Sriniketh Chakravarthi, CEO of Apexon, is a globally recognized business leader renowned for guiding organizations through complex digital and technology transformations. With extensive experience scaling businesses across the USA, Europe, and Asia, he combines a client-focused, consultative approach with strategic, technological, and people leadership to drive innovation, operational excellence, and sustained enterprise growth.
Sriniketh’s leadership journey is grounded in a strong academic foundation that combines engineering precision with managerial insight. He completed his Bachelor’s degree in Engineering from the National Institute of Technology, Jamshedpur, and later earned an MBA from the Indian Institute of Management, Calcutta. This blend of technical depth and strategic thinking shaped his global outlook and prepared him for leadership across industries and geographies.
Sriniketh has built an impressive career across leading global technology and consulting firms. Before becoming CEO of Apexon in 2022, he held senior leadership roles at Cognizant and Tech Mahindra, where he led large Banking and Financial Services businesses in North America and Europe. His experience spans corporate development, client partnerships, and guiding enterprises through multiple waves of digital transformation.
Apexon delivers complete AI solutions which begin with strategy work and continue through the development and deployment processes of generative AI and agentic AI and advanced analytics and intelligent automation and AI-based quality engineering solutions which help organizations achieve better operational results through AI implementation.
Optimize Customer & Operational Experiences: AI-powered solutions to create customized customer experiences while the technology automates their business operations and improves their supply chain efficiency and identifies system faults and simplifies the process of making business choices which leads to cost savings and risk reduction and operational success for the organization.
AI Product Engineering: AI-based products through its own AI systems which include AgentRise, Genysys, XtractIQ, VizSense, EdgeDetect, TalkAtIve and Apexon Banking360 Suite to handle automatic workflows and enhance their software testing process and support their ability to process intelligent documents and execute AI-based processes for different business sectors.
AI Enterprise Productivity: Combining generative AI and large language models and autonomous AI agents enables organizations to achieve higher productivity through the automatic handling of basic tasks and the generation of business insights and the development of operational systems for their finance and healthcare and life sciences and manufacturing sectors.
AI Data Analytics Services: Advanced AI/ML analytics develop usable business intelligence from complicated data through NLP and computer vision and statistical forecasting and anomaly detection which enables businesses to make decisions based on data analytics with high confidence.
Industry-Specific AI Platforms: ApexonEMS, ApexonED, ApexonClaims and PayAssure to create automated systems which handle revenue cycle management and claims processing and medical coding and fraud detection through their AI-powered automated operations.
Sriniketh has achieved success throughout his entire professional journey by delivering business growth and increased profitability and major organizational changes. He has led operations for extensive financial assets while developing international customer relationships and creating productive workgroups.
Apexon has established him as a leader who develops digital engineering solutions and Agentic AI projects which drive the company toward becoming an intelligent enterprise. His leadership maintains a constant equilibrium between new ideas and operational success and the creation of value for all stakeholders involved.
Sriniketh Chakravarthi maintains an uncontroversial personal life. His leadership at Apexon enables him to develop digital technology solutions which use AI/ML and cloud and data-driven innovation to create significant business results.