CEO Mark Brayan attributed Appen’s performance to a few factors. In their financial statement, Brayan said the company now processes multiple data formats (audio, image, video, and text), which enabled Appen to expand existing business and win new clients.
He also pointed out that “machine learning and artificial intelligence rely on very large, high-quality data sets,” a demand which Appen is well positioned to capitalize on. Furthermore, Appen’s October 2016 acquisition of Mendip Media Group appears to pay off as the “need to work with secure data” is increasing.
In a 2016 interview with Slator, Brayan cited Mendip’s capabilities in security as one of three major reasons for the acquisition. Mendip Media has since been rebranded as Appen UK.
The Language Resources division, which creates audio databases for training speech recognition engines, increased revenues by 13% to AUD 20.7m from the first half of 2016.
Appen’s Content Relevance unit that trains products using machine learning posted a 52% jump from the same period last year to AUD 53.3m in 1H 2017.
This division services tech companies that increasingly rely on machine learning for more personalized, relevant services to their consumers in the areas of search and social media.
Appen’s two biggest clients in this unit – and for the company as a whole – are likely Google and Microsoft Bing.
The company’s fundamental capabilities and internal structure are fairly similar to a more conventional language service provider.
In spite of this, Appen has no ambitions in the translation space, or as CEO Brayan put it in 2016, “we currently don’t have the scale of operations of a pure-play translation service provider… Other companies would probably be better equipped to do that than us.”
