Killing “We Don’t Know”

A few years ago, I realized something that genuinely surprised me. I’ve always been obsessed with data. As an engineer, I believe decisions should be driven by facts, not intuition.

But when I began working closely with large enterprises, I saw something I couldn’t ignore.

Behind the dashboards, AI initiatives, and transformation programs, there was still guesswork.‍

They could analyze internal data endlessly. But when it came to the outside world — competitors, pricing, availability, regulatory shifts, market signals — the answer was often, “We don’t know.”

Enterprise Search for External Truth Never Existed

Google did an incredible job building search for consumers. Fast. Easy. Convenient.
But enterprises don’t need convenience; they need precision, completeness at scale, and governance.

When you’re making decisions worth tens or hundreds of millions of dollars, you can’t afford surface-level answers, AI summaries, or stale data. 

Models are getting smarter. But they’re reasoning over incomplete, outdated, or unverifiable information, and it just creates faster mistakes. It’s not an AI problem – it’s a data problem.

Building Search Infrastructure for Agents 

Agents are the headline, but data is the bottleneck:

Search was designed for humans, not AI.

Scrapers break or get blocked.

Data vendors aren’t agile enough.

In 2022, I wrote about our vision, imagining the internet becoming programmable, where you could run SQL and query the web as if it was a database. 

We realized, however, that existing infrastructure didn’t scale for modern agentic workflows.

Infrastructure that allows agents to:

Search
Navigate
Render
Extract
Verify
Structure
And deliver — reliably and at scale.

Today we’ve made our original vision a reality – turning the live web into trusted, enterprise-quality data.

Announcing Nimble’s $47M Series B

We’re announcing our Series B today, led by Norwest. This funding enables us to accelerate our mission to be the infrastructure for all AI agents to search the web and make external truth accessible for all.

We’re proud to deepen our partnership with Databricks, which is now joining as an investor, alongside all current leading investors who share our conviction that enterprise AI must be grounded in trusted, operationally reliable data. 

Proof in Production

Fortune 500 banks, top-tier consulting firms, and leading retail and CPG companies already rely on Nimble to power high-stakes decisions. We partner with leading AI labs to push innovation forward for thousands of users who depend on Nimble every day to monitor markets, track competitors, and fuel their agents with fresh, verifiable data.

At the same time, AI-native startups use Nimble to power agentic products that require the same enterprise-grade reliability because, when your product depends on reality, “mostly correct” isn’t good enough.

We’re grateful to our customers for trusting Nimble in the moments that matter, and we’re excited to support the world’s leading teams to deploy agents with trustworthy web data.

About Nimble

Founded in 2022, Nimble is building the knowledge layer for the open web. Our mission is simple: eliminate “we don’t know.” By making the live web searchable and computable in real time, we enable businesses, both large and small, to operate on truth, not guesswork.

Delivering what businesses and AI need: truth.

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