Data Science & AI Solutions
InData Labs can help you
build AI-driven products
develop machine learning models
implement predictive analytics
We provide artificial intelligence consulting to help organizations implement this technology today.
We use machine learning 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.
Our team is experienced in:
- Machine learning
- Natural language processing
- Computer vision
- Predictive modeling
Providing artificial intelligence consulting and AI software development to startups and large enterprises 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. With InData Labs you’ll save time on hiring top-notch specialists. Our team of world-class data scientists and machine learning engineers will bring know-how to your project from day one.
How we solve problems:
Discovery
Reviewing your current capabilities and defining future goals to make recommendations for tools, technology, and architecture.
Proof of Concept
Test a small-scale system, proving the viability of the machine learning models for your problem.
Production
Inserting the machine learning system into production while considering costs of implementation and maintenance during deployment.
Improvement
Improvement of previously built models to continuously raise the quality of insights and to keep up with the changing environment.
We successfully cooperate with different teams within your company:
Data Science teams: In cases when a company already has a data science team we become a valuable asset bringing profound expertise in certain areas of artificial intelligence, such as computer vision, natural language processing, predictive analytics.
Data Engineering teams: machine learning may not be the key expertise of your company. In this case, we are working with an existing engineering team providing the API of a machine learning 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.
Business units: this type of cooperation often starts with developing a proof of concept for a business unit. Typically the stakeholders are non-technical people who have very “high level” goals. We work closely with them breaking down this goals into logical steps, defining and prioritizing use cases, and providing the best solution for each use case in order to achieve complex results.
Technologies
We use the best technologies available on the market, and we are constantly adding new ones.
Customer Success
Building Predictive Models to Improve Debt Collection Effectiveness
INDUSTRY: FINANCIAL SERVICES
Introducing Neural Networks into A Mobile App for Women Health
INDUSTRY: DIGITAL HEALTH
Helping a Leading Game Developer Automate Customer Feedback Analysis
INDUSTRY: ENTERTAINMENT
