Why gamble with your data?
Our machine learning and Big Data team has helped 20+ top companies solve critical business problems with practical machine learning solutions. Kagera provides made-for-you machine learning solutions to give you a competitive edge in the energy industry.
Machine learning isn’t a replacement for humans. It automates analytical tasks to help your team make data-informed decision faster.
New tools don’t need to disrupt your workflow. Our team builds solutions that fit seamlessly into your processes to speed up discovery and optimize development timelines.
You won’t solve complex challenges with pre-built tools. We work alongside you to develop one-of-a-kind solutions to your problem, building on your team’s domain knowledge.
Solutions & Services
Kagera is more than consultants—we’re a team of developers, Business Analysts, Data Scientists, and Engineers. We build fully innovative solutions and we don’t rest until your solution is live and implemented in your business.
Some of our clients
Great effort and highly performance during project execution and looking forward to more cooperation with them.
We are truly moved by level of innovation Kagera AI and Optimize introduce in our company HSE project.
We want long term cooperation with you.
Manja delivered extraordinary work and thinking outside box helped us to see how we can move forward in our projects.
It was great to work on several projects at the same time and to uncover the power of AI from my side and from Manja's side. A pleasure to work.
We are very satisfied with work with Optimize GS and Kagera. As we will continue to collaborate in the future.
Machine Learning Solutions in 6 months
We’ve refined our process over the 16+ successful projects to get from idea to production software quickly with minimal risk or upfront investment.
Consultation & Education for Executives
Our workshops where Executives learn how to use disruptive technologies to exponentially boost their company’s success.
From Data analytics, Business Intelligence, Machine Learning, Deep Learning, Big Data, and data automation web applications
Disruptive innovative solutions
Our machine learning and data science team has brought several projects to the market. We’ll guide you through the process to help you minimize your risk and optimize your company performance with no additional missed deadlines.
Our Methodology to not gamble with your money
Successfully implementing machine learning in your business requires both expertise in data engineering and domain knowledge. Most often management teams think they can implement best practices for data analytics by directly adopting advanced technologies, such as machine learning (ML) — which leads to failure.
Enterprises are focusing on innovation to stay competitive by driving digital transformation: the adoption of digital technologies to reinvent business processes and customer experiences to achieve more agility and improved KPIs.
• Scalable data service to expose all data.
• Centralized policy-based governance and security infrastructure.
• Effective methods to gather all the metadata and make it discoverable.
• Kubernetes and the cloud for elastic disposition of resources.
2. Minimize the downtime
A McKinsey study shows that diverse teams achieve better outcomes than homogenous ones. Companies that embrace diversity have a 33% greater probability of achieving above-average returns.
Tech and data science have historically been homogeneous industries. This is a problem when data scientists only represent one way of thinking, so they are likely to bring those unintended biases into the collection of data and algorithms used in applications. In addition, it’s a possibility that collected data already represents bias that was applied even before software and algorithms were involved. Simply put, if the data you are using has biases baked in, the machine will learn these same biases.
3.Optimize the production
Our team develops effective tools which smoothly cooperate with the existing software. We build our solutions based on innovative technologies like machine learning and big data.
2 Kraljice Marije Street, Belgrade, SRB
Monday-Friday: 9am - 5pm CET
We'd love to hear from you. Here's how you can reach us.