CTGT Secures $7.2M to Accelerate AI Model Deployment

CTGT has raised $7.2 million in an oversubscribed seed round to advance its platform for customizing, training, and deploying AI models, announced in a press release. The platform, based on research from the University of California San Diego, claims to be up to 500 times faster than current methods.

The funding round was led by Gradient, Google's early-stage AI fund, with participation from General Catalyst, Y Combinator, and several notable angel investors. This investment will be used to accelerate product development and expand sales and marketing efforts.

CTGT's technology allows enterprises to scale AI deployments and run advanced models on devices like smartphones. It also offers the ability to automatically refine and retrain models in production environments, addressing issues such as hallucinations and data leakage without taking models offline.

Founded in mid-2024 by Cyril Gorlla and Trevor Tuttle, CTGT is already collaborating with a Fortune 10 company and other enterprise clients to enhance AI safety and deployment. The company's approach aims to overcome the current limits of AI compute, enabling more efficient and accurate AI model performance.