Inephany raises $2.2M to automate and optimise AI model training
Summary
Compared to traditional brute force approaches that rely on exhaustive trial-and-error optimisations, Inephanys technology dramatically improves sample efficiency, accelerates training, reduces overall development time, and enhances final model performance all while slashing compute costs. By slashing the cost and compute burden of training and deploying these models, the Inephany team aims to democratise access to advanced AI and accelerate innovation across industries.Founded in July 2024 by Dr John Torr (formerly of Apple Siris machine learning team), Hami Bahraynian, and Maurice von Sturm (co-founders of conversational AI startup Wluper), Inephany brings together deep technical expertise in neural network optimisation. The funding will be used to grow the core engineering team, advance its optimisation platform, and onboard its first enterprise customers.Professor Steve Young, renowned for his foundational contributions to speech recognition and dialogue systems including key work behind Apples Siri joins as chair to help guide the companys next phase of growth.John Torr, CEO at Inephany, said: We are thrilled to be backed by such experienced investors, and having a seasoned entrepreneur and AI pioneer like Professor Steve Young as our chair is a true privilege. Their innovative approach to automating and optimising neural network training has the potential to reduce costs by an order of magnitude and accelerate advancements across AI applications. The groundbreaking new approach being developed by Inephany marks a step change in neural model training technology and I am delighted to join the team as chair and investor.For more startup news, check out the other articles on the website, and subscribe to the magazine for free.