Deployment environment planning (SaaS/private cloud/on-premise)

MaiAgent offers multiple deployment environments to meet different customer needs. Using the public cloud SaaS model, customers can go live quickly and enjoy maximum scalability with lower upfront costs. For customers who need to handle sensitive data, they can choose deployment on a dedicated private cloud, providing high privacy and a customizable environment. If higher security is required, customers can opt for on-premises deployment; although deployment complexity and costs are higher, it provides the highest privacy and solutions that comply with regulatory constraints.

	Public Cloud (SaaS)	Private Cloud	On-Premises
Platform Deployment Location	MaiAgent Cloud	Customer Cloud (AWS, Azure, GCP, Oracle)	Customer Data Center
Large Language Models	All Models GPT series, Claude, Gemini, Llama 3, etc.	All Models GPT series, Claude, Gemini, Llama 3, etc.	Open Source Models Llama 3, Gemma, Mistral, etc. Can also connect to GPT series, Claude, Gemini online
Reply Quality	Best	Best	Good (best, depends on model used)
Deployment Complexity	Standard	Medium	High
Initial Cost	Low	Medium	High
Operating Cost	Usage-based	Usage-based	Fixed
Time to Launch	Fast	Standard	High
Scalability	Highest	High	Low
Maintenance Difficulty	Standard	High	Highest
Privacy	Standard	High	Highest
Applicable Scenarios	General	Sensitive Data, Specific Industries	Highly Classified, Regulatory Restrictions
Pricing Method	Fixed Price	Fixed Price	Project-based Quotation