LONDON: AI optimization startup Inephany Ltd has raised $2.2 million in a pre-seed funding round, aiming to transform how neural networks—including Large Language Models (LLMs)—are trained and fine-tuned.
The round was led by Amadeus Capital Partners, with participation from Sure Valley Ventures (SVV) and AI pioneer Professor Steve Young, who joins Inephany as an angel investor and chairman. The investment was made through the Sure Valley Ventures UK Software Technology Fund (SVV2), in which AI-focused investment firm Mindflair plc holds a stake.
As generative AI advances, the computing and energy costs of training state-of-the-art models have become a significant challenge. Inephany seeks to address this issue with an AI-driven optimization system that enhances efficiency, accelerates training, improves model performance, and lowers computing costs—all in real-time.
Initially focused on optimizing training for LLMs, Inephany’s technology has broader applications across AI, including recurrent neural networks for financial forecasting and convolutional neural networks for autonomous systems. The company also plans to expand its optimization approach to inference-time computing, reducing costs for deploying AI models.
Nicholas Lee, director of Mindflair plc, welcomed Inephany to the firm’s AI-focused investment portfolio, stating, “Generative AI is at the forefront of the AI landscape, and it is very exciting to have a company like Inephany leading the charge in optimization.”
With this funding, Inephany aims to accelerate innovation and democratize access to advanced AI capabilities across industries.