Filiz Sarah Gärtner

CODE_n Alumni | Catching up with … Massive Analytic

Massive Analytic, a pioneer in Artifical Precognition, was one of CODE_n’s finalists in 2014 and has come on leaps and bounds since its time with us in Hanover. In our next part of the CODE_n Alumni catch-up series, we talked to CEO George Frangou about the young company’s most important learnings and greatest achievements (like building a relationship with Microsoft) since then.

massiveanalytic

Following on from your time as a CODE_n finalist, what have been Massive Analytic’s greatest achievements?

George Frangou: I would say our greatest achievement has been the launch of Oscar AP on the Microsoft Azure Marketplace in June of this year. Our technology is now available for purchase. It’s exciting to be building that relationship with Microsoft. We’re also proud of our entry to the Lockheed Martin Virtual Technology Cluster. Getting both of those endorsements have been great for us.

What lessons have you learned or failures you’ve experienced and how have you coped with them?

George Frangou: The key lessons we have learned over the last year is to get our product messaging right. Often it is easy to be passionate about the product and describe it in a manner that does not resonate with the target audience. We were able to set that right on the back of our involvement in CODE_n and the client engagements that followed immediately.

What were your biggest takeaways from your time at CODE_n?

George Frangou: The biggest takeaway from CODE_n for me was seeing how many young innovative companies there are doing different and exciting things. It was great to share experiences and inspiring to see what’s going on. More…

Filiz Sarah Gärtner

GPredictive (Germany) – Knowing in advance who is bringing in the turnover

GPredictive-Björn Goerke

Goerke, Founder & CEO of CODE_n Alumnus GPredictive

As CODE_n finalists from 2014, they are attending CODE_n15 at CeBIT as start-up veterans: GPredictive from Hamburg analyzes buying behavior from customer data to derive patterns for the future. The young company offers its analytical expertise as software-as-a-service. This means that it is affordable for smaller and medium-sized companies too.

As alumni, you’re again represented at this year’s CODE_n15 at CeBIT. Looking back, what were your impressions last year of your CODE_n premiere?

Björn Goerke (GPredictive): I think the entrepreneurial spirit at CODE_n is really exciting. There was a tremendous amount of energy in the venue. And the interest that our stand generated was simply overwhelming. It was usually after 4 p.m. before I managed to get anything to eat … Being mobbed by so many interested trade fair delegates was great fun. Everyone who came to see us really enjoyed looking at our business model.

What’s happened to your start-up in the last twelve months?

Björn Goerke (GPredictive): We’ve doubled in size and we now have a ten-strong team. We sourced a major investor in the form of Target Partners, and we’re now in a position to increase our team even further. Overall, we’ve massively optimized our product approach. Our analytics solution “Scores out of a box” now runs virtually fully automatically, which means that we’re able to respond much more quickly than we did a year ago. We now have a mature product and a growing number of satisfied customers. More…

Lena Gaede

CODE_n14 finalist Graphmasters: “We make individual decisions for every driver”

The team behind Graphmasters, a young German company, has developed an internet-based traffic management solution for navigation devices that helps drivers avoid traffic jams. They claim to be the first company providing individual routes and decisions for every driver. Christian Brüggemann, one of the founders, explains what sets his company apart from the competitors.

CODE_n @ CeBIT took place at the beginning of March – several weeks have now passed. How did you experience your time at CeBIT and especially the weeks after?

The Graphmasters Team

The Graphmasters Team

CeBIT was a great opportunity to meet potential new customers. I was really surprised by the quality of the discussions we had at the booth. The week was packed but nonetheless fun, and it certainly helped us a lot in the long run. After CeBIT, we have had many follow-up meetings and have now started projects with some of our new customers.

You have developed a traffic management solution. How do you gather the necessary data? And how do you use it for your business model?

At Graphmasters, we believe that the only way to optimize traffic flow is to prevent traffic data from being broadcast. Whenever traffic data is broadcast through a channel over the internet or radio, navigation systems use it to recalculate alternative routes, so decisions are made on those individual devices. But with all devices making decisions based on the same data, this has an impact on further traffic jams. Ultimately, one could argue that live traffic data becomes worthless as soon as it is broadcast. That’s why we gather anonymous data from client devices using our service and do not broadcast it anywhere. Instead, we make individual decisions for every driver based on the data we’ve collected. More…

Lena Gaede

CODE_n14 finalist OpenDataSoft: Turnkey solutions made in France

We are happy to introduce you today to one of the French startups who made it amongst our Top 50 CODE_n finalists 2014: OpenDataSoft, located in Paris. Jean-Marc Lazard and David Thoumas founded OpenDataSoft in 2011 and have been on a successful journey since then. We had the chance to talk to Jean-Marc who explained their business model and the benefits in more detail.

Please describe, in three sentences, what OpenDataSoft does.

OpenDataSoft CEO Jean-Marc Lazard

OpenDataSoft CEO Jean-Marc Lazard

OpenDataSoft developed a turnkey SaaS platform designed to easily and intelligently transform all types of data into innovative services (APIs, data representations, real-time monitoring). OpenDataSoft’s mission: to make it easier for business users to publish, share, and reuse data. With OpenDataSoft, any non-tech user can turn any data into interactive data representations and share it anywhere on the Web (social media, website embeds). They can also turn this data into APIs to build innovative business applications.

Tell us a little about your clients. What sectors do they come from? What are their needs?

Our customers are both public administrations who use the platform for their open data portals, and companies who want to share data with their internal and external ecosystems (e.g., news media agencies using the platform for data-driven journalism or utilities and transportation companies using the platform for data management).

