Yes, we can do it!


Business is complex. But in complexity, there is an opportunity for innovative solutions. With our comprehensive, open-architecture solutions for data analytics & AI, we provide high-value research, analytics and business intelligence across our clients, and consulting companies across our global delivery network.

We at Dhruv have deep expertise in designing, running and managing data with the most modern reliable and efficient tools in the market. We help organisations grow and stand out from the competition. We are not only leaders in providing data analytics and AI services to empower organisations but also provide trained data analyst and AI professionals to meet your increasing data needs. Hence, we are aware of the industry requirements and specifications and will create unique analytics solutions to suit your specific business needs.

Our Vision

To leverage Data Analytical and AI solutions to solve the problems of businesses and to help them achieve exponential growth. Our goal is to create better business opportunities for you and hence we work along with your team to streamline your data so that we can provide the right insights for your business.

We EMPOWER our clients to drive higher revenues using Analytics and automation technology solutions, helping our clients to TRANSFORM their operating model and cost base.

We provide end-to-end pipeline of Data > Modelling > Decisioning > Deployment helping our clients by providing measurable business value and Changing Tomorrow, Together with Data

Our Mission

With Dhruv, we envision a better world created by world-class businesses empowered by analytical and AI solutions. We help you leverage technology to automate your processes, predict possible overheads and drive your organisational growth to the next ladder.

Our Approach

Most Business problems can be divided into three sequential phases – problem definition & data discovery, model estimation & validation, insights & business application. We have broad frameworks to systematically approach a wide variety of data science problems to ensure business value.

Phase 1
  • Problem Definition
  • Data Preparation
  • Data Discovery
Phase 2
  • Feature Engineering
  • Model Development
  • Model Validation
Phase 3
  • Insights & Inferences
  • KPI Dashboards
  • Production & Monitoring