As enterprises race to deploy autonomous agents and LLMs, they’ve discovered a dirty secret: If you want an AI to be accurate, it needs to look things up on the live web.
But doing so through legacy search providers is prohibitively expensive, often costing more than the AI model’s inference itself. This economic friction has forced a dangerous compromise: companies are letting their AI “guess” to save money, leading to the “hallucinations” that have become the scourge of the industry.
To change that, Ceramic.ai has launched a new search API, along with unveiling a new supervised generation system powered by Nvidia Numotron Nano 3.
Ceramic is promising to cut the cost of AI search by 100x, a move that could fundamentally shift the unit economics of the entire AI economy.
The End of the Hallucination Compromise
The problem Ceramic is solving is one of grounding. When an LLM answers a question based only on its training data, it is essentially reciting a poem from memory, a memory that might be two years old. To get a factual, up-to-the-minute answer, the AI needs a retrieval layer.
There’s probably no better team to accomplish this massive challenge. Ceramic was founded by Anna Patterson, a 3x search founder and former VP of Engineering at Google. Over the last 20 years, Anna has helped architect the search indexes that organized the world’s information.
Here’s what Patterson said: “Fluency without accuracy is a liability, not an asset. 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.”
By stripping away the legacy overhead required for human-centric search (like ad-tech trackers and UI elements) and rebuilding the stack for machine consumption, Ceramic has created a high-volume, low-latency pipeline specifically for agents.
Working with NVIDIA to Provide Accuracy at Scale
The timing of Ceramic’s emergence isn’t accidental. The company unveiled the platform at NVIDIA GTC, the chipmaker’s flagship conference.
With that, Ceramic’s system leverages NVIDIA Nemotron 3 Nano as its primary verification engine. By combining Ceramic’s $0.05-per-thousand search API with Nemotron’s cost-efficient “mixture-of-experts” architecture, the two companies are offering a blueprint for Verifiable AI.
Instead of a chatbot giving you a confident-sounding lie about a financial report, Supervised Generation grounds every claim in verified web evidence. If the AI makes a claim, Ceramic provides a traceable citation. If it can’t find a source, it flags the claim as uncertain.
Solving the Legal Loophole
Beyond the tech and the price point, Patterson is taking aim at the legal minefield of AI scraping. As publishers and news organizations sue AI giants for regurgitating content without compensation, Ceramic is positioning itself as an honest broker of up-to-date information.
The platform is built with a publisher-respecting architecture, crawling only with permission and designed to support long-term compensation models. It’s an olive branch to the media industry that has felt increasingly cannibalized by the AI boom.
The Bottom Line
For the last two years, the AI industry has focused on bigger models. But as the hype settles into the reality of enterprise deployment, the focus is shifting to infrastructure.
If Ceramic can truly deliver 100x cost reductions while solving the hallucination problem, it won’t just be another API provider, it will be the essential utility that allows the next generation of autonomous agents to actually do their jobs without breaking the bank or the truth.
Companies can learn more at https://www.ceramic.ai/.
