielChief of Staff

    Leads key accounts, investor relations and organization.

    Key accounts, investors and organization.

  • Dr. Nora HagmeyerVice President of Software

    Leads software development and auto-tuning at Daisytuner, turning performance optimization research into a reliable product that works for real-world applications and hardware.

    Leads software development and auto-tuning.

  • Ramon WirschFounding Compiler Engineer

    Develops the core of our compiler, from how it represents and transforms code to building the infrastructure that makes adding support for new chips easier.

    Develops the core of our compiler.

  • Ramon WirschFounding Compiler EngineerDevelops the core of our compiler, from how it represents and transforms code to building the infrastructure that makes adding support for new chips easier.
  • Dr. Sebastian KreutzerCompiler EngineerAnalyzes how software performs, makes our performance measurements reliable, and brings performance insights into our autotuning and AI-assisted development tools.
  • Moritz TimmerCompiler EngineerConnects Daisytuner to frameworks like PyTorch and LLVM, so we can optimize real applications without breaking them into disconnected pieces.
  • Salma Kharrat, PhDMachine Learning EngineerDevelops the self-learning capabilities of Daisytuner, making the optimization process measurable, transparent, and continuously improvable.
  • Dr. Jawad TahirDistributed Systems EngineerBuilds the backend and infrastructure that keep our optimization platform reliable and scalable, from running jobs to managing data and deploying the service.
  • Washim NeupaneSolutions EngineerConnects Daisytuner to real-world AI applications, helping customers integrate it into their workflows and bringing support for new chips and hardware architectures.
  • Tal Ben-Nun, PhDScientific AdvisorStaff Scientist at LLNL and ACM Gordon Bell Prize recipient working on ML-driven compilation.
  • Tim RippergerFounder's AssociateDrives go-to-market, partnerships and the Daisytuner brand.
  • This could be youWe're hiring. See our open positions.
We're hiring →
The board

Strategic Commercial Board

Operators from leading AI infrastructure companies.

  • Elias Schneider
    Elias SchneiderFounder & CEO, Codesphere
  • Dr. Andreas Nauerz
    Dr. Andreas NauerzCPO & Executive Board, IONOS · formerly IBM

Backed by

Angel InvestAngel investor network
Inari VCVenture Capital
Auke van UrkFounding Partner, NUVIA
Thomas AndraeManaging Partner, Linden Capital
Mario GötzeWorld Champion, Angel Investor
Sara SchneiderAngel Investor
Jessica HolzbachAngel Investor
Hans-Jürgen SchmidtkeAngel Investor
Martin GeierAngel Investor
Jens BenattiVP Corporate IT, ZEISS Group
Nick SchleichAngel Investor
Ricardo JimenezAngel Investor

Help build a world where progress runs at full speed.

We're hiring engineers who want to work on compilers, HPC, and next-generation hardware. Remote-friendly from Darmstadt, Germany.

View Open Positions