Human-centric artificial intelligence ― for humans by humans
Our Data for good approach means that we process the data of our clients and business partners in an ethical and responsible manner.
What’s more, we always question whether AI actually solves a problem or just sounds smart.
We use technology to empower people
Tell us about your project
AI (Artificial Intelligence) is the automation of tasks that require human intelligence. AI can solve a multitude of problems, and it can play a valuable role in recognizing errors, health diagnostics and traffic optimization, for example.
The countless possibilities for the use of AI can help solve problems and develop new business models, but it requires a responsible and ethical approach to data.
By means of artificial intelligence, machine learning and app development, Ambolt has added value to areas as different as:
Connecting doctors and patients by means of an app where questions to the patient are asked intelligently by an underlying machine-learning algorithm. Thus, a chance for the doctor to reduce time on initial diagnosis and be better prepared.
Traffic regulation to optimize traffic efficiency especially during rush hour and consequently reduce fuel consumption.
Helseboka Connects Patients and Doctors.
Helseboka provides the patient with an overview of their own health. It allows easy access to...
A unique AI platform that strengthens your own AI solution
Our experience with AI projects has shown us that many people who work with AI solutions would ideally like to leave the basic configuration to someone else and to concentrate on the actual problem solving themselves.
We’ve met this desire to be able to skip the basic configuration by developing the “Emily AI” platform. Emily AI allows you to bring your industry experience and expertise to the table while letting Ambolt provide the AI platform and serve as a sounding board and consultant.
Emily AI is in use in a host of different applications and is also set to be used in teaching at universities all over the world.
Identification and alignment of expectations based on an analytical and honest approach as well as an ethical basis for the collaboration. Projects must meet the “Data for good” standard.
Purpose and clarification. We identify what AI aims to solve, and clarify what decisions or actions need to be taken based on the solution. What are the requirements for the AI model and how do we benchmark those requirements?
Our approach is to analyze rather than assume that data is of a certain volume. This must be assessed critically by means of natural intelligence. Of course, we don’t know what we don’t know – and this must work in our clients’ favour.
Data is not just data. When we work with machine learning, we do so in close collaboration with our clients to create the optimal value. Our experience must fulfil your ideas about how far machine learning can take us and enrich your project with new possibilities and new predictions and outputs.
Traffic challenges, new possibilities in quality control or surveillance – computer vision is there in many aspects of our everyday lives. We specialize in computer vision, and through our approach, we create solutions that create value.