Balaram T.

Founder at ZentroQ, Inc.

Balaram K. is a seasoned professional with extensive experience in data governance, analytics, and business transformation. Currently serving as the Founder of ZentroQ, Inc. since May 2023, Balaram K. has developed an AI-powered data-as-a-service platform for the heavy construction industry. In addition, Balaram K. is a Global Editorial Board Member at CDO Magazine and the Founder, President, and CEO of DataQubi since March 2019, focusing on AI-driven data solutions. Previous roles include Chief Data & Analytics Officer at Artera Services, adjunct professor positions at the University of Georgia - Terry College of Business, and various leadership positions at NCR Corporation and Red Hat. Balaram K. holds an Executive MBA from the University of Georgia and has a background in Electrical and Electronics Engineering from Andhra University College of Engineering, along with other educational credentials in innovation management and executive studies in Japan.

Location

Atlanta, United States

Links


Org chart

No direct reports

Teams

This person is not in any teams


Offices


ZentroQ, Inc.

ZentroQ delivers cutting-edge construction intelligence to amplify outcomes for firms leveraging HCSS software. Our analytics platform ingests HCSS data in near real-time to provide clear visibility into emerging project risks, performance drivers, and optimization opportunities. Core products include: Performance Dashboards: Pre-built, configurable dashboards track productivity, cost, schedules, materials and other KPIs to showcase what's driving outcomes and what needs attention across both individual projects and entire portfolios. Predictive Analytics: ZentroQ applies machine learning to historical projects, current workstreams, and macro trends to accurately forecast budget overruns, delays, workforce risks and more before they escalate. This allows managers to course correct preemptively. Continuous Resource Optimization: ZentroQ models resource interdependencies and utilization rates to guide dynamic re-allocation of crews, equipment, materials and more as project realities shift. This matches capacity to demand for smooth project workflows.


Employees

1-10

Links