
Train ML models for 50% less
What they do: Decentralized, blockchain-enabled cloud and SDK for ML training and LLM fine-tuning
Claimed benefit: Reduces ML training costs (company claims up to 80%; snapshot states 50%)
Founded: July 2023
Team size (headcount): 5 employees
Latest disclosed funding: $2.8M pre-seed (announced 2024-03-19)
High cost and limited access to GPU compute for ML model training and fine-tuning.
2023
AI infrastructure
$2,800,000
Company announced a $2.8M pre-seed financing round with multiple participating investors
“Longhash Ventures, Inception Ventures, Protocol Labs, TRGC, L2 Iterative Venture (L2IV), Zero Knowledge Ventures, Fenbushi Capital, Quaker Capital (listed as participating investors in the announced pre-seed round)”