build data-driven apps
implement artificial intelligence
adopt advanced analytics
We use Natural Language Processing (NLP), Machine Learning, and Predictive Modeling to help companies develop AI-driven products and solutions that act human like. Our team has profound knowledge and experience in designing, implementing and integrating Artificial Intelligence solutions within the customer’s business environment.
Providing data science services to startups and enterprise clients we noticed that although the company structures may be totally different, both startups and enterprise clients face the same challenges planning new data initiatives. Our clients either don’t have their own data science teams, or their team is too small to cope with all the tasks in the environment of a fast-growing company. Our data science services help companies save time on hiring top notch specialists. We provide a team of world-class data scientists that bring know-how to your project from day one.
Reviewing current capabilities to make recommendations for tools, teams, and processes.
Experimenting with data sets to prove the viability of mathematical models for customer’s business case.
Inserting mathematical models into production while considering costs of implementation and maintenance during deployment.
Modernization of previously built models to continuously raise the quality of insights.
Starting with a clearly defined business case, data scientists review available data and current capabilities of a client to make recommendations for tools and data management processes that are necessary for future success. They then collect all the useful data and generate a mathematical model. Before moving forward data scientists prove the viability of the model for customer’s business case.
Solution fit to the customer’s business case is of high priority for us. There is no single technology, tool or algorithm that would be applicable to different use cases. For us, every single problem has a very particular answer. Our data scientists work within customer’s team to optimize workflow and ensure the best outcomes.
From the case study, you will learn how big data analytics revolutionizes healthcare domain and why one of the top-rated mobile apps for female health “Flo” turned to InData Labs for advanced analytics adoption.