Gensyn is building a decentralised machine learning compute protocol that acts as the rails upon which AI models can train on any compute device in the word.
As demand for machine intelligence explodes, and machine and human intelligence continue to fuse, we require a world where compute for AI systems is as accessible as oxygen is for humans. This has triggered a scramble for the hardware that enables AI model training – namely, GPUs. AI developers now face a systemic shortage of devices, leading to high prices, poor access, and – ultimately – huge headwinds for AI progress.
Gensyn is building a decentralised machine learning compute protocol that acts as the rails upon which AI models can train on any compute device in the word. This provides developers with near limitless access to compute at the fair market price. Gensyn achieves this by building permissionless networking software which schedules ML training across a global array of devices, cryptographically verifies the results, and facilitates payment.
Previously cofounder of a data privacy / sovereignty startup. Holds a PhD in Neural
Architecture Search for Deep Learning and Computer Vision.
Founded at Entrepreneur First
Pre-seed ($1.1 million) co-led by 7percent & Counterview capital
Seed ($6.5 million) led by Eden Block
Series A ($43 million) led by a16z crypto