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Statistical Consulting Scientific Programming Scientific Application Development and Integration Data Analysis Hardware and Hosting
DesignRush Marketplace
We build data lakes, lakehouses and data warehouses, implement cutting-edge analytics and develop Big Data applications
When proper methodologies for analyzing data are identified, software implementations are needed to perform the actual analysis. Often, implementations are readily available, but when methodologies need tuning it may require expert programming expertise to apply the relevant modifications. Open Analytics has a skilled team of software engineers that combine strong methodological skills with solid algorithmic know-how to bring scientific programming problems to a good end. In some circumstances, research papers describe methodologies that are not readily available and Open Analytics has appropriate depth of skills and experience to implement such methods straight from the research paper. Another common scenario where Open Analytics is called in for help is to work on code that does not run efficiently enough for customer purposes. In that case Open Analytics will review and optimize the code or parallelize parts of the code to speed up execution.
When implementation using high-level languages is an option, Open Analytics will develop solutions using R, Python or the Julia language. On certain projects, however, code will be developed in low-level languages (C, C++, Fortran) or languages that are appropriate for the use case (Scala, Java).We do AI Consulting and Custom AI Solutions Development
We use machine learning (ML) tools and algorithms to help companies develop AI-driven products and solutions. Our team has profound knowledge and experience in designing, implementing, and integrating artificial intelligence solutions into the customer’s business environment
World-Class Data Scientists and Machine Learning Consultants
We cooperate with businesses of all sizes, from startups to large enterprises. Our experience tells us that, regardless of the size of a company, business owners face similar challenges when 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. With InData Labs, you’ll save time on looking for top-notch specialists. Our team of world-class data scientists, AI consultants, advisors, and ML engineers will bring consultancy, technical know-how to your project from day one.