Cloud AI API
Start quickly, with usage-based billing.
Enterprise AI architecture and integration
Multiple AI Deployment Options
iGears plans architecture, deployment, integration, monitoring and cost control so AI can support real organisational workflows.
iGears selects enterprise AI technology according to data sensitivity, usage, cost, performance and maintenance requirements.
- Cloud AI API
- Multi-model AI Routing
- Hong Kong Hosted Private AI
- On-premise AI
- Hybrid AI Architecture
At a glance
What does this service include?
iGears selects enterprise AI technology according to data sensitivity, usage, cost, performance and maintenance requirements.
- Typical scope
- Cloud AI API · Multi-model AI Routing · Hong Kong Hosted Private AI
- Delivery approach
- We clarify goals, current workflows, data, permissions and integrations before phased design, validation, rollout and handover. Final scope is confirmed during discovery.
Architecture and deployment
Multiple AI Deployment Options
iGears selects enterprise AI technology according to data sensitivity, usage, cost, performance and maintenance requirements.
Multi-model AI Routing
Choose suitable models according to the task, quality requirements and cost.
Hong Kong Hosted Private AI
Applications, data and AI infrastructure can be deployed in Hong Kong according to requirements.
On-premise AI
Deploy AI models and applications on the organisation’s own servers and network.
Hybrid AI Architecture
Assign data and tasks to different AI processing routes according to their sensitivity.
The actual models, service providers, technical specifications and costs will be confirmed in the AI Implementation Blueprint and formal quotation.
AI Implementation Blueprint
Define the architecture and operating responsibilities
The actual models, service providers, technical specifications and costs will be confirmed in the AI Implementation Blueprint and formal quotation.
Architecture and data routes
Document processing locations, storage, permissions, external services and human review.
Deployment and integration
Confirm interfaces, environments, testing, acceptance criteria and handover.
Monitoring and maintenance
Assign responsibility for alerts, updates, backups, support and incident handling.
Quality and cost control
Set usage limits, quality measures, routing rules and a review schedule.
FAQ
AI deployment questions
iGears selects enterprise AI technology according to data sensitivity, usage, cost, performance and maintenance requirements. The actual models, service providers, technical specifications and costs will be confirmed in the AI Implementation Blueprint and formal quotation.
That depends on the full architecture. The Blueprint identifies where applications, data, model processing, logs and any external APIs operate.
Yes. Hybrid architecture and routing can assign workloads according to sensitivity, quality, performance and cost requirements.
The actual models, service providers, technical specifications and costs will be confirmed in the AI Implementation Blueprint and formal quotation.
Book an AI consultation
Confirm usable AI routes, implementation scope and ongoing care around your tools, data requirements and target work.