Our customers want turnkey solutions that directly address their business needs. These include:

  • comprehensive open data portals
  • data marketplaces for targeted data broadcasting via APIs
  • data-driven journalism tools

The standard OpenDataSoft version can be used for all of these use cases, without complicated deployment or customization. More…

Isabel Alexandre

Meet CODE_n finalist LeanCiti

Eran Aloni

Eran Aloni is the CEO of LeanCiti

In line with the vision of a “Smart City,” LeanCiti enables people, municipalities, and communities to share any type of city-related data about resource consumption within a social network. The platform, created by the Israeli startup LeanCiti, uses big data to help cities and its residents make informed decisions, plan ahead, and use resources optimally. It is applicable in a variety of scenarios, from renewable energy production to water consumption, the reading of smart meters, or the measurement of greenhouse gas emissions. 

The startup was one of the CODE_n14 finalists and had the opportunity to present its project during the five days of CeBIT. In today’s interview, we talk to Eran Aloni, CEO of LeanCiti, about smart cities, their big data solutions, and how they experienced the time spent in the CODE_n hall during CeBIT.

Could you briefly explain how the smart resources platform LeanCiti works?

LeanCiti collects data from smart meters and smart devices that monitor energy consumption and production in smart city environments. We use social networks to change consumption behavior and study patterns, and also allow consumers, producers, and cities to share, compare, and define goals.

How do you encourage usage and get people involved with the platform?

Social engagement, environmental awareness, and gamification.

More…

Isabel Alexandre

Meet CODE_n finalist AutoGrid System

AutoGrid System is based in Silicon Valley, more precisely, in Redwood City, California. The American startup organizes the vast and growing amount of energy data produced from an increasingly networked and automated grid. With deployments of smart meters, distributed generation, and other grid sensing technologies reaching critical mass, the electricity supply chain now has to deal with greater data volumes than ever before. And AutoGrid is here to work on this problem, improving the production and consumption of electricity.

Amit Narayan, founder and CEO of the startup, explains to us a bit more about how the company connects big data and the energy industry. He also talks about their experience at CODE_n during CeBIT.

Amit Narayan

Amit Narayan, founder and CEO of AutoGrid System

How does AutoGrid use big data, predictive analytics, and cloud computing to optimize the electrical grid?

Autogrid organizes the world’s energy data using Internet-scale, secure cloud computing to process the petabytes of information produced in an increasingly networked and automated grid. AutoGrid employs big data analytics to generate real-time predictions and implement programs for electricity generators, providers, grid operators, and their customers to optimize the use of assets across the grid and manage costs through a comprehensive Energy Data Platform (EDP)™

Apps built upon EDP™ are powered by forecasting and optimization engines, managing functions such as:

  • End-to-end Demand Response with our Demand Response Optimization & Management System (DROMS)
  • Home Energy Management through our customer portal, which Schneider is white-labeling as their Wiser product
  • Peak Charge Management for facilities with Energy Cost Optimizer (ECO), an app co-developed with NTT DATA

Who can use AutoGrid’s platform and how?

Anyone along the electricity value chain can use AutoGrid’s platform and apps, including utility companies, power retailers, ESCOs, facilities, and customers. Apps on the Electricity Data Platform (EDP) are Web-based. Users can subscribe via a Software as a Service (SaaS) model. Additionally, resellers can license the technology. Silver Spring Networks is reselling our DROMS app as their own product, as “Demand Optimizer” within their Utility IQ suite.

More…

Isabel Alexandre

Meet CODE_n finalist Avansera Oy

“Can you see the future? It is in your hands.” That is how Avansera Oy presents itself. The Finnish startup, that combines historic behavioral data with calculated future intent, can predict what consumers will buy.

Cormac Walsh, CEO and Founder of Avansera Oy, talks in today’s interview about how Big Data can benefit the Fast-Moving Consumer Goods companies and retailers. As one of the Top 50 finalists, he also tells us his experience at CODE_n’s hall during the CeBIT.

Cormac Walsh

Cormac Walsh is the CEO of Avansera Oy

Why create a startup like Avansera Oy?

There is a strong need from the Fast-Moving Consumer Goods (FMCG) industry to see what shoppers are doing in the physical world; this is the core of the need for our customers. To provide the necessary context, let us look at the current market analysis business. Consumer behavioral data is collected through online activity related to online activity, or through questionnaires and focus groups. These approaches are limited in terms of reach and accuracy. Online data collection related to online behavior misses the behavior in the physical world, whereas traditional questionnaires and focus grouping have low accuracy and are very expensive (non-scalable).

In Avansera Oy, we deal with both of these issues. By providing accurate and scalable consumer digital services specifically relevant to the physical world, we can offer a high-value service at a lower price point than the traditional competition.

In an average week in the EU, there are over 600,000,000 grocery trips, not much of this physical data is currently being collected. At Avansera Oy, we want to collect as much of it as we can, and use it to benefit industry and society.

More…

Janina Benz

CODE_n at CeBIT 2014 – a review

Weisshaar and Kram designed the artistic concept with 12 meter-high terapixel displays everywhere

Weisshaar and Kram designed the artistic concept with 12 meter-high terapixel displays everywhere

The time we spend each year at CeBIT is always a professional and personal highlight. As the CODE_n team descends on Hall 16, our thoughts are occupied by the artistic design, the people behind the startups, and the upcoming award show. We will never forget the moment when we walked into the hall for the first time – wow! 12 meter-high terapixel displays everywhere. At this point congratulations have to go to Weisshaar and Kram for their outstanding artistic concept. There could never have been a more appropriate concept to showcase the 50 most innovative startups from all over the world and their big data solutions.

We’re proud to say that 17,000 people visited the CODE_n hall this year. This excitement was also reflected by the press, venture capitalists, bloggers, and visitors in general. In total, there were 50 startups from 17 countries, creating a palpably entrepreneurial spirit. Everyone was just thrilled by the atmosphere. More…