AI Infrastructure Architecture
Design model, application, data, compute, networking, and deployment layers as one production system.
PRODUCTION AI INFRASTRUCTURE
AI Systems Engineering
OPTIME designs, deploys, evaluates, and optimizes production AI systems for organizations where performance, cost, privacy, reliability, or infrastructure constraints matter.
Discuss your AI infrastructureBEYOND THE PROTOTYPE
Production AI is a cross-layer systems problem.
A model, API, or basic RAG layer is only part of the system. Dependable delivery requires architecture, data, applications, media processing, infrastructure, evaluation, security, performance engineering, and operational ownership to be designed together.
Production AI requires disciplines beyond ordinary application integration.
CAPABILITIES
Engineering the complete production system
Private and Regulated AI
Build controlled AI environments for sensitive data, private networks, on-premises infrastructure, or hybrid deployment.
Performance and Cost Optimization
Optimize model selection, token use, memory, latency, throughput, GPU utilization, and infrastructure cost.
LLMs, Agents, and RAG
Engineer and evaluate language-model applications, retrieval systems, and bounded agents beyond a basic proof of concept.
Speech, Audio, Vision, and Multimodal AI
Integrate speech recognition, transcription, translation, computer vision, video, audio, and operational data into production workflows.
Production Readiness and Evaluation
Evaluate quality, reliability, security boundaries, failure modes, performance, and operational behavior before scale-up.
DEPLOYMENT AND SYSTEMS PRACTICES
AI for real-world operating environments
Real-Time Multimodal AI
Combine live and recorded video, audio, speech, computer vision, real-time communications, and operational information in production workflows.
Edge and Physical AI
Deploy low-latency, resource-aware systems across cameras, devices, vehicles, embedded Linux platforms, and intermittently connected environments.
Private and Regulated AI
Design controlled private, on-premises, and hybrid AI environments where security, data boundaries, evaluation, and operational ownership matter.
From every byte to every token.
Since 2017, OPTIME has engineered streaming, communications, embedded, networking, and high-performance systems where every byte, millisecond, and hardware constraint mattered. We apply that discipline to model selection, tokens, memory, accelerators, latency, throughput, evaluation, and infrastructure cost.