SuperAPI AI Directory

Domery

Tencent's full-chain data AI assistant

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About this tool

What is Domery

Domery is a full-chain data AI assistant launched by Tencent, focused on understanding users' own data assets, including event tracking collection, multi-source reports, and uploaded documents. Simply ask questions in natural language, and Domery can automatically complete organization, analysis, and refinement, turning conclusions directly into charts, dashboards, and even presentation PPTs. Domery is like a resident data analyst, helping users turn boring and repetitive document and report work into answers deliverable in one sentence.

Domery

Domery's main features

  • One-click event tracking collection: Covers iOS, Android, H5, Mini Programs, and server-side, with SDK tracking code instantly generated and launched.
  • Multi-source unified analysis: Databases, data warehouses, spreadsheets, and other multi-source access. AI automatically aligns fields and definitions, so even the messiest data can be clarified in one question.
  • Knowledge Garden (knowledge base): After documents and materials are uploaded, they can be reused for Q&A multiple times. During conversations, three types of sources can be referenced: the knowledge base, historical sessions, and local files.
  • Conversational data analysis: Ask questions in natural language and automatically complete summarization, refinement, and analysis, with no need to copy and paste content into the chat box.
  • 4 types of visual delivery: Answers can generate AI data illustrations, HTML static pages, HTML dynamic dashboards, and presentation-grade PPTs.
  • Free switching among top models: Supports models such as DeepSeek, Kimi, GLM, and Hunyuan, letting the right model do the right job.
  • Capability encapsulation and reuse: Analysis capabilities can be encapsulated as Agents, skills, and scheduled tasks for continuous automatic operation.

How to use Domery

  • Find the entry point: Visit the Domery official website https://domery.cn/ and click "Start Now".
  • Build a knowledge base: In the "Knowledge Garden" Tab, create a new knowledge base, upload documents and materials, or connect data sources such as databases, data warehouses, and spreadsheets.
  • Configure definitions: Set permissions for data assets and, when necessary, configure SQL templates so AI fits your business definitions.
  • Ask in natural language: Ask questions directly in the conversation, and reference the knowledge base, historical sessions, or local files as context.
  • Get visual answers: AI automatically analyzes and generates data illustrations, HTML dashboards, or presentation PPTs, which can be encapsulated as Agents or scheduled tasks for reuse.

Domery's core advantages

  • Full-chain coverage: From event tracking collection and multi-source access to analysis and visualization, all completed in one stop, connecting the entire data process into a closed loop.
  • 0-barrier onboarding: One-click generation of multi-platform SDK tracking code, enabling data collection to begin without manual archiving by a data team.
  • Automatic definition alignment: AI automatically aligns the fields and definitions of multi-source data such as databases, data warehouses, and spreadsheets, so even the messiest data can be clarified in one question.
  • Conversation is analysis: Ask directly in natural language, and automatically complete summarization, refinement, and analysis, eliminating the tediousness of copy-pasting and writing SQL.
  • Delivery is the finished product: Answers come with four visualization forms: AI illustrations, HTML dashboards, and presentation-grade PPTs, ready out of the box for reporting.
  • Free model switching: Supports top-tier models such as DeepSeek, Kimi, GLM, and Hunyuan, matching the optimal model to each task.
  • Continuous capability reuse: Analysis workflows can be packaged as Agents, skills, and scheduled tasks, configured once and running automatically long-term.

Comparison of Domery's similar competitors

Dimension Domery (Tencent) TabTab
Product positioning Full-chain data AI assistant, "data grunt" Full-chain Data Agent, "AI data analyst"
Origin Incubated internally at Tencent, currently in beta Startup (team with IBM/Alibaba/360 background), angel round from Unity Ventures
Product form WeChat Mini Program + domery.cn official website Web-based SaaS + private deployment version
Technical architecture Multi-model scheduling + AI automatic alignment of field definitions Multi-Agent collaboration + semantic layer to prevent hallucination
Data collection One-click tracking SDK, covering iOS/Android/H5/Mini Program/server side DeepSearch + Browser-Use automatically scrapes web data (public domain such as e-commerce, reviews)
Data integration Multi-source access to databases, data warehouses, and spreadsheets Public domain + private domain (Feishu spreadsheets, MySQL) + vertical data sources (Tianyancha, etc.)
Analysis method Natural language questioning, automatic summarization and refinement, configurable SQL templates NL2SQL + built-in statistical/machine learning models, supports human intervention (HITL)
Context memory Three types of references: knowledge base (Knowledge Garden) + historical sessions + local files Long-term memory, supports dozens of rounds of dialogue, ultra-long context
Visualization delivery Four types: AI illustrations, static HTML pages, dynamic HTML dashboards, and presentation-grade PPT Rich charts (Sankey diagrams/funnel charts, etc.), export to Excel, PPT, web page, PDF

Domery's application scenarios

  • Automatic analysis of business reports: Business leaders directly use natural language to follow up on core metrics such as sales and traffic, and Domery automatically queries the data and generates conclusions with charts.
  • Self-service collection of tracking data: App/Mini Program teams generate multi-platform SDK tracking code with one click and launch it, and can self-serve view the usage funnel of new features at any time, without queuing to wait for the data team.
  • Document knowledge base Q&A: Upload product manuals, research reports, and contract PDFs to the "Knowledge Garden", and sales or customer service get precise answers as soon as they ask, saving the time of flipping through files.
  • One-click generation of reporting materials: Weekly reports, monthly reports, and review PPTs no longer need to be made by hand; after asking, presentation-grade PPTs and AI data illustrations are automatically produced.
  • Unified definitions across multiple data sources: When definitions in databases, data warehouses, and Excel are inconsistent, AI automatically aligns the fields and then provides unified Q&A, avoiding "each saying their own thing".