cierto.tech

What It Is

Cierto Tech provides AI consulting and development services for small and mid-sized businesses, centered around its “30 Day AI Test.” The process starts with a 45-minute discovery call to qualify use cases, followed by building a working AI tool demo in about 10–14 days, then letting the business test it in real operations for two weeks. It is not a self-service AI software product, but a project-based service for delivering AI prototypes and production-ready implementations.

Core Capabilities and Use Cases

Based on the site content, its focus is not general chat, content generation, or model platforms, but rather “practical, business-facing AI.” Typical use cases include business automation, internal tools, workflow improvements, reducing manual friction, and saving time. It clearly emphasizes execution and testable outcomes rather than slide-deck planning or research-style experiments. However, the website does not disclose which foundation models it uses, whether it supports RAG/Agents, how system integrations work, what the deployment architecture looks like, or what API capabilities are available. Its technical depth and scalability therefore need to be confirmed during the discovery call.

Pricing and Trial

Its biggest appeal is the low barrier to validation: there is no upfront fee, no contract, and no obligation to continue during the discovery call and prototype stage. If the company approves the demo and wants to move it into production, Cierto Tech typically offers a fixed-scope build priced at $500–$5000, plus a monthly service agreement. Compared with traditional agencies that charge planning fees upfront, this “see a working prototype first, then decide” model is relatively friendly to budget-conscious SMBs.

Pros and Cons

The advantages are a clear process, relatively low risk, short delivery timeline, and a focus on real business value. For companies that do not know where to start with AI adoption, the discovery call can also help filter and define suitable use cases. The drawbacks are limited public information: there are no case studies, model details, data privacy policy specifics, service SLA, Chinese-language support information, or payment method details. The free prototype is also subject to qualification and limited availability, so it is not an open free tool.

Who It’s For and Access from China

It is best suited for SMB owners with clear workflow pain points who want to quickly test AI automation, especially teams that care more about implementation than strategic consulting. Access from mainland China, payment options, Chinese-language communication, and cross-border data compliance are not explained in the site content, so china_access can only be considered unknown. For deployment in China, it may be worth comparing domestic AI automation providers, WeCom/Feishu ecosystem agents, or alternatives such as Zapier AI, Make, and Microsoft Copilot Studio.