BioRaptor Raises $3 Million in Funding  

by Kay Aloha Villamor November 1st, 2022

BioRaptor, a Tel Aviv, Israel-based biotech startup that leverages AI to centralize and collect all experimental data in real-time, raised $3 million in funding to innovate in the biotech industry by putting AI-powered insights into the hands of every scientist.

The round was led by lool Ventures and CPT Capital, with participation from FoodHack and a number of strategic angel investors.

With this round, BioRaptor will ramp up development and additional onboard customers.

“Scientists are spending so much time on manual analysis rather than focusing on planning and research. As a software engineer, I’ve experienced first-hand the shift in the past 15 years, and we’ve come to take for granted the work that’s been offloaded from us via advanced tools. We want to bring that to Biology.” said Ori Zakin, BioRaptor’s co-founder and CEO.

BioRaptor is building the operating system for biology research and manufacturing - leveraging state-of-the-art artificial intelligence to present a clear understanding of data and creating deep and actionable insights integrated within existing workflows.

Company: BioRaptor

Raised: $3.0M

Round: Unknown 

Funding Month: October 2022

Lead Investors: lool Ventures and CPT Capital

Additional Investors: FoodHack

Company Website:

Software Category: AI-powered insights platform

About the Company: Founded by Ori Zakin and Yaron David, BioRaptor is an AI-powered insights platform that unlocks the impact of every scientist. Its goal is to empower every scientist and biotech firm, making AI-powered insights a natural part of every workflow. From alt-protein foods to new biopharmaceuticals, BioRaptor will make it easier, quicker, and more cost-effective for scientists to discover, develop and scale processes that get much-needed food and pharma products into the hands of those who need them. BioRaptor is building the operating system for biotech and biopharma firms. Its OS will enable scientists to leverage scientific data and deep insights to design better experiments, learn from experiments, and understand how to accelerate outcomes.


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