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Product noteFinancial data infrastructure

Vietnam market data, ready for serious research.

Promvis organizes financial data so analysts and AI workflows can query, compare, and cite it with less manual cleanup.

What makes the data usable.

01

Structured market data

Market and company data becomes easier to clean, query, compare, and reuse.

Data
02

Research-ready workflows

Analysts move from source data to decision context without rebuilding the same prep work.

Research
03

AI-ready access

Clean structures make AI-assisted search, summary, and comparison more reliable.

AI infra

From source data to research workflow.

01

Normalize the source layer

Turn fragmented financial data into structures that support retrieval and comparison.

02

Design for research use

Expose the data in ways analysts, products, and agents can actually use.

03

Make AI useful

Use structured context so AI can query, summarize, and navigate with fewer manual steps.

What Promvis proves about data products.

Market data

Capital-markets domain

A concrete CoderPush product reference in Vietnam financial data and research workflows.

AI readiness

Data before model

Promvis reflects a core belief: production AI starts with data engineering and domain constraints.

Delivery proof

Reusable delivery pattern

The same pattern applies to client systems that need reliable data before AI features.

Next step

Bring the data workflow that keeps slowing research.

We will review the source data, research path, and AI use case, then recommend Promvis, a custom system, or a narrower data cleanup.