Isabel Alexandre

Meet CODE_n finalist Streetspotr

Streetspotr is a smartphone app that builds mobile workforce. The German startup from Nuremberg created a fast, easy, and cost efficient way for businesses to collect data and insights from anywhere, at any time and on any scale using mobile crowdsourcing.

Dorothea Utzt is co-founder and CMO of Streetspotr

Dorothea Utzt is co-founder and CMO of Streetspotr

The startup has already more than 220 thousand “Streetspotrs”, people that use the app to earn money doing seriously small tasks using their smartphone. Clients like Red Bull, Microsoft and Sony also employ this mobile workforce. In today’s interview with Dorothea Utzt, co-founder and CMO of Streetspotr, we talk about the trajectory of their company and their expectations of presenting themselves at CODE_n and CeBIT.

What was the inspiration for creating Streetspotr?

Actually, there has been more than one inspiration. Firstly, we came from the App development business and have known each other for years, working together on many projects at different companies (e.g. miCal- the missing calendar). We always wanted to do something “bigger” than the next customer project or simply the next App. As techies, it is no wonder that all of us founders have owned their first iPhone in 2007 when it came out. We played around with them all the time and spend hours and hours checking our emails or Facebook. That was the time when we first thought “How nice would it be if one could do something really meaningful in waiting times with a phone that´s so smart?” When BMW approached us in 2011 asking if we could map parking garages (opening hours, floors etc.) all over the country for them, the idea of Streetspotr was finally born.

Streetspotr connects Big Data and crowdsourcing. How does the app work?

Our premise is collecting data and insights for businesses via a smartphone workforce. Due to the size and scope of our workforce (230.000+ people), we enable them to collect exactly the data they need. That´s our way of “scanning” the mass of data that can be found everywhere, even on the streets and in shops (addresses, opening hours, menus, product placements). You can say that we take a step further than other Big Data companies: Instead of analyzing a mass of data that has no structure and is hard to define, we make it possible to skip that step and simply collect the right data for our customers instantly – anytime, anywhere and on any scale.


Isabel Alexandre

Meet CODE_n finalist Sablono

Sablono uses big data to help construction companies solve project management problems and deliver buildings on time. The German startup developed a software solution called BIMtime, a collaborative scheduling tool that assists organizations with the set up of complex construction projects.

Felix Enge

Felix Enge is CEO and co-founder of Sablono

The startup was founded in 2013 as a spin-off from the Technical University of Berlin. It is now a member of the SAP Startup Focus program and is seed-funded by Hasso Plattner Ventures. Sablono is also one of the 50 CODE_n finalists and in today’s interview we talk to the CEO and co-founder, Felix Enge.

When thinking of big data, the construction industry wouldn’t normally instantly come to mind. How can this technology benefit the construction sector?

The construction sector is one of the most analog, or non-digital industries in the world and keeping track of complex building projects is a very challenging task for the people involved. Often, the full complexity of a project is not completely considered in the planning phase and the initial schedules and cost estimates don’t reflect all relevant details. New technology can have a huge impact in this respect by connecting a variety of key data sources from the beginning and by enabling the people to systematically analyze past and recent projects. If this information can be made accessible in real time, project managers can better plan, decide or reschedule – based on the very latest developments and past experience. This will help to significantly increase the certainty of construction projects and will make estimates and schedules more reliable and accurate.

How does BIMtime work?

Sablono BIMtime is the first software tool to create reliable project schedules based on a virtual 3D building model. The components of the model are associated with Sablono-certified building processes, which contain all relevant information on the manufacturing process of every single component. The result is a significantly more reliable schedule with a thousand-fold increase in the level of detail. Throughout all construction phases, the schedule remains connected to the 3D building model and is automatically updated if a change or delay occurs.


Isabel Alexandre

Meet CODE_n finalist Cosinuss°

Cosinuss° develops high-tech earplugs that help people measure heart rate, body core temperature and arterial oxygen saturation of the blood. The wearable technology created by the German startup has multiple applications, being used in fields of medicine, sports, employment protection, and even fertility determination.

Johannes Kreuzern

Johannes Kreuzern is the CEO of Cosinuss°

As one of the Top 50 Big Data startups selected by CODE_n, Cosinuss° will present their products and solutions at the CeBIT. In today’s interview, we talk to the CEO Johannes Kreuzern about the company and their expectations in taking part in such a big technology event. 

Could you give us practical examples of how Cosinuss° sensor technology can improve people’s life?

With the new C-SP 01, a heart rate monitor in the ear, everybody is able to track his/her performance without having the disturbing chest belt twitching and rubbing your chest all along your training. Next generation sensors coming soon will fusion headphones with heart rate monitors allowing you to not only listen to your beloved music and track your performance with one gadget but also to get motivational feedback according to your performance directly back into your ear. More…

Isabel Alexandre

Meet CODE_n finalist Viewsy

Viewsy provides analytics for offline retailers by supplying insights about customer behavior patterns, such as customer loyalty and time spent in the shop. The British location analytics startup comes to solve a common problem faced by retailers: understanding customer behavior in physical space in order to manage businesses better.

