Our mission is to make neural network automation accessible to every engineering team on the planet.
NeurFly was founded in 2024 by Dr. Elena Volkov, following a decade of neural architecture research at MIT and DeepMind. The core insight was simple: the techniques that let top AI labs build world-class models — automated architecture search, differentiable optimization, hardware-aware compilation — were locked away behind academic papers and complex codebases inaccessible to most engineering teams.
Elena assembled a team of ML engineers and infrastructure experts who shared one conviction: that every engineering team deserves access to the tools that define the frontier of AI. NeurFly was built to bridge that gap — translating cutting-edge research into production-ready software any engineer can use.
Today, NeurFly's platform is used by engineering teams at companies ranging from fast-growing startups to established technology leaders. Our customers report 90% reductions in model development time and 300% improvements in training efficiency compared to building models manually.
NeurFly exists to remove the barriers that prevent most engineering teams from building production-quality neural networks.
World-class neural network automation should not be limited to organizations that can hire dozens of ML PhDs. NeurFly makes expert-level tooling available to every team.
Every feature in NeurFly is grounded in peer-reviewed research. We translate the latest advances in AutoML and neural architecture search into practical engineering tools.
Science requires reproducibility. Every experiment, every model, every result in NeurFly is fully tracked and reproducible — giving teams confidence in their AI systems.
NeurFly's $5.5M Seed Round reflects our investors' conviction that automated neural network design is one of the most important infrastructure problems in enterprise AI.
Accel Partners is a leading global venture capital firm with a portfolio spanning the most influential enterprise software companies of the past two decades. Their investment in NeurFly validates our thesis that AutoML will become foundational infrastructure for every engineering team building with AI.