Introducing Ceramic.ai 

I've spent the last 20 years building search engines as well as advising hundreds of AI startups during my time at Gradient. Through it all, one thing has become painfully clear: the gap between what's possible with AI and what most companies can actually implement is enormous.

That's why I started Ceramic.ai.

After a year of building in stealth with an incredible team, we're launching today with a simple mission: to make AI training infrastructure fast and efficient enough that any company – not just tech giants – can build models tailored to their business needs.

The Enterprise AI Infrastructure Challenge

AI is no longer optional – it’s the next competitive frontier. But despite a projected $143 billion investment by 2027, 74% of enterprises report struggling to extract value from AI. Why? Because while tech giants build their own powerful AI infrastructure, most companies hit a wall: slow training speeds, high costs, and infrastructure that wasn’t built for today’s scale and today’s applications. 

NVIDIA’s Jensen Huang recently said, "Frontier models are like fresh college grads." To that I add – very capable but knowing nothing about your business. To be truly valuable, AI models must be fine-tuned for your specific needs. But training these custom models has remained out of reach for most organizations. 

That’s where Ceramic.ai steps in.

Our Technological Breakthrough

At Ceramic.ai, we've rebuilt the AI training infrastructure from the ground up. Our team has re-imagined the mathematical foundations, network protocols, and computational boundaries, unlocking a new level of AI model performance.

Key capabilities include:

• Unparalleled Efficiency: Our platform delivers up to 2.5x higher efficiency than open-source stacks on Nvidia GPUs, dramatically cutting training costs while improving model performance.
  
• Exclusive Long-Context Training: Ceramic.ai is the only platform that can train models on 96,000 words at once without loss of performance. Most AI systems process just 2,000-4,000 words in a context, about 8-10 pages of text.
  
• Superior Reasoning Performance: Our system outperforms existing models, with an exact match Pass@1 score of 92% on GSM8K, improving Meta's Llama70B 3.3 base model by 14% and beating DeepSeek's R1 at 84%.
  
• Optimized Data Processing: We reorder training data so each micro-batch is aligned by topic, dramatically increasing learning efficiency.
  

One of our most unique breakthroughs? Unlike conventional AI models, Ceramic.ai’s system improves as context length increases, rather than degrading in performance, making it the only viable choice for fast training.

Most infrastructure can scale up to 10x, but not 100x—and true exponential growth demands a complete redesign.  We’re able to bridge this gap by providing an enterprise-ready platform that isn’t just faster but fundamentally redesigned to be more scalable in order to power the next generation of AI, dramatically reducing the cost and complexity of AI model training.

This democratizes access to high-performance AI infrastructure so companies can navigate the complexity of AI training without spending hundreds of millions of dollars in research and engineering resources.

Backed by the Best

To fuel our next phase of growth, we've secured $12M in seed funding led by NEA, with strategic participation from IBM, Samsung Next, Earthshot Ventures, and Alumni Ventures. 

While we've made significant technical breakthroughs, we're continuing to push the boundaries of what's possible with AI infrastructure, and I’m excited about what the future holds. 

Whether you're a tech leader looking to optimize your AI initiatives or an organization taking your first steps toward building customized AI models, we're here to help you succeed, and I invite you to join us on this exciting journey.

Interested in connecting with us?

Visit ceramic.ai to learn more or request a demo, or reach out directly at info@ceramic.ai.

We can’t wait to hear from you!

Anna Patterson, Ph.D.
Founder & CEO, Ceramic.ai
Former VP of Engineering at Google & Founder of Gradient Ventures