What is SERVICEME's pricing model?

SERVICEME offers three tiers: Basic, Standard, and Enterprise, each precisely tailored to functionality and customization needs. Customers can flexibly choose the right tier based on their business growth and actual requirements for annual subscription.

Update Date : 2024/08/13 17:37

Does SERVICEME support product customization based on specific business needs?

Yes, SERVICEME offers flexible customization options, deeply understanding business requirements to provide professional advice and solutions, enabling fast deployment of tailored products that perfectly align with clients' needs.

Update Date : 2024/08/13 17:37

Does SERVICEME offer cloud services or private deployment?

SERVICEME supports both cloud and private deployment, tailored to unique business needs, offering customized digital solutions. We aim to bridge the digital divide with efficient, secure deployments, ensuring AI services seamlessly integrate with corporate IT architecture and compliance requirements.

Update Date : 2024/08/13 17:37

Is there systematic, dedicated training and operational support provided?

We prioritize user proficiency and experience, providing thorough system training for new users to ensure swift adoption and efficient platform utilization. We maintain close contact with clients, organizing specialized training and support for new features to empower them to leverage their full business value promptly.

Update Date : 2024/08/13 17:37

How does SERVICEME ensure enterprise data security and privacy protection?

We understand the importance of data security and privacy to businesses. SERVICEME rigorously guards against data security threats, deploying only in customer-specified cloud or local environments to ensure data flow and storage remain within their secure, controllable boundaries.

Update Date : 2024/08/13 17:37

Standard Excel vectorization failed?

Check if there is a column with too much text in the field. The Embedding model only supports 4K. Excel vectorizes the entire row together. If a row has more than 2,000 words, the vectorization will fail.

Update Date : 2023/09/01 17:37

Can't vectorize a large file?

Vectorization takes up a lot of server memory and CPU. Vectorization may fail because of insufficient memory and CPU. If you need it, please contact us and we will help you push the vectorization up locally. We will consider other methods later.

Update Date : 2023/09/01 17:37

When I ask a question in English, the answer appears in another language (such as French or Spanish)?

Are some words converted from French or Spanish into English, causing Open AI to misunderstand them? If you know the customer's common language, you can configure and adjust the common language in Prompt.

Update Date : 2023/09/01 17:37