Creating Customer Value with Technology
Choosing the Right Tool for the Job
The IT and software technology environment is constantly changing. New programming languages, development methodologies, and application frameworks are released with increasing speed. The same applies to computer science research that is rapidly producing cutting-edge results in machine learning domains, artificial intelligence, software engineering, and optimization algorithms.
Keeping up with emerging technologies, new industry standards, and state-of-the-art approaches can be tiring. So we will do it for you. Following all those new trends is our job. We are software engineering professionals who all have many years of experience working in large software projects, often in R&D settings, and have been publishing in our respective computer science research fields.
Everyone at Ateleris has an affinity for technology. We are thoroughly aware that technology is a tool, and its use must be driven by your product, your business case, your customer demands – not the other way around. Technology must be chosen wisely to fit the desired purpose. And technology has limits too. We assist you in choosing the right tool for the job.
Algorithms & Data
Building Intelligent Apps using Artificial Intelligence
Designing applications with smart algorithms that help and guide you and your users or even make autonomous decisions. All based on your data.
Designing Smart Software using Machine Learning
Machine learning algorithms learn from you and your data and can automate regular tasks or continuously monitor complex data to detect anomalies or bring important events to your attention.
Optimizing Processes using Mathematical Programming
Our optimisation algorithms find more cost and resource-efficient ways through business processes modelling (production planning, scheduling, packing, placing, etc.).
Specialty Software & Apps
Controlling Hardware using Embedded Software
Writing efficient code – in C/C++ or even assembly – to control scientific instruments, robots, or other embedded systems.
Building Space & Science Applications
Writing software for instruments and science applications touches many of the aforementioned disciplines and requires a good understanding of fundamental and complex scientific mission objectives.
Exploiting Scientific Data
Building data processing pipelines and machinery that pull in raw data, transform it into scientifically useful data products, and help scientists search and find, reduce, combine, analyze, and visualize data.
Web & API Solutions
Developing Full-Stack Web Applications using Web Technologies
Developing light self-contained web services in Java and Spring Boot, Python, and C# and ASP.NET, exposing self-documenting APIs with Swagger, authenticating users with OAuth2, and designing beautiful user interfaces in Angular or Blazor.
Operating High-Availability Web Services using Docker, Kubernetes & Cloudflare
Machine learning algorithms learn from you and your data and can automate regular tasks or continuously monitor complex data to detect anomalies or bring important events to your attention.
Business Analytics & Intelligence
Analyzing Your Business Data using Data Science
This is all about collecting, preparing, and combining data from multiple sources, asking the right questions, and visualizing the findings, to create insights and surface hidden information.