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Women Startup Challenge
COVID-19 Tech Grant
Congrats to the Finalists
September 2020
Five startups were selected to participate in the COVID-19 Tech Grant Program.

A $10,000 Innovation Grant was awarded to Chrissa McFarlane of Patientory, and a $3,000 Impact Grant was awarded to Max Tuchman of Caribu.

Women Startup Challenge COVID-19 Tech Grant Finalists

Chrissa McFarlane headshot


Chrissa McFarlane

Patientory Inc. is a population health data management and analytics company that leverages blockchain to gather silo’d healthcare data to empower patients, medical professionals, healthcare organizations, and employers with actionable insights into healthcare data to improve population health outcomes. This further assists providers in identifying their at-risk populations and creating plans to change behaviors, reducing the overall cost of care through early intervention. 

Maxeme Tuchman headshot


Max Tuchman

Caribu is the leading ‘educational family entertainment platform’ specifically designed for kids ages 0-13 to have a virtual playdate, allowing them to draw simultaneously and play games in real-time with family and friends when they can’t be physically together.

Adhithi Aji headshot


Adhithi Aji

Adrich uses IoT and AI to help brands and retailers gain unprecedented consumer understanding through product consumption analytics. This data helps bridge the gap in real-time between behavior and usage data, extending to post-purchase consumer use while enabling automatic replenishment.

Aksana Karolik headshot


Aksana Karolik

ezLoads is a web-based, intuitive, easy-to-use platform designed for trucking carriers. It automates the logistics industry and eliminates inefficiencies to lower the cost of all the goods we all consume, including our groceries!

ezLoads is the most affordable and easy-to-use technology to manage and automate a complex business.

Devshi Mehrotra headshot


Devshi Mehrotra

JusticeText is an evidence management platform designed to produce fairer outcomes in the criminal justice system by expediting the review of crucial audiovisual data - including body camera footage, interrogation videos, jail calls, and more. The speech-to-text machine learning algorithm that auto-generates interactive and searchable transcripts of video and audio evidence reduces the time defendants spend in jail, and increases the quality of the defense they receive in trial.