Odera Ume-Ezeoke

Odera Ume-Ezeoke, founder and CEO of Viewsy

The startup, founded in 2011, is rapidly growing and already counts clients like Vodafone and ABN AMRO bank. In today’s interview, we talk to Odera Ume-Ezeoke, founder and CEO of Viewsy, about how they use Big Data to help companies effectively manage physical environments.

The first thing we read on Viewsy website is: “Measure and Manage foot traffic like never before”. Could you briefly explain how it works?

We install discrete passive sensors in store to analyze visitor movements within and between the client’s stores. This data is anonymized and then securely transmitted to Viewsy’s analytics platform, which calculates store statistics on footfall, store visitor flow, and other key metrics. The resulting analysis and data is made accessible via the Viewsy dashboard and reporting suite.

Does this technology also benefit consumers?

Absolutely – our technology has a wide range of applications, including many that have a direct benefit to customers, such as improving store layouts to avoid overcrowding, reducing checkout queue wait times, understanding surge footfall to increase safety (such as in a large arena or football stadium), and enabling better positioning of customer service or security staff. We also offer retailers the ability to provide an option for customers to opt-in and receive special offers and discounts.

How do you think physical shops of the future will be?

When I visualize the retail store of the future, I see a cross between Amazon, Argos, and Apple – A wide open retail showroom space with a very human approach to product education and support, served by an enormous, wholly-automated stockroom that can fulfil purchases within a couple of minutes. In this vision, the relationship between customers and the brands has the same directness that we are starting to see develop with virtual shops, with customers able to use their smartphones to interact with areas of the physical store to leave feedback, receive product recommendations and offers, and conduct product research.


Isabel Alexandre

Meet CODE_n finalist Aentropico

Sebastián Pérez Saaibi

Sebastián Pérez Saaibi is the CEO of Aentropico

Aentropico is a Latin American Predictive Analytics startup, based in Bogotá, Santiago and Rio de Janeiro. It helps medium and large businesses by transforming common data sources into powerful predictive insights that improve decision-making. The startup is one of the Top 50 finalists of CODE_n and will be at the CeBIT 2014 to present its Big Data solutions. 

In today’s interview, Sebastián Pérez Saaibi, CEO and Co-Founder of Aentropico, tells us how their DataApps can increase sales, cut costs and enhance the productivity of retailer companies. He also talks about their expectations of being part of CODE_n.

Aentropico is present in various Latin America cities. Does it benefit the startup in a different way?

Being in several countries is a calculated risk that we took as an opportunity to have the best of both worlds: In MassChallenge (Boston, MA) we were able to strengthen our ties to the MIT MediaLab and Harvard research groups as well as test our product with the powerful MC mentor network. On the other hand, at 21212/StartupBrasil we leveraged their strong commercial, talent, and mentor networks in Brazil to be able to have a soft landing in the country. Knowing the Chilean and Colombian ecosystems as a part of StartupChile and operating in these countries gives us a strong Pan-American expertise and connections. These ingredients have contributed to a more mature startup, ready for the challenge of becoming Latin America’s prime Predictive Analytics company.


Harald Labes

Salesforce: Our participation in CODE_n at CeBIT

This year salesforce will not only be at CeBIT in Hall 4, but also alongside CODE_n in Hall 16 (Stand D30_65). As the marketing representative responsible for startups and SMEs, I’m really looking forward to it. The whole of Hall 16 will be transformed into a large-scale artistic composition featuring 50 startups. So what exactly are we planning?

Harald Labes - SMB Campaign Marketing Manager DACH at

Harald Labes – SMB Campaign Marketing Manager DACH at

Strategic partner to startup companies

In collaboration with other leading CODE_n partners such as Google, Continental and Dassault Systèmes, we will be presenting ourselves as a strategic partner to startups and growth-oriented SMEs. This is because our solutions are scalable. In other words, they grow as companies grow. Also, the spirit of a startup still runs through our veins at We’ve maintained the initial “youth” and “vitality” of a company shooting out of the starting blocks – even if we’ve already been on the market for 15 years and could already be considered “long in the tooth” in the cloud business. Maybe it’s because our business roots are firmly in the ground in Silicon Valley, where we are surrounded every day of the week by countless startups. But in a nutshell: is a perfect fit with CODE_n and the startup hall at CeBIT.

What do we have to offer?

Our booth comes under the banner of “your Business” – and is broken down into three areas: More…

Isabel Alexandre

Meet CODE_n finalist G|Predictive

Björn Goerke is the CEO of G|Predictive

Björn Goerke is the CEO of G|Predictive

G|Predictive is a startup based in Germany that offers individual predictions on constantly recurring questions within the marketing and sales process. The enterprise developed Customer Lifetime Suite, a software-as-a-service application which provides an up-to-date overview of the current and future behavior of customers, each of which is analyzed individually. We are looking forward to meeting G|Predictive, one of the Top 50 finalists at the CODE_n contest at this year’s CeBIT. Björn Goerke, founder and CEO of the startup, will tell us a little bit more about their Big Data solutions and also how they are preparing for CODE_n.

When was G|Predictive founded and what was its inspiration?
G|Predictive was founded in December 2009. We started off consulting in the general field of big data. We soon realized that we there was a need for products. So, in late 2011 we made a complete u-turn and subsequently withdrew from the consulting business to focus on the product business. We hired data scientists and developers, and are currently building a sales force and are delighted to report that we are gaining momentum. More…