Ceramic

Ceramic.ai envisions a future where advanced AI training infrastructure is accessible to all enterprises, not just tech giants, enabling a new era of innovation across industries. By democratizing high-performance AI training, Ceramic.ai empowers organizations to develop and customize AI models that are finely tuned to their unique business challenges and opportunities.

Through pioneering large-scale, efficient training techniques and leveraging cutting-edge GPU acceleration, Ceramic.ai is reshaping the enterprise AI landscape with scalable, cost-effective solutions. Their technology addresses fundamental barriers to AI adoption, creating a foundation for transformative AI integrations that drive tangible business impact.

Dedicated to expanding the frontier of what’s possible with AI, Ceramic.ai is building the future of intelligent infrastructure—accelerating discovery, optimization, and strategic insight for enterprises worldwide through innovation that scales.

When we first looked into Ceramic.ai, what caught our attention wasn't just their impressive tech specs - it was the clear vision behind their platform. Founded by Anna Patterson, a former Google VP of Engineering, this startup is tackling one of AI's biggest pain points: making large language model training accessible to enterprises that aren't tech giants.

A Game-Changing Approach to AI Training

What sets Ceramic.ai apart is their remarkable efficiency gains. Their platform achieves up to 2.5x faster training speeds while cutting costs - a combination that's turning heads in the enterprise AI world. We were particularly impressed by their ability to scale across 10,000+ GPUs without the usual performance dropoff that plagues many training platforms.

The proof is in the pudding: they managed to fine-tune Meta's Llama 70B model to achieve a 92% Pass@1 score on the GSM8K math benchmark. That's not just an incremental improvement - it's a leap forward in model performance.

Built for Enterprise Reality

What we really appreciate about Ceramic.ai's approach is how they've designed their platform with real-world enterprise needs in mind. Their superior long-context training capabilities mean models can handle larger documents and datasets more effectively - a crucial feature for businesses dealing with complex data.

The platform's optimized data processing techniques, including clever innovations like thematic reordering of training data batches, show they're thinking deeply about how to make AI training more efficient at every level.

Where It Really Shines

With $12 million in seed funding from heavyweight investors like NEA, IBM, and Samsung Next, Ceramic.ai is positioned to make a significant impact. We see this platform being particularly valuable for organizations that need to build custom AI models but have been held back by infrastructure limitations or cost concerns.

While it's still early days (they emerged from stealth in early 2025), their partnerships with Lambda and AWS suggest they're building the right foundations for enterprise-scale success. If you're looking to develop custom AI models without breaking the bank or waiting months for training completion, Ceramic.ai should definitely be on your radar.