Menu

We Help You Innovate With Data Science & Other Digital Technologies.

Smartified is a Boutique Digital Technology Company

​Data

​We explore data opportunities to open up new business opportunities. First: we perform an internal data discovery​. Next: ​re-purposing ​data collected by 3rd parties ​& open data​.

​Machine Learning

​We help you innovate with data science and machine learning. If simple dashboards or 3rd party apps are insufficient our PhD's will create custom algorithms. ​

​AR & VR & MR

We develop Augmented Reality applications for museums ​and for "remote technical support". Virtual Reality is used for safety ​​training ​or learning to use new equipment. ​

quote-left

Many thanks again for your excellent work. I hope to work with you again as I look towards creating more international touring exhibits through National Geographic.


Dr. Frederik Hiebert

How We Are Different

Limited Cost

Our projects always start small​. We grow the project by taking small, iterative steps.

​Start Simple

We look for the simplest solution first. If you're new to "big data" that's often ​sufficient​. 
70% of the work is getting the right data, clean it, make sure it all works.
20% is ​engineering, creating dashboards, implement 3rd party apps.
10% is actual ​Machine Learning.

A 360° view of your data

We sometimes complement ​your internal data ​with open data, re-purposed or "alternative data" sources.
Here is why: datasets can be biased and cloud the "judgement" of an algorithm. 
​Other times the data is insufficient to draw conclusions from or make useful predictions. ​

​Experienced Team

Who we are

​Smartified was founded by the team of Farlang. For ​them we created a Machine Learning recommendation algorithm based on "taste" which received government grants - twice. 

​​Our previous project was mentioned by NPR, PBS, Bloomberg News, New York Times and London Times to name a few.

How we work

Our team is empathetic, social and aware of your business & financial needs as well as internal dynamics. ​

​​We look at "big data" and "algorithms" from different perspectives. For example ​(human generated) behavioral data ​​is sometimes better understood and predicted ​by including the underlying thought processes and emotions.