Sheetventure Debuts AI-Powered Startup Funding Database


Sheetventure has launched an AI-driven funding database that connects startups directly with venture capital and private equity investors.

The platform, available at sheetventure.com, is designed to streamline dealflow by focusing on active investors who have written checks within the past 18 months.

The database uses artificial intelligence to match founders with investors most likely to engage, reducing wasted time and outreach.

By targeting only recent backers, Sheetventure aims to increase the relevance of connections and improve fundraising outcomes for startups.

For investors, the tool offers a curated channel for discovering new opportunities that align with their investment activity.


Insight

The platform enters a market already served by established data providers like PitchBook and Crunchbase, but differentiates itself by emphasizing live deal activity rather than static listings.

Sheetventure’s AI engine highlights relevance over volume, making it a resource tailored for both early-stage founders seeking capital and funds looking to refine their sourcing strategies.

Too often, founders chase investors who may not be writing checks anymore,” the company noted. “We want to solve that by keeping the data fresh and connections practical.”

The launch comes at a time when competition for quality dealflow is intensifying.

Investors are increasingly adopting technology-enabled sourcing to secure early access to promising startups, particularly in Asia and Europe where cross-border funding has accelerated.

Tools like Sheetventure represent an evolution of the venture ecosystem, where digital platforms are narrowing the gap between founders and capital.

While adoption remains early, the firm’s approach of pairing AI matching with verified investor activity could appeal to both sides of the table.

If successful, it may position Sheetventure as a challenger to larger databases by offering a more actionable and targeted solution for the fundraising process.


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