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About Us-prev

Mulytic Labs was founded in 2018 after seeing first-hand how difficult it was for companies to use data to create real solutions to real problems. Starting with a single customer in Munich, Mulytic Labs has expanded to 3 continents – creating solutions for many companies and putting the right data into their hands at the right time. We embody modern data – with people from all over the world. Unlike other data companies that focus only on new and shiny technology, Mulytic Labs focuses on delivering impactful solutions that provide substantial benefit to customers’ business.

We deliver actionable insights – you take respective business decisions to move your company forward. Our data science services will help you stay well ahead of the competition, take the guesswork out of your consumer-driven decisions, drive your revenues growth and improve the overall operations efficiency.Our dedicated data science specialists have extensive experience with the next technologies.

Digital. Website. Internet. Platforms. IoT. 5G. Ecosystems. And other “words” like these ones– all end in “Data”. We deliver scalable advanced analytic and technical solutions to handle challenges of national and global significance. Focused on mission success, we pioneer disruptive technologies in machine learning, data analytics, full-spectrum cyber, open source analytics, cloud engineering, DevSecOps, and multi-INT analytics for domains like automotive, renewable energy, financial institutes. Our mission is to supply intelligence and analytical tools to help business leaders make better, faster decisions. We are known for our industry-leading solutions, manufactured from research, data, software, and professional services, assembled to deliver a seamless customer experience. We create confidence in organizations worldwide, with our commitment to excellence, open mindset approach, and target meeting customer needs. during this manner, our mission is to empower our customers to create better, faster decisions.

Our vision is to greatly expand the capacity to implement data science research, industry collaborations, educational programming, and the availability of cutting-edge computational tools. This is being accomplished by championing education and training opportunities, catalyzing faculty growth, and building relationships with industry, government, philanthropic, and community connections. The challenge is to communicate the value data science brings to organizational decision making; demonstrate how methodologies can be applied within and across virtually any sector to better understand and optimize opportunities, and innovate new and better tools to continuously improve how organizations gather, curate, interpret and utilize data.