NVIDIA Nemotron Powers Ceramic Supervised Generation to Ground AI Responses at Enterprise Scale

Ceramic AI, an AI-native search infrastructure company, led by Anna Patterson and Tom Costello, has unveiled Supervised Generation at NVIDIA GTC 2026, a system that augments large language model (LLM) outputs with real-time verification, citations, and confidence signals. Supervised Generation is model-agnostic, operating as a trust layer alongside any existing LLM infrastructure, with  NVIDIA Nemotron 3 Nano as the featured verification engine. 

As AI is deployed across high-stakes workflows, output reliability has become a critical challenge, with hallucinations posing risks in areas like finance and healthcare. Ceramic Supervised Generation addresses this by working alongside any LLM to evaluate outputs in real time, grounding claims in verified web evidence and surfacing transparent trust signals before responses reach users.

“Fluency without accuracy is a liability, not an asset,” said Anna Patterson, founder and CEO of Ceramic. “Supervised Generation enables enterprises to deploy AI with confidence, grounding responses in evidence, making claims traceable, and surfacing uncertainty, while remaining model-agnostic and compatible with any stack from day one.”

Supervised Generation supports multiple verification models, with NVIDIA Nemotron 3 Nano highlighted as a recommended option. Its hybrid mixture-of-experts architecture is optimized for long-context efficiency, delivering up to 4× higher throughput while reducing inference costs through techniques like linear attention and a smaller KV cache.

Ceramic complements this by providing high-density retrieval context, with a search API priced at $0.05 per 1,000 queries and latency as low as 50ms, aligned with the needs of long-context models.

Together, the systems are both architecturally and economically aligned: Nemotron enables affordable long-context reasoning, while Ceramic ensures that supplying that context remains efficient at scale.

Users receive responses where every claim is paired with a trust signal, verified statements include confidence scores and traceable citations, while unverifiable claims are clearly flagged. Supervised Generation integrates seamlessly with existing LLM infrastructure, enhancing outputs without disrupting current workflows or contracts.

With Ceramic’s search engine delivering up to 100× greater cost efficiency than leading alternatives, grounded and verifiable AI becomes accessible at scale.

Supervised Generation is currently in private beta, powered by Ceramic’s AI-first search platform.

Ceramic is a member of NVIDIA Inception, a program that supports startups advancing AI and accelerated computing.