Announcing Nimble! The web holds the data to help AI take the next leap, but it isn’t a database. So we built a product that makes it behave like one. We’ve raised $75M from @NorwestVP, @databricks, and leading VCs to build a system that enables anyone to create live datasets

Agents using Nimble to search the web are much happier. They get clean, structured data to easily find the information actually relevant to their query. Here are Nimble's search results for "TVs on sale":

AI Search tools let agents search the web - but can they actually get useful info from the results? Search results for agents come in long, noisy text blocks, which increases post-processing latency, costs, and error risk. This is what agents see when they search for "TVs on

Thanks @TechCrunch ! "LLMs and AI agents are great for searching the web, connecting results from a variety of sources, and analyzing them, but they often return the results in plain text, which can be difficult to work with at an enterprise level... By validating and

Turn the live web into a queryable database in seconds by installing Nimble Skills on your Claude (or Cursor, VS code, etc...). Connect it to your agents, apps, and data lakes. https://t.co/qxF7nnC4Jj

Getting live web data requires too much code. We think it shouldn't, so we built an no code studio that automates everything - from browsing to streaming. Check out this demo to learn how it works.

61% of teams building AI agents struggle with data accuracy. Why?

Imagine what becomes trivial now: -Instant real-time stock / product availability near you -Every fresh rental listing from the past 48 hours, normalized across major platforms -Brand-new RFPs and tenders this week matching AI analytics, data platform and more This is the

I built an AI agent that looked for good apartment deals. It kept hallucinating which units were actually available. I blamed the model. I thought the reasoning was broken. I thought the prompts weren’t good enough. It wasn’t the model. It was the data. The agent could

Turn the web into data. Queryable. Structured. Live. Nimble powers AI agents and business decisions with real-time web intelligence.

Your AI Agents will be stupid with hallucinated results. Except you give it the right data. Nimble makes AI Agents smarter by giving them access to retrieve real-time web data in a structured, tabular format. With Nimble ( @nimble_data ), you can: - Turn the web into data

5. Built for Real Agents Nimble plugs directly into coding agents like Claude and Cursor using Nimble Skills. Query the live web in natural language from your agents. Explore skills → https://t.co/NRHIsZgSlZ Perfect for building: - Price & inventory agents - Real estate

We’ve been obsessing over models. The real bottleneck for AI agents is the data layer. The web is the largest dataset on Earth. And it’s basically unusable as infrastructure as it's not structured and not reliable. That changes today with Nimble @nimble_data They turn the

This is why I've been heads down the last few months. The shift from web scraping to agentic web search is real, and @nimble_data just raised $75M to prove it. Live web data, structured and queryable by AI agents, not cached, not indexed. Live.

I usually roll my eyes at “next big web tool” hype. Most are just old tricks in new packaging. But I played with Nimble last week… and it actually surprised me. Imagine you’re building an AI Agent that automates online ordering. You ask it for real-time stuff like: - PS5

AI agents are powerful—but without live web data, they’re guessing. Nimble turns the internet into real-time, structured data your agents can actually use. This is how serious teams power production-grade AI.

The web just became a live database. Nimble gives AI agents live access to the entire web as structured data. Most scraping tools return noisy text blocks from webpages. You still parse it, clean it, structure it for your use case. Search tools query cached indexes. Data from

Tavily and Exa are good. @nimble_data is different, and once you see why, you can't unsee it. Here's the difference: Most AI search tools query pre-built indexes. That means the data your agent gets could be hours, days, or even weeks old. For a lot of use cases, that's fine.

You can use Claude Code to pull live, structured data from any website. It's a Claude skill. This is not about searching the web and returning a wall of text. That sucks. This skill will return structured data, organized in tables you can work with immediately. For example:

Announcing Nimble! The web holds the data to help AI take the next leap, but it isn’t a database. So we built a product that makes it behave like one. We’ve raised $75M from @NorwestVP, @databricks, and leading VCs to build a system that enables anyone to create live datasets

Get started today: https://t.co/B9B0zlaZEj We're excited to build with you.