As you may have read in the news, Waylay recently completed a 1.2 Mio EUR funding round.
The funding round was led by PMV and Ark Angels Activator Fund (AAAF), two Belgian VC funds. It is a milestone for the company and the investment will allow us to accelerate growth. In particular, we want to expand our customer base and partner network while growing our team based in Ghent, Belgium.
Much of the discussion around the Internet-of-Things has centered on devices, connectivity and IoT platforms. At the back-end, these IoT platforms provide secure and scalable device onboarding via cloud solutions. While devices, connectivity and IoT platforms are cornerstones for a good and economically viable IoT solution, these should not be the only point of attention.
We have recently changed our tagline from ‘Smart Reasoning for the Internet-of-Things’ to ‘Orchestrating the Enterprise Internet-of-Things’. In this blog post, I want to spend a few words on why we have made the change.
Last week, we were at Unbound London as part of ChallengeUp!, the IoT accelerator by Cisco, Intel and Deutsche Telekom. As one of the winners of ChallengeUp!, Waylay was invited to demo its platform and pitch at the conference.Waylay showed the future of smart lighting at the demo booth. We steered lighting based on info retrieved from APIs and software applications, such as weather information, traffic intensity, time of day, warnings in case of accidents etc.
The city of Ghent has been a long-time pioneer of open data. Also the Ghent Traffic Control Center strongly believes in the societal and economic added value that open data brings. While exploring new ways to leverage real-time traffic data, the Traffic Control Center turned to Waylay to make these data immediately relevant to citizens. There are various sources of traffic information: the railway and bus companies, the national road-monitoring agency and the city all publish real-time traffic data.
In this post we will dive a bit deeper into the technology of the waylay platform and explain why waylay is the ultimate rules engine for IoT. Let's start by reviewing the importance of rules engines for IoT, and specific challenges that IoT imposes on them. Much of the power of IoT stems from the fact it allows us to take more accurate decisions in real-time. This enables use cases for notification, automation and predictive maintenance, provided one has the tools to react in real-time on real-time data.
In enterprise Internet-of-Things (IoT) discussions, there is a lot of emphasis on: securely onboarding devices, getting device data to the cloud in a scalable way and at an acceptable cost, and remotely managing devices. Those are indeed essential building blocks, but things should not stop there, as IoT is not an isolated system. In order to create business value, enterprise IoT solutions need to integrate with existing business processes, people and systems.
For the last few years, CODE_n has made itself a name for bringing fresh, innovative companies to CeBIT. This year, CODE_n was all about IoT: "50 startups from 17 countries showcase their innovative Internet of Things approaches". Indeed, more than 400 companies applied and 50 companies were selected to showcase their technology at their own booth in hall 16 at CeBIT.
Hello everyone, This is a short post with a few words about Mobile World Congress (MWC) last week in Barcelona. At the same time, we are looking forward to CeBIT in Hannover next week. On monday evening, Piet was at the IoT Stars event, organized parallel to the MWC main fair. IoT Stars IoT Stars was a startup pitching event for Internet of Things companies.
With the advent of IoT (Internet-of-Things), sensor-based applications are no longer confined to the factory floor, but sensor-enabled systems are all around us: in cars, appliances, smartphones, buildings, cities etc. From a back-end perspective, IoT systems are no longer based on closed, fit-for-purpose architectures as their M2M predecessors, but are able to interact with other applications and open to future innovations.
Hi guys! It's been a while since our last blog post. First, let me give you some update, before we get to a Rome story: Francis (@somatik) CTO of carambla joined our team !! yes! Great guy, great coder, and I really enjoy working with him. Now we are moving fast, light speed. We are in the process of changing our website, so you can expect some new team pictures shortly!
It’s been a while since i posted a blog. That’s not because of the ‘Gentse Feesten #GF14’ or because we are enjoying a summer holiday break at waylay. On the contrary, we have been extremely busy! Last week, we reached another milestone: alpha testing. Based on our many customer interactions during the last months, we refactored our UI and made it easier for people to create new software-defined sensors.
The Internet-of-Things provides us with lots of sensor data. However, the data by themselves do not provide value unless we can turn them into actionable, contextualized information. Big data and data visualization techniques allow us to gain new insights by batch-processing and off-line analysis. Real-time sensor data analysis and decision-making is often done manually but to make it scalable, it is preferably automated.
In a previous blog post titled 'Contextualized experiences require more than sensor data', I have argued that many IoT applications still feel very gadget-alike. An additional layer of intelligence, that takes into account context, can make IoT applications more accurate and more personalized. In this blog post, I want to look at where that intelligence is best located: in the cloud, on end-user devices such as smartphones and gateways or somewhere in between.
These days, there is a lot of buzz around IoT (the Internet-of-Things), with predictions of an astronomic amount of connected devices in the near future, and market opportunities that are multiples of that. Based on affordable sensor technology embedded in all types of objects, IoT will connect our everyday life to the Internet and has the potential to drastically transform the way we live and work.
In early markets, individual companies tend to come up with complete solutions in order to overcome interoperability problems and to offer customers a one-stop shop for end-to-end solutions without headaches. However, as technology evolves and becomes more mainstream, the value chain decomposes and components of the ecosystem are delivered by different parties, each with their specific focus and specialization.