Deploying and maintaining LLM-based systems requires careful coordination of infrastructure, model behavior, and ongoing support. ZTS helps organizations implement and manage AI applications in ways that prioritize reliability, portability, and maintainability — whether deployed on-site, in a private environment, or across distributed systems.
We work with teams to create self-contained, manageable solutions that reduce operational complexity and adapt to organizational requirements. These deployments are designed to be portable, supporting flexible integration and minimizing dependencies on third-party platforms or proprietary stacks.
Managed AI & Application Deployments
ZTS supports production-ready LLM deployments with a focus on control, clarity, and sustainability:
- Reliability: Systems are configured and tested for predictable performance in real-world use, including fallback and monitoring strategies.
- Portability: Solutions are containerized or modular to support varied environments, whether for internal use, secure edge deployments, or hybrid configurations.
- Maintainability: We emphasize documentation, observability, and lifecycle planning to reduce friction and ensure long-term usability.