Google for Startups has today announced the line-up of the first 2019 Residency cohort which will spotlight startups using machine learning technology to make a positive social impact. The six companies involved tackle a range of issues spanning mental health to rare disease detection, social inequality to unconscious bias in the hiring process.

Google for Startups Residency brings growth-stage startups the best of Google’s products, connections, and best practices. Each startup receives tailored mentorship and workspace at the Google for Startups London Campus. In 2018 alone, 11 startups participated in the Google for Startups Residency, raising over$12.7M and creating over 86 jobs.

The 2019 Residency programme will be led in tandem by newly appointed Head of Google for Startups UK and serial entrepreneur, Marta Krupinska and her team. Marta is best known for co-founding the global FinTech company Azimo, which offers low cost digital money transfers.

2019 RESIDENCY COHORT

  • Mendelian: Founded in 2017, Mendelian accelerates the diagnosis of rare and hard to diagnose genetic diseases by building smart software solutions for clinicians, health providers and patients.
  • Limbic.ai: Founded in 2017, Limbic.ai is turning physical fitness trackers into mental fitness trackers, as a scalable solution to mental health problems. Limbic.ai’s patent-pending AI detects human emotion from heartbeat data collected by wearables.
  • Applied: Founded in 2016, BeApplied is a recruitment platform that allows people to hire without unconscious bias and sources diverse, quality candidates in a fair way.
  • Synthesized: Founded in 2017, Synthesized’s software uses AI to learn the structure of original data and simulate practically useful new data points unleashing the full potential of data whilst protecting people’s privacy.
  • Feebris: Founded in 2018, the Feebris platform connects to a wide range of point-of-care devices (digital stethoscopes, wearables etc.) and uses signal processing algorithms to turn data into actionable diagnostic outputs.
  • Predina: Founded in 2016, Predina uses AI to analyse the changing environment to dynamically predict road transport risks and reduce accidents.