Platform Environment (SaaS/Private Cloud/On-Premises)

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 initial costs. For customers who need to handle sensitive data, they can choose to deploy on a dedicated private cloud, which provides high privacy and a customizable environment. If higher security requirements exist, customers can opt for on-premises deployment; although deployment complexity and costs are higher, it can provide the highest level of 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, Llama3, etc.	All Models GPT series, Claude, Gemini, Llama3, etc.	Open Source Models Llama3, Gemma, Mistral, etc. Can also connect to GPT series, Claude, Gemini via internet
Reply Performance	Optimal	Optimal	Good (optimal, depends on the model used)
Deployment Complexity	Standard	Medium	High
Initial Cost	Low	Medium	High
Usage Cost	Pay-as-you-go	Pay-as-you-go	Fixed
Time to Go Live	Fast	Standard	High
Scalability	Highest	High	Low
Maintenance Difficulty	Standard	High	Highest
Privacy	Standard	High	Highest
Applicable Scenarios	General	Sensitive Data, Specific Industries	Highly Confidential, Regulatory Restrictions
Pricing Method	Fixed Price	Fixed Price	Project-Based Pricing