Investor Matching Algorithm

Investor Matching Algorithm

HealthTech Series B Raise

A healthtech startup leveraging machine learning for patient analytics raised its $25M Series B after connecting with three investors through Dealflow. AI analysis surfaced investors with prior healthtech experience and appetite for growth-stage rounds.

porsche with a blurry background
porsche with a blurry background

3x

Increase in website conversions

3x

Increase in website conversions

Closed in 120 days

From kickoff to full brand launch

Closed in 120 days

From kickoff to full brand launch

+75%

Growth in social engagement

+75%

Growth in social engagement

The rise of intelligent health funding

Healthcare innovation has never been more urgent, and startups racing to improve patient outcomes need capital to scale fast. Yet traditional fundraising is full of inefficiencies: generic investor lists, months of cold outreach, and endless dead ends. For founders, the process can be as draining as it is uncertain.

Matching expertise with opportunity

In this case, an AI-driven process connected a healthtech startup with investors who not only had the capital, but also a proven track record in healthcare. Instead of chasing dozens of “maybe” leads, the founders engaged with three perfectly aligned investors — all surfaced by AI within days.

Speed and signal

The AI engine didn’t just filter by industry. It analyzed historical investments, board memberships, and portfolio patterns to score the likelihood of interest. That’s why the match quality was so high — and why conversations quickly turned into due diligence.

In conclusion

By replacing randomness with relevance, AI transforms the fundraising journey. For startups in critical sectors like healthtech, speed and accuracy don’t just save time — they can accelerate life-saving innovations to market.

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