TechStars London announced its second cohort, so let’s take this as motivation to take a look at the education startups among the participants.
Besides the three-months accelerator program, TechStars invests $118K in each company through $18K in seed funding and an optional $100K convertible debt note.
This is the second year TechStars is hosting its accelerator program in London. It is the only city outside of the US among the seven Techstars Programs offered. For London’s 2014 cohort eleven startups were accepted out of 1500 applicants, two of which are edtech startups.
Lingvist, formerly Language Accelerator, is an Estonian startup that wants to help you learn any language in 200h by the means of applying big data and mathematical concepts to the learning process.
I met Lingvist team members Mait Müntel and Ave Habakuk at our EDUKWEST EdTech Drinks Berlin meetup in December when they were still evaluating their next steps. Although I haven’t personally used the platform yet to evaluate the extend of data assistance in the learning process, it is obvious that data and algorithms play a big role in language learning today. Flashcard services with in-built spaced repetition to help you learn vocabulary more efficiently, mobile apps for self-paced language learning like busuu or babbel.com but also companies like English Central with their speech-recognition technology come to mind here.
And of course there is still the distinction between learning a language and actually speaking it. However, when I spoke with them in December the team was pretty convinced to have come up with something unique in the language learning vertical, and I’m curious to follow the next steps they will take.
Previous to being accepted in TechStars the startup raised $83,000 in seed funding.
UK-based Zzish is a platform for mobile educational games. The team wants to work with developers and help them create educational apps faster and more efficiently by giving them access to the content library, analytics tools, gamification features and to build these in their mobile games. Zzish also aims to help developers to monetize their educational apps by providing users premium features like personalized analytics.
Zzish also has a consumer-facing end and is aimed at young learners, their parents and teachers. It offers them personalization of the learning process as well as performance analysis through the Learning Center and across all the apps that are available on the platform.
Zzish has received $120,000 in seed funding according to CrunchBase.