Inephany develops an AI-driven optimisation system designed to control neural network training in real time to improve sample efficiency, accelerate training, and reduce compute costs. The company says its approach can be at least ten times more cost-effective than traditional training methods and aims to cut both cost and development time for advanced models. Inephany plans to deliver its first products later this year and to onboard its first enterprise customers. The startup intends to use new funding to expand its engineering team and advance its optimisation platform. Founded in July 2024 by Dr John Torr, Hami Bahraynian, and Maurice von Sturm, the company is positioning itself to address rising training costs for models like GPT-4 and next-generation models whose training expenses have been estimated in the article between tens of millions up to roughly $1 billion. The headquarters is in London.

Total raised

$2M

Funding rounds

1

Latest round

Seed

Latest activity

Apr 2025