About MindTitan


MindTitan was founded in 2016 to help businesses with machine learning, deep neural networks, and data mining. We realized that not all companies need an in-house AI team. Instead, they can benefit from working with an established team of machine learning experts with a far-ranging experience.

Our team has background in machine learning, deep neural networks, and data mining. In the past 12 months, we’ve worked with large international companies such as Elisa and Cleveron, helping them build AI-powered solutions. 

MindTitan’s goal is to act as an advisor for organizations looking to apply machine learning and put their data into good use. We’re specialized in consulting, business intelligence, and developing machine learning projects.
 

 

Meet our team 

 

All MindTitan's team members have a background in data science and machine learning. You can rest assured that your AI projects are in good hands.

 
 
Kristjan Jansons – CEO & Co-Founder Kristjan has been studying and working on machine learning projects for more than 5 years. After acquiring a Master’s Degree in Computer Science & Machine Learning, he started working at Milrem Robotics as the Team Lead for Autonomous Vehicles, helping to build self-driving vehicles. Kristjan also has experience in building intelligent systems for data centers, robots and electric formulas; and with computer vision and image recognition. He is especially fascinated by how people from different industries combining their knowledge with data science arrive at new insights and help to accelerate innovation. LinkedIn

Kristjan Jansons – CEO & Co-Founder

Kristjan has been studying and working on machine learning projects for more than 5 years. After acquiring a Master’s Degree in Computer Science & Machine Learning, he started working at Milrem Robotics as the Team Lead for Autonomous Vehicles, helping to build self-driving vehicles. Kristjan also has experience in building intelligent systems for data centers, robots and electric formulas; and with computer vision and image recognition. He is especially fascinated by how people from different industries combining their knowledge with data science arrive at new insights and help to accelerate innovation.

LinkedIn

Robert Roosalu – Co-Founder, Data Scientist Robert's background in physics and software engineering, coupled with his love for analytical thinking led him to become a Data Scientist in the research lab for STACC (Software Technology and Applications Competence Center). There, his work focused on implementing machine learning methods to mine patterns from national medical records. Robert also holds a Master’s degree in Computer Science & Machine Learning and he’s exceptionally well-versed in classical machine learning methods. Robert enjoys tackling difficult problems and working in the field of AI due to the incredible pace at which the impossible becomes possible. LinkedIn

Robert Roosalu – Co-Founder, Data Scientist

Robert's background in physics and software engineering, coupled with his love for analytical thinking led him to become a Data Scientist in the research lab for STACC (Software Technology and Applications Competence Center). There, his work focused on implementing machine learning methods to mine patterns from national medical records. Robert also holds a Master’s degree in Computer Science & Machine Learning and he’s exceptionally well-versed in classical machine learning methods. Robert enjoys tackling difficult problems and working in the field of AI due to the incredible pace at which the impossible becomes possible.

LinkedIn

Markus Lippus – Co-Founder, Data Scientist Markus’s career started as a bioinformatician and he was soon drawn towards data science and developing machine learning projects. While acquiring his Master’s degree in Computer Science, he spent two years at STACC (Software Technology and Applications Competence Center) where he developed data analytics driven tools for personalized medicine applications. Markus also has experience with deep learning algorithms, natural language processing, and image recognition.  LinkedIn

Markus Lippus – Co-Founder, Data Scientist

Markus’s career started as a bioinformatician and he was soon drawn towards data science and developing machine learning projects. While acquiring his Master’s degree in Computer Science, he spent two years at STACC (Software Technology and Applications Competence Center) where he developed data analytics driven tools for personalized medicine applications. Markus also has experience with deep learning algorithms, natural language processing, and image recognition. 

LinkedIn

Sander Tars – Data Scientist Sander is balancing his time between two things: working as a Data Scientist at MindTitan and completing his MS in Computer Science. He has previously worked on bioinformatics and neural machine translation, making him highly skilled in natural language processing and developing neural networks. Sander is also a firm believer that data always contains more insights and value than one might guess on the first look. LinkedIn

Sander Tars – Data Scientist

Sander is balancing his time between two things: working as a Data Scientist at MindTitan and completing his MS in Computer Science. He has previously worked on bioinformatics and neural machine translation, making him highly skilled in natural language processing and developing neural networks. Sander is also a firm believer that data always contains more insights and value than one might guess on the first look.

LinkedIn

 

 

FAQ

 

1. How much experience does MindTitan’s team have?

All MindTitan’s team members have years of previous experience working on data analysis and machine learning projects. Our team’s strength lies in the widely varying background of our team members – we’ve built self-driving vehicles, analyzed medical records, built automated image recognition tools, and much more.

 

2. Can you give examples of your previous projects?

While we’re unable to disclose the exact nature of our past collaborations, we’ve worked with many well-known companies (e.g. Elisa and Cleveron). We also participated at a tech competition Garage48 where we reached the final round with our AI-powered facial recognition system. We went on to win the competition.

 

How would our collaboration look like?

Let’s start with a meeting to understand how your business could benefit from data science and artificial intelligence. Once you’re interested in developing a machine learning project, we can help you with throughout the start-to-end development process.

 

What timeframes are we talking about?

After the initial business analysis and making a roadmap for empowering your business with AI, we focus on iteratively delivering value after every few weeks or up to few months, depending on the complexity of the problem. You can expect constant collaboration and fast project delivery.

 

How do I know if AI can benefit my company?

It's all about the combination of data and the type of problem you wish to solve. As the problems are often non-standard, it is easiest to book a meeting with us and find out.

 

I would like to get a business consulation. What should I do?

Simply reach out to us and say “I would like to learn how AI can benefit my business.” We’ll take it from there.