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Capabilities

Intelligence that can operate.

Zyloq builds the infrastructure beneath AI that must be private, responsive and dependable — then connects that intelligence to real work.

01 / Foundation

Production AI infrastructure

GPU serving, hybrid and private environments, model operations, retrieval systems and observability designed as one production foundation.

  • GPU cluster and inference architecture
  • Private cloud and on-premises deployment
  • MLOps, rollout and production observability

02 / Runtime

LLM inference and optimization

Language and speech models engineered around the latency, throughput, privacy and cost constraints of the operation they serve.

  • Model serving, batching and quantization
  • RAG, evaluation and safety boundaries
  • Performance, capacity and cost optimization

03 / Intelligence

Systems that hear, reason and act

Context, tools, memory and action brought together as an intelligence layer for education, hospitality and other real-world operations.

  • Voice and conversational intelligence
  • Agentic workflows and tool use
  • Domain memory and human oversight

Operational questions

Before intelligence enters production.

What does Zyloq AI build?

Zyloq AI builds production AI infrastructure, private language-model inference and intelligent systems that can understand context, use tools, take action and retain memory.

Can Zyloq AI deploy models in a private environment?

Yes. Architectures can be designed for private cloud, virtual private cloud or on-premises environments according to the customer's operational and security requirements.

Which real-world environments is Zyloq AI focused on?

Zyloq AI is developing intelligence for education and hospitality while building the infrastructure and inference systems beneath those experiences.

Have a system that needs to move from experiment to operation?

Build with Zyloq