Statista Connect Success Story

How Kruncher replaced LLM estimates with verified market data for VC investment decisions


Kruncher is an AI-powered platform for venture capital and private equity teams, bringing fragmented data into one place so they can evaluate investment opportunities. From company performance to market context, investors use it to assess deals, prioritize opportunities, and build data-backed investment cases with confidence.

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The challenge

Kruncher needed a reliable foundation for market analysis inside its platform. While investors could generate quick estimates using LLMs or scattered sources, results were often inconsistent, hard to verify, and lacked clear references. For a product used to evaluate deals worth millions, that wasn’t enough. They needed a trusted, structured data source for consistent market sizing, trends, and citations.

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The outcome 

With Statista Connect, Kruncher now delivers reliable, referenceable market data directly into its platform. Investors can access consistent market sizing, growth trends, and cited data points within their workflow. This gives them the confidence to move fast, without second-guessing what's behind the numbers.


 

“When [investors] build their investment memo, they need references. With Statista, we can say exactly where the information comes from.”

— Francesco De Liva, Cofounder and CEO


From inconsistent estimates to trusted market signals

When venture capital and private equity teams evaluate a deal, they move fast. In private markets, initial decisions can happen in as little as 30 seconds. But behind that speed sits a critical requirement: the market needs to be big enough, growing, and backed by reliable data.

For CEO and Cofounder Francesco De Liva and the team at Kruncher, that created a problem.

Kruncher builds AI-powered software that helps investors analyze companies by consolidating data from multiple sources—financials, founder background, traction, and market context—into one place. Most of that picture was already strong, bur market sizing and trends needed firmer ground.

“Before, it was mainly just asking the LLM,” Francesco explains. “But if you ask three times, you can get three different answers. They are not consistent.”

That inconsistency risked undermining trust with clients.

Building a reliable data layer into investment workflows

Kruncher turned to Statista Connect to bring structure and credibility to its market intelligence layer.

When an investor inputs a company into Kruncher, the platform automatically identifies the relevant market, geography, and segment, then pulls Statista data via API to enrich the analysis.

This feeds directly into the outputs investors rely on: market size and growth, key industry trends, and charts with clear source references.

“We make a couple of inquiries to the API and extract the most relevant market trends and information,” Francesco says. “Then we build analytics on top of that and reference the information in detail.”

Investors use the market section not just to screen deals, but to prepare for first conversations with founders. They want to arrive informed on key trends, ready to show they understand the space they are building in. And when they move forward, the data needs to hold up.

“When they build their investment memo, they need references. With Statista, we can say exactly where the information comes from.”

From ‘good enough’ data to decision-grade insights

For Kruncher, the value of verified data is about moving faster and with more confidence.

While investors can quickly generate rough estimates using AI tools, those outputs often lack consistency and verifiability. That’s a problem when decisions involve millions.

“You need to have a reliable and complete data source,” Francesco says. “We don’t want to spend time checking if a source is real or not.”

By integrating Statista Connect, Kruncher turns finance market data into a dependable input rather than something that needs to be questioned.

This directly changes how investors use the platform. Market size and growth are validated automatically, with weak or declining markets flagged early. And because the data is consistent, the same query returns the same grounded result every time.

“We compute this automatically and ensure the requirement is fulfilled,” Francesco explains. “If the market is too small or not growing, it becomes a red flag.”

 



“If we didn’t have this data, customers would not trust our analysis. It would be a massive problem to rely only on LLMs for market data.”

— Francesco De Liva, Cofounder and CEO

Aggregating data investors can actually trust

Kruncher’s core value is bringing everything investors need into one place so they can evaluate opportunities without jumping between sources. Statista Connect strengthens that foundation by adding reliable, referenceable market data directly into the workflow.

“Our customers don't want to stitch together a stack of data tools,” Francesco says. “The real advantage is to aggregate the data, save time, and give them a reference.”

That integration isn’t just about convenience. It’s about meeting a higher bar. Because Kruncher sits between raw data and the investor, accuracy isn’t optional.

“They are more demanding with us,” he explains. “We need to be accurate.”

Without a trusted data source behind it, the platform would struggle to deliver on that expectation. “If we didn’t have this data, customers would not trust our analysis. It would be a massive problem to rely only on LLMs for market data.”

Below: Statista's analyst-verified market data, plugged directly into Kruncher's AI investment platform. 

A stronger foundation for faster investment decisions

In an environment where initial decisions happen in seconds, Kruncher’s goal is simple: make those decisions more informed.

By embedding Statista Connect into its platform, market data becomes fully integrated, clearly sourced, and ready to use. The result is faster screening, stronger investment cases, and more confident decision-making.

“You need to tap into reliable data,” Francesco says. “That’s exactly why we adopted Statista.”

Last updated: June 2026

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