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

News Summary:

• Ceramic's Supervised Generation augments LLM outputs with search grounding, citations and confidence signals — bringing verifiable, trustworthy AI to enterprise applications.
• NVIDIA Nemotron 3 Nano serves as a featured verification engine inside Ceramic Supervised Generation, combining high-accuracy fact-checking with cost-efficient long-context processing at enterprise scale.
• Ceramic joins a growing ecosystem of enterprises deploying NVIDIA Nemotron open models to build specialized, accurate and transparent AI applications.

SANTA CLARA, Calif.--(BUSINESS WIRE)--Ceramic, an AI-native search infrastructure company, today 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. To sign up for our waitlist, visit ceramic.ai, or visit us March 16-19 at booth #4035.

As organizations deploy AI across high-stakes workflows, the reliability of AI-generated outputs has become a defining challenge. A hallucinated fact in a financial report or an unverifiable assertion in a medical summary can erode trust and create liability. Ceramic Supervised Generation addresses this directly, operating alongside any existing LLM to evaluate outputs as they’re being generated, ground claims in verified web evidence and surface transparent trust signals before responses reach the user.

"Fluency without accuracy is a liability, not an asset," said Anna Patterson, founder and CEO of Ceramic. "Supervised Generation gives enterprises the ability to deploy AI with confidence — every response grounded, every claim traceable, every uncertainty made visible. And because it's model-agnostic, it fits into any stack, with any model, on day one."

Supervised Generation supports a range of verification models. NVIDIA Nemotron 3 Nano is featured as a recommended option. NVIDIA Nemotron 3 Nano's hybrid mixture-of-experts architecture was designed from the ground up for long-context efficiency, delivering up to 4x higher throughput than its predecessor while dramatically reducing inference costs at scale, by using linear attention on 3 out of 4 layers, reducing the KV cache and enabling longer contexts. Ceramic is built to support this new long context capacity. With a search API priced at $0.05 per 1,000 queries and retrieval latency as fast as 50ms, Ceramic supplies the high-density retrieval context that long-context models like Nemotron are optimized to consume, at a cost that doesn't offset the inference savings. Together, the two systems are architecturally and economically complementary: Nemotron makes long-context reasoning affordable; Ceramic ensures that feeding this context remains cost-effective.

Users receive responses where every claim carries a trust signal. Verified claims include a confidence score and a traceable citation, while unverifiable claims are flagged inline. Supervised Generation integrates with existing LLM infrastructure for generation, without displacing current workflows or contracts. With Ceramic's search 100x more cost-efficient than leading alternatives, the economics of grounded, verifiable AI are accessible to organizations of every size.

Supervised Generation is currently in private beta and powered by Ceramic’s AI-first search engine. Visit ceramic.ai to learn more about Ceramic Search and join the waitlist for early access to Supervised Generation when it becomes available.

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

About Ceramic

Ceramic is an AI-native search infrastructure company delivering search APIs purpose-built for LLMs and AI agents.