On a stadiums by analyzing real event and providing useful data
by analyzing and learning your employees behavior patters or simply providing intelligent doorbell with recognition
by forecasting sales, prioritizing actions based on lead scores, by automating sales activities
by adding biometric learning mechanisms that will let your users get what they needby scanning their finger or face.
by displaying dedicated ads based on users profile and appearance
Early detection of diseases based on laboratory photos
You’ll find out that our production process is quite visible, as we always follow certain path (with you)
AI, ML need assesment If AI won’t be any help, at least we'll s ave you time and money by not implementing AI.
You might have a sufficient amount of data ready for collection and analysis. We will collect the needed data from online sources if possible. Then we'll process these data to find patterns and correlations.
Now, it would be the time to build learning models and that is going to require our experience, practice and still a lot of experimentation with further discovery of your bussiness needs. Don’t worry, it happens as iterations - sprinting team shows you the end result on demo each sprint.
Once you’re happy with the results, you may pull the „go live” trigger so your product is going to start to fill the purpose. This is continuous road, self improvement will still require human hands and brain… well, just from time to time.
Below you'll find ready to use, out of the box products, that are intelligent and learn.
Facial recognition library for your product.
SDK AI (ML) that recognizes faces.
Communicates with the application on a current basis, processing information from the camera and sends a confirmation of identified person, making decisions about the release of the electromagnetic lock or triggers other events.
Live face recognition with high efficiency and speed.
Authorized persons management is possible directly through the administration panel. The possibility of embedding on customer devices or running in cloud technology. Specification: 96.6% at FAR = 0.1, 90.5% at FAR = 0.01, configurable threshold of effectiveness.
Library delivered as a mobile Android / iOS framework and an administrative part (backend).
It is a ready solution with the possibility of manual adjustment of effectiveness without the need to use the services of a programmer. It has ensured continuous development without involving your own resources.
Objects recognition library for your product.
AI library (ML) that recognizes objects and tracks them in real time during sports events.
Communicates with the application on a regular basis, processing information from the camera. Displays the information given on the recognized objects.
Recognition of competitors during sports events.
It is used in: American football, hokey on ice, indoor volleyball, football and indoor football. The library is installed on a mobile device with a parent application, e.g. an application that supports a sports club. From the position of the end user it is an integral part of the mobile application in which it is nested.
A ready-to-use element, operating on the basis of input-outcome communication.
The library is delivered with a customizable view and implemented into an existing mobile application. It is a one-off purchase cost. It provides advanced functionality without involving your own resources.
Build something new
Improve existing project
Extend my team