Promvis focuses on financial data infrastructure for Vietnam's market. It gives CoderPush a direct product reference for the kind of structured data and research workflows that AI systems need before they can be useful.
The problem
AI research products are only as good as the financial data underneath them. If the source data is fragmented, inconsistent, or hard to query, the model layer becomes a thin interface over unreliable foundations.
What we built
Promvis rebuilds financial data workflows around cleaner structure, research usability, and AI-native access patterns. The point is not only to present data, but to make it usable for analysts, products, and agents.
Engineering shape
- Structured financial data workflows
- Research-oriented product surfaces
- Foundations for AI-assisted market analysis
- Data access patterns suited to Vietnamese capital markets
Why it matters
Promvis reinforces a core CoderPush belief: production AI starts with data engineering, domain structure, and product constraints. The visible assistant is only the last mile.
Result
Promvis gives CoderPush a capital-markets proof point for teams that need data infrastructure before they can safely deploy AI research workflows.