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Jeremy Krocak

Jeremy Krocak

Chief Executive Officer

A proven technology leader who combines aerospace precision with cutting-edge AI innovation. Successfully scaled and exited JobConex AI Platform in 2024, delivering enterprise-grade business intelligence solutions. Now leading axam.ai and building workforce intelligence that helps companies hire better and reduce cost.

1Owner exit
3Assisted exits
4thMN Cup finalist
25+Years exp
750+Projects

Career progression & innovation

From learning technology fundamentals to achieving successful exits—each step has built toward transformative business solutions.

Revolutionizing job management with AI

Led the complete development, design, and architecture of JobConex from concept to successful exit, creating the industry’s most intelligent distributed job management platform. This first owner exit was achieved through seamless integration of TensorFlow-powered machine learning with advanced geolocation algorithms.

The system’s predictive analytics enabled healthcare providers to anticipate staffing needs and market trends, while the matching algorithm optimized job placement efficiency. This innovation earned 4th place as a 2023 MN Cup finalist, competing against 1,000+ entries in the High Tech Division.

Accelerating business transformation

Founded Exchange Data Applications to address the gap between business needs and technology delivery. Over 11 years, the company completed 750+ projects that transformed operations across diverse industries and helped 3 companies scale out their tech stack, leading to successful exits.

Innovative rapid development—combining modular architecture with automated testing—enabled clients to achieve digital transformation without traditional delays and cost overruns, averaging one fully deployed solution per week while maintaining enterprise-grade reliability.

Pioneering energy data intelligence

Developed the Energy Rate Report platform to solve the lack of centralized, real-time energy rate data across the United States. The system processes thousands of documents daily, extracting and analyzing electrical and gas rates to provide actionable market intelligence.

Machine learning models identify trends and patterns that enable energy companies to make data-driven decisions, transforming how energy markets are analyzed and providing the insights needed to navigate volatile markets.

Bridging engineering & technology

Early career experience in aerospace and automotive design provided the foundation for a unique approach to software development—applying precision engineering principles to software automation challenges.

Technical drawing and mechanical design led to automation software that reduced design time by hours or days. Managing systems within replicated SQL environments across global sites established the foundation for building scalable, distributed applications central to enterprise AI platforms.

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