Data Science & AI Solutions
InData Labs Can Help You Build AI-Driven Products
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 within the customer’s business environment.
World-Class Data Scientists and Machine Learning Engineers
We cooperate with businesses of different sizes, from startups to large enterprises. From our experience, we know that regardless of the size of a company, business owners face similar 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.
With InData Labs, you’ll save time on looking for top-notch specialists. Our team of world-class data scientists, AI consultants, and ML engineers will bring technical know-how to your project from day one.
How We Solve Problems
- DiscoveryReviewing your current capabilities and defining future goals to make recommendations for tools, technology, and architecture.
- ImprovementImprovement of previously built models to continuously raise the quality of insights and to keep up with the changing environment.
- Proof of ConceptTest a small-scale system, proving the viability of ML models for your problem.
- ProductionInsert the ML system into production while considering costs of implementation and maintenance during deployment.
We Successfully Cooperate with Different Teams In Your Company
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, or predictive analytics.
ML may not be the key expertise of your company. In this case, we are working with your existing engineering team. We provide the API of an ML system that fully corresponds to your needs and requirements. This way, we allow your team to focus on their primary tasks rather than try to learn an entirely new discipline.
This type of cooperation often starts with developing 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 breaking down these goals into logical steps, defining and prioritizing use cases, and providing the best solution for each to achieve complex results.
What We Offer
Data Science & Analytics
Data Strategy
Business Intelligence
AI Software Development
Artificial Intelligence Consulting
Data Engineering & Architecture
Why Work with InData Labs
Flexible Cooperation ModelsWe offer flexible terms of cooperation that are the best fit for your business needs.
Innovative ApproachThe use of the latest tools and technologies with innovative approaches.
Extensive ExperienceExtensive experience and deep domain know-how in ML and AI solutions development.
Technologies
