Inquatro Inc.

Inquatro Inc. worked with Mojo, a medical technology company, to develop an AI platform and computer vision for fertility treatment. The project aimed to reduce the 75% failure rate of Assisted Reproductive Technology (ART). Inquatro designed an interface displaying sperm videos and analyses, using the OpenCV computer vision library and the YOLO framework. The software utilized neural networks for object recognition. The project, which ran from June to November 2017, was a pioneering venture in the fertility world. The initial project cost between $5,000 and $10,000.

Inquatro Inc. partnered with a marketing technology company for the development of a minimum viable product (MVP). The project started in 2017 and involved building a prototype that utilizes visual recognition technology. The company aimed to identify content and connect with eCommerce companies to monetize visual content. The project evolved into developing more robust visual recognition models for an advertising tech platform. Inquatro provided design and development services, transitioning the MVP into a scalable platform capable of handling higher volumes. They also developed a user-friendly app for visual commerce.

Inquatro Inc. was hired by a data analytics company focused on local economic indicators in Europe. The company needed to connect to new sources of unstructured data in an automated, high-quality process. Inquatro developed scripts to collect the unstructured data based on the company's specific instructions. The scripts were updated as needed, ensuring the infrastructure ran reliably. The team mainly collaborated with one developer from Inquatro. This project demonstrated Inquatro's ability to provide efficient and reliable solutions for data collection and management.