Overview
DiscreteKernel Systems is a private IT Services and IT Consulting company based in New Delhi, India, incorporated on August 4, 2020. The company focuses on AI/ML products and solutions aimed at business transformation through enhanced data analytics and process automation. DiscreteKernel's product suite includes "Model Dragon," "Strategy Dragon," "Scorecard Dragon," "ML Dragon," "Decision Dragon," "Monitoring Dragon," and "Anomaly Dragon." These tools are designed to augment intelligence and automate routine tasks for data scientists and managers.
Leadership Team
- Subbu Venkataramanan: Founder and CEO, Subbu brings over 20 years of experience in Machine Learning and Credit Risk Management. He has previously served key roles at firms like GE Money and Discover Financial Services. He is an IIT Kharagpur and SP Jain Institute alumnus.
- Vijaya Kumar: Partner and COO with over 23 years of experience in retail credit risk. He has worked with United Overseas Bank (Singapore) and has led projects in organizations like Core Logic and HSBC.
- Mihir Saudagar: Partner and CTO, having acquired over 17 years of experience in analytics product development at companies such as Barclays and Amazon. He holds a Bachelor's degree in Computer Science & Engineering from IIT Kharagpur.
- Sharat Mangalpally: Partner, with 18 years of experience in data analytics, having contributed to fintech enterprises such as CRED and Ola Financial Services. An alumnus of the University of Delaware and IIT Madras.
Strategic Insights
DiscreteKernel Systems is dedicated to revolutionizing IT services in the finance sector by implementing AI-driven solutions for credit risk assessment, fraud detection, and market prediction analytics. Their emphasis on innovative integration showcases a partnership-oriented approach, as evidenced by their collaboration with DigiDhana's Loan origination system.
Contact Information
DiscreteKernel Systems is headquartered in New Delhi, India. They welcome business inquiries via their website [www.discretekernel.com](https://www.discretekernel.com) or over email at contactus@discretekernel.com. For direct communication, their helpline is available at +91 88849 81581.
Address: DiscreteKernel Systems, New Delhi, India
Contact Email: contactus@discretekernel.com
Contact Number: +91 88849 81581
Competitor Analysis
Key Competitors
DiscreteKernel Systems positions itself in a competitive landscape dominated by prominent data-centric companies such as Databricks, Sisense, and Dataiku.
Competitor Profiles
Databricks
- Overview: Established in 2013, known for data and AI innovations, including the "lakehouse" architecture which unifies data warehouses with data lakes.
- Client Base & Alliances: Over 9,000 worldwide clients including ABN AMRO, and alliances with players like Microsoft.
- Headquarters: San Francisco, USA.
- Strategic Focus: Simplification of data analytics through the democratization of data and AI.
Sisense
- Overview: Founded in 2004, Sisense provides business intelligence software emphasizing integrated analytics.
- Reach and Offices: Headquarters in New York City, branches in major cities globally.
- Technological Feature: Sisense Fusion platform leveraging AI for data analytics with robust visualization tools.
- Growth: Expanded capabilities through the acquisition of Periscope Data in 2019.
Dataiku
- Overview: Established in 2013, Dataiku excels in democratizing data with a platform fostering organizational collaboration.
- Clientele: Functions across various industries with 600+ global customers, including corporations from the Forbes Global 2000.
- Innovation Edge: Focus on integrating data to streamline business operations industry-wide.
Analytical Insights
With established rivals in AI and data analytics, DiscreteKernel Systems needs to spotlight strategic partnerships and unique offers. Staying abreast of technological advances in machine learning and AI will enhance their competitive standing and innovation pipeline. Insights into competitors' offerings and growth trajectories will inform DiscreteKernel's strategic direction, making their niche offerings more compelling in the AI/ML market spectrum.
