Custom applications that integrate LLM capabilities into business operations. API-based solutions, on-premises deployments, and hybrid approaches designed for production use. We build systems that are maintainable, documented, and aligned with actual business requirements.
Complete control over your data and models. We design and deploy on-premises LLM infrastructure including hardware specification, model selection, inference optimization, and system integration. No per-token costs, no API dependencies, no vendor lock-in.
Application development, system integration, and infrastructure planning since 2012. We connect LLM capabilities to existing databases, applications, and workflows. Our background in enterprise IT informs how we approach modern AI implementation.
Engineering-first solutions with attention to security, safety, and compliance.
Ziegler Technical Solutions provides consulting and development services focused on Large Language Model applications and AI integration. Our work builds on a foundation established in 2012, with extensive experience in system integration, custom software development, and infrastructure deployment.
Since 2012, we’ve worked with professionals and small to medium-sized organizations on technology adoption, application development, system integration, and infrastructure deployment. This work draws on decades of experience across enterprise software development, IT infrastructure, cybersecurity, and fraud prevention — with a consistent focus on data analysis, pattern recognition, and intelligent automation.
Our background includes building behavioral pattern analysis and fraud prevention systems, large-scale social computing platforms involving natural language processing and content classification, real-time data acquisition and processing systems for high-performance computing, and technical communication systems for complex industrial environments.
This combination of technical implementation and system design experience directly informs our approach to LLM work today.
We work with organizations to evaluate where LLM technology genuinely improves operations versus where it introduces unnecessary complexity or overhead. Our focus is on sustainable implementations that integrate with existing systems, can be maintained long-term, and remain under organizational control.
We understand production constraints, integration challenges, and the difference between technologies that solve problems versus technologies that create new dependencies. Our experience with both modern AI technology and traditional infrastructure helps clients navigate implementation decisions with realistic assessment rather than marketing hype.
We work primarily with small and medium-sized organizations that need practical solutions without unnecessary complexity. Our clients typically value honest assessment, sustainable implementations that they can control and maintain, and clear explanations of both capabilities and limitations.