“We’re Reaching the Limits of AI Compute,” Says CTGT CEO As Startup Raises $7.2M

While models such as DeepSeek R1 have introduced optimizations, they are still constrained by traditional deep learning approaches.
A decade ago, Cyril Gorlla was a teenager watching Google I/O, captivated by the early promises of artificial intelligence. With only an aging laptop at his disposal and a household that sometimes faced utility disconnections, he began experimenting with rudimentary machine-learning models. Fast forward to today, and he is the co-founder and CEO of CTGT, a startup tackling one of AI’s most pressing issues: the immense computational cost of training and deploying large-scale models. CTGT, which Gorlla started with his former classmate Trevor Tuttle, has secured $7.2 million in a funding round led by Gradient Ventures, Google’s AI-focused investment arm. The round also saw participation from General Catalyst, Y Combinator, and Liquid 2 Ventures, along with notable angel investors such
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Anshika Mathews
Anshika is the Senior Content Strategist for AIM Research. She holds a keen interest in technology and related policy-making and its impact on society. She can be reached at anshika.mathews@aimresearch.co
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