Partnerships
Built to partner with platforms, integrators and institutions
A specialist production layer inside your ecosystem.
CHINH PHONG does not aim to replace the customer's existing technology ecosystem. We add one specialist layer: Industrial Data Production. Partners keep the platform, customer relationships, infrastructure and business systems; CHINH PHONG turns physical and legacy information into clean, structured and verifiable input.
DESIGNED FORThese partnership models are designed to be configured per market and agreement. Naming any partner requires their written approval, so no partner is named here.
Partnership models
How we work with partners
Joint Solution Design
We join from the start to lock the problem, schema, rules, security and scalability.
Embedded Data Factory
CHINH PHONG operates as a capability layer inside the partner's larger architecture.
Co-Delivery
The partner owns the contract and the ecosystem; CHINH PHONG owns the specialist data production layer.
White-label / Co-brand
A choice based on market strategy and agreement.
Industry Pack Co-development
We build the standard with a first customer, then replicate it across many projects.
A direct message to platform teams
You do not need another OCR tool. You need a production layer that makes legacy data ready for your platforms, databases and AI.
Partner tracks
Who we partner with
Major technology groups and platforms
Joint architecture, standards, capacity, security and a data production model. No partner is named until approved.
Regional and project partners
Provinces, local agencies, specialized units and integrators, with Industry Packs delivered by batch, location or project.
Enterprise and institutions
Businesses, hospitals, schools, banks, museums and organizations turn legacy stores into data assets that can be searched, analyzed and used by AI.
How to start
Start with one dataset. Design for industrial scale.
The first project sets the schema, rules, quality standard and acceptance criteria. Once those hold on one real dataset, the same production layer can be repeated across locations, batches and projects.
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