Inephany funding news – London-based Inephany Secures $2.2Million in Pre-Seed Funding

The round was led by Amadeus Capital Partners, with support from AI-focused VC Sure Valley Ventures and renowned AI expert Professor Steve Young, who also joins as chair and angel investor.

Inephany is currently focused on improving the training process for LLMs, but its tech can also be used in other AI areas like financial forecasting and computer vision for self-driving vehicles.

Read also - EcoDataCenter funding news – EcoDataCenter Secures €450 Million in Funding

The funds will help Inephany expand its core engineering team, improve its optimisation platform, and bring on its first enterprise clients.

The company also plans to expand into optimising AI model performance during inference (when models make predictions), aiming to cut costs and make advanced AI tools more accessible across industries.

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. Current approaches to training LLMs and other neural networks are extremely wasteful across multiple dimensions. Our unique solution tackles this inefficiency head-on, with the potential to radically reduce both the cost and time required to train and optimise state-of-the-art models. As we prepare to deliver our first products later this year, we are incredibly excited to embark on the next chapter of our journey—and to help shape the ongoing AI revolution by transforming AI optimisation.” 

Amelia Armour, Partner at Amadeus Capital Partners said: “We very much look forward to backing John, Hami, and Maurice as they tackle key efficiency challenges in current AI training. 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. If rolled out at scale, the impact of this on what models can deliver will be very substantial.”

Professor Steve Young, said: “As the use of AI spreads ever wider, moving beyond the traditional applications of speech, language and vision into new and diverse areas such as weather prediction, healthcare, drug discovery and materials design, the need for very efficient training of accurate neural models is becoming critical.  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.”

About Inephany

Founded in July 2024 by Dr John Torr, Hami Bahraynian, and Maurice von Sturm, Inephany combines strong technical expertise in optimising neural networks to make AI models more efficient and accessible.