Red Buffer

Red Buffer undertook a coding and language processing project for an IT company that provides text analytics for the legal sector. The company needed assistance with custom software development, which Red Buffer addressed by implementing natural language processing functions, text analytics, name identity extraction, and various algorithms and technologies. The team from Red Buffer, comprising the CEO, an engineering lead, a coder, and an occasional tech resource, worked from May 2017 to January 2020. The project cost between $300,000 and $400,000.

Another project undertaken by Red Buffer involved custom AI and machine learning development for Techstreet, a tech company aiming to reduce risks and errors in medical procedures. The company wanted to build an AI-driven surgical platform with voice and visual systems. Red Buffer worked on this project for two years, using visual recognition to identify surgical instruments and voice recognition to predict mishaps. They also built a sports app, a donation platform, and a cloud-based spill containment system. The project, which ran from January 2018 to January 2021, cost around $1 million.

In another engagement, Red Buffer worked with a personalization and AI-based machine learning company based in the US. The project involved building machine learning models for the personalization systems. The team from Red Buffer participated in team meetings and agile development, delivering tasks efficiently. The CEO of Red Buffer also visited the client's office several times to facilitate the collaboration. The project, which cost around $100,000, ran from December 2015 to December 2019.