
Inephany trains AI agents to optimize neural networks and LLMs with unparalleled efficiency, boosting performance, reducing costs, and accelerating innovation. Their industry-first optimizer delivers more capable models faster while saving compute, energy, and money. The company's approach enables customers to train more capable AI models with less data and compute by providing substantial boosts in sample efficiency, leading to significant performance gains and training-time speed-ups. Inephany aims to address the escalating costs and energy consumption associated with training large AI models, projecting a significant market for AI models by 2027.

Inephany trains AI agents to optimize neural networks and LLMs with unparalleled efficiency, boosting performance, reducing costs, and accelerating innovation. Their industry-first optimizer delivers more capable models faster while saving compute, energy, and money. The company's approach enables customers to train more capable AI models with less data and compute by providing substantial boosts in sample efficiency, leading to significant performance gains and training-time speed-ups. Inephany aims to address the escalating costs and energy consumption associated with training large AI models, projecting a significant market for AI models by 2027.
What they do: Train AI agents/optimisers to improve efficiency of neural networks and LLMs (sample efficiency, reduced compute/costs)
Headquarters: London, United Kingdom
Founded: 2024
Recent funding: Pre-seed / seed announced Apr 16, 2025 (~$2.2M); lead: Amadeus Capital Partners
Efficiency and optimisation for neural network and LLM training and serving
2024
Data and Analytics
$2.2M
Reported lead investor with participation from Sure Valley Ventures and angel investor Steve Young
“Participation from Amadeus Capital Partners, Sure Valley Ventures, and angel investor Steve Young; awarded AWS cloud credits (participation in AWS GenAI Accelerator)”