More than one way of solving problems
Technology is ingrained in our world. Yet, many people look to technology as the deep unknown.
Although everyone uses some form of technology in their daily lives, many confuse it with something volatile and potentially scary, while some opt not to think about it at all, which can be equally frightening.
From the earliest tools to the first lines of code of the latest apps, the story of technology is simply the history of people solving problems: overcoming challenges through creative thinking and effective engineering.
And yet, for many business leaders and teams, technology still feels intimidating. People naturally fear change, and we’ve seen technology shape and reshape our world at a staggering rate – impacting almost every aspect of how we do business and how businesses work.
You know that technology holds huge opportunities – you’ve seen companies ride its waves to unprecedented heights – but you’re not sure that you or your workforce are equipped to take advantage.
You’re not alone. It’s quite common for our clients to ask us over coffee: “What’s an API? I hear it all the time, but i’ve got no idea what it is and I’m too afraid to ask. I’m worried that one day someone will ask me.” The real solution is more than just having buzzwords in your vocabulary – it’s far more important to understand how technology actually works. And it’s not as scary as you would think.
Once you grasp the fundamentals of the digital world – not acronyms or jargon, but the hidden logic of how computers, coding and the Internet actually work – you can leverage it to do so much more. With that flash of clarity, you’ll see the digital landscape with fresh eyes.
We are here to help you do that.
AI involves using computers to do things that traditionally require human intelligence.
The difference between AI and regular programming? Regular programs define all possible scenarios and only operate within those defined scenarios. AI ‘trains’ a program for a specific task and allows it to explore and improve on its own. A good AI ‘figures out’ what to do when met with unfamiliar situations. Microsoft Word cannot improve on its own, but facial recognition software can get better at recognizing faces the longer it runs.
ML identifies patterns and predict outcomes.
Many organisations sit on huge data sets related to customers, business operations, or financials. Human analysts have limited time and brainpower to process and analyse this data. Therefore, machine learning can be used to:
- Predict outcomes based on input data, like fraud detection.
- Find insights or patterns in large data sets that human eyes sometimes miss.
- Do a lot more in less time. Bye bye grunt work.
Scientific methods, algorithms & systems to extract knowledge from big data.
To do AI, you need Machine Learning. To do Machine Learning, you need data. Lots of it. AI algorithms are trained using large datasets so that they can identify patterns, make predictions and recommend actions, much like a human would, just faster and better.
Data Analytics is an on-going process of discovery, interpretation and communication of meaningful patterns in data, in order to develop solutions.
Transit before your final destination.
There are plenty of risks and unknowns when bringing a new product or feature into the market. In order to address this, we have devised a method that allows you to test your idea in a fail-safe environment.
Our MVP-development framework turns your concept into prototype in 4 weeks by implementing an agile approach, leaving plenty of room to test and improve your product.
Web & Mobile Development
iOS, Android, Web and more
Building a home in the digital world can take many shapes and sizes. Whether you’re looking to build your own mobile app, a new website, or improve on your marketing, our diverse team is equipped to provide you with end-to-end development of digital solutions for web and mobile.