Radix Analytics Pvt Ltd

We enhance businesses through the power of Data Analytics. Experts in developing AI/ML, - Statistical & Optimization models, algorithm & software. Working with clients in various domains in 4 continents From stone tools to AI/ML technology has been disrupting and advancing the way one evolves be it humans or organisations. Data and analytics are competitive weapons for each organisation to monitor and optimise every aspect of their operations. We help organisations make data-driven decisions to maximise revenue and improve efficiencies.Our Solutions :

• AI/ML & Statistics based predictive models as APIs
• Mathematical optimization models as APIs
• Software consuming these APIs to deliver “Intelligent Systems”
• Data warehouses & Dashboards to support decisions
• A practice of over 10 years with a strong team
• Led by PhDs in respective domains
• Data scientists, data engineers & software developers
• Have delivered solutions in multiple sectors
• BFSI
• Media
• Logistic and Retail

Energy, Telecome, Healthcare, Aviation etc.

Also provide trainig & consulting service

Our strengths encompass AI/ML and statistics-driven predictive models offered as APIs, along with mathematical Optimisation models as APIs. These serve as building blocks for software that crafts “Intelligent Systems.” Our track record spans diverse sectors like BFSI, supply chain, pricing, government, and e-learning, showcasing our versatile solutions.

Why Choose Radix Analytics?

Tailored Solution: We understand that every business is unique. Our solutions are customized to align with your industry, goals, and challenges.

Cutting-edge Technology: Stay at the forefront of analytics with our expertise in the latest tools and technologies.

Interdisciplinary Excellence: Our team combines diverse expertise to provide holistic analytics solutions that incorporate domain knowledge and technical proficiency.

Actionable Insights: We don't just provide data – we translate it into tangible insights that drive real business outcomes.