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.
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 technical know-how to your project from day one.
If a company already has a data science team, we become a valuable asset, bringing profound expertise in certain subfields of AI, such as computer vision, natural language processing, and predictive analytics.
ML may not be the key expertise of your company. In this case, we work with your existing engineering team and provide the API of an ML system that fully corresponds to your needs and requirements. This way, your team can focus on their primary tasks rather than trying to learn an entirely new discipline.
This type of cooperation often starts with the development of a proof of concept for a business unit. Typically, stakeholders are non-technical people who have very “high-level” goals. We work closely with them to break down these goals into logical steps, define and prioritize use cases, and provide the best solution for each to achieve complex results.