Founded in Porto by IT researcher and entrepreneur Verónica Orvalho, Didimo aims to humanize online interactions with its disruptive 3D technology. Requiring no more than a smartphone and a photo upload, it can produce, in a matter of minutes, a 3D character (or “digital twin”) capable of authentic facial expressions and speech.
The startup uses an algorithm to extract key features from a facial image, including bone structure, recreating them in a 3D model format, which can then be used to interact in all kinds of experiences, from gaming to shopping, education, entertainment, and even sports or medicine.
Investors are duly taking note, and this year alone, rewarded the Portuguese startup with more than 7 million euros in seed funding.
The latest funding round, which closed in on €1 million in September, was led by the venture capital company Armilar Venture Partners, together with Bright Pixel and PME Investimentos, as well as the 200M co-investment fund.
The new funds will be used to boost the development team to reinforce existing pilot projects and to build new relationships on its mission to “break down the barriers between the physical and digital worlds”, as Verónica Orvalho said in a statement.
“Closing a new venture round represents a huge incentive for the team and proves that our mission is relevant to the market. We will continue to work to bring humanity to digital interactions”, said the CEO.
Born in 2016, Didimo - Greek word for “twin” - currently has 27 employees spread across its headquarters in Porto, in Vancouver and Delaware (previously also in London) and works with multinationals such as Sony, Amazon, CeekVR and Farfetch.
With the ongoing global pandemic, Didimo's team believes its product is more relevant than ever. “The context we live in, as a result of the circumstances imposed by the new Coronavirus, makes even more evident the relevance of digital humans, applied, for example, in telemedicine, in e-learning or monitoring the most senior population. More than enough reasons to foresee a future with more Didimos”, Verónica Orvalho told PCGuia magazine this year.
Didimo's growth plans also included the launch of an application for iOS and Android platforms, in November, which allows, on the one hand, any user to create their own Didimo and, on the other, companies to integrate the solution on a larger scale.
The award-winning article, “Predicting taxi-passenger demand using streaming data”, was published in IEEE Transactions on Intelligent Transportation Systems, in September 2013, and was co-authored by researchers Michel Ferreira, Luís Damas (Geolink, FCUP) João Gama (INESC TEC/FEP), João Mendes Moreira (INESC TEC/FEUP) and Luís Moreira-Matias.
Their work presented a new methodology to predict the spatial distribution of taxi passengers within a short time frame, using streaming data. The research team carried out experimental tests using online data transmitted by 441 vehicles from a fleet operating in the city of Porto, and concluded that the structure they propose can provide an effective view on the spatio-temporal distribution of taxi demand within a 30-minute time frame.
According to the authors, this was pioneering work in anticipating the paradigm shift in transport research that we have witnessed in the last decade.
“We went from being ‘model-based’ — where we tried to draw mathematical models to manually explain the phenomena that occur around us — to being ‘data driven’ — where we designed algorithms to create these models automatically from large amounts of data that describe historical achievements of these same phenomena”, they explain.
The George N. Saridis Best Transactions Paper Award owes its name to the Greek George N. Saridis (1931–2006), professor at Purdue University and the Rensselaer Polytechnic Institute, who became known for pioneering intelligent control, robotics and intelligent transport systems, and led the effort to start R&D in these areas in the 1960s and 1970s.
In 2015, the Board of Governors of the IEEE ITSS approved the proposal to nominate the IEEE Best Paper Transaction Award in Intelligent Transport Systems as the George N. Saridis Award for Best Transaction Role. After almost six years of preparation and planning, the George N. Saridis Award for Best Transaction Article 2014–2017 was announced for articles published in IEEE Transactions on Intelligent Transportation Systems, which rewards the articles with the greatest impact and most citations on Google Scholar.https://sigarra.up.pt/fcup/pt/noticias_geral.ver_noticia?P_NR=66693