Maiya AI

Maiya AI

A one-stop AI collaborative development platform for product and R&D teams, officially covering four stages: requirement prototyping, professional documentation, code development, and testing and delivery. It offers AI prototyping, AI documentation writing, AI code writing, and AI automated testing.

AI Developer Tools#Product-Dev Collaboration#AI Coding#Private Deployment

Updated: 2026-10-26

What is Maiya AI?

MaltAI (MyAIFast) is an all-in-one AI collaborative development platform for product and R&D teams, operated by Malt Innovation (Hunan) Technology Co., Ltd. The company name and Changsha office address are listed in the footer of its official website. The official tagline for the platform is "AI collaboration for product and engineering", advocating that "from requirements, prototypes, and documents to code and testing, MaltAI helps teams quickly turn ideas into discussable, developable, and deliverable projects". Its difference from single-point AI coding tools lies in its division of labor based on the product and R&D process, rather than just focusing on chat generation.

Who is it for?

  • Small and medium-sized product and R&D teams with frequently changing requirements: First create prototypes to make requirements "visible and discussable".
  • Teams that need to systematically consolidate project documents: Place prototypes, documents, interfaces, and test cases under the same project to reduce version inconsistencies.
  • Enterprises with data boundary requirements: The official provides a fully localized private deployment solution, where data can be independently operated and stored in the enterprise's own environment.
  • Teams engaged in informatization construction in highly regulated industries such as government affairs, healthcare, manufacturing, and finance: The official website features separate solutions for these four sectors.

Key features

6
1

AI Prototyping

The official description states that by describing business scenarios in natural language, it quickly generates page prototypes that can be previewed and modified, supporting conversational global modifications and refined polishing of single pages.

2

AI Document Writing

Automatically organize project documents such as PRDs, interface specifications, and test instructions based on prototypes and requirement descriptions. The official slogan is "Prototype is Document", and the content and format can be further manually refined.

3

AI Code Generation

Generates front-end and back-end code based on project materials, page structures and technical constraints. The official lists three granularities: function-level, page-level and project-level, and supports multi-language code generation as well as code review.

4

AI Automated Testing

Generates test cases based on requirements and functional processes and executes them automatically. Failed cases are automatically converted into defects and associated with the corresponding code. Visual test reports are generated by environment.

5

Two Entry Points

The official platform is divided into "AI Project Creation" and "AI Code Writing". The former transforms vague ideas into runnable projects, while the latter directly generates functions, pages or complete project code.

6

Toolbox & Security Capabilities

AI assistants, skills, and plugins form an extensible toolbox. The official states that plugins can connect to internal systems and external tools via the MCP protocol; on the security side, it provides private deployment, permission management, data encryption, and behavior auditing.

How to use Maiya AI

  • The official website's main entry is a public product introduction page.
  • actual usage requires logging in via the enterprise portal or desktop client.
  • The official states that users log in with their registered mobile phone number, and new users will be automatically registered.
  • Follow the sequence of "prototypes, documentation, code, testing": The official designs this workflow for resource reuse.
  • Skipping prototypes to write code directly will lead to higher rework costs later on.
  • The desktop client supports Windows and macOS, and the official onboarding process consists of three steps: download, install, and log in.
  • Regarding private deployment, the official FAQ states that custom hardware, local deployment of large models, no public network access, and full-link data encryption are available, and it claims to support 30-minute deployment and launch and Level 3 Level Protection Certification.
  • it is recommended to re-verify such commitments based on the actual plan and contract.
  • The platform is integrated with models such as DeepSeek, KIMI, Zhipu GLM, Tongyi Qianwen, and MiniMax.
  • The specific available models and call quotas are subject to account permissions.
  • The official FAQ clearly states that "the specific scope of use case generation is subject to the actual demonstration and the confirmed function list by both parties" and "the specific effect is subject to the actual demonstration".
  • It is recommended to request a demonstration of a real project before selection.

Traffic & popularity

Data month Sep 2026

Maiya AI receives about 257.4K visits per month.

Monthly visits
257.4K
▲ 1.4% vs last month
▼ 3.3% vs 3 mo. ago
Bounce rate
56.7%
leave after one page
Avg. duration
1:42
per visit
Pages / visit
2.53
per visit

Monthly visits

8 months
300.0K225.0K150.0K75.0K0
Feb 2026Jun 2026Sep 2026

Estimated from third-party traffic data.

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