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P2B2B · Data & AI workbench

Research commercialization platform

Connect scientific data to professional project delivery

This P2B2B platform is in development. Zhiway provides data and an AI workbench; IP firms, technology-transfer professionals and other service providers review evidence and deliver projects; enterprise customers pay for specific research and service outcomes. The first use case is competitive landscape research.

WORKFLOW

How the work progresses

  1. 01

    P · Data & AI platform

    Organize patent, literature and company information for conversational investigation, interface-based review and report preparation.

  2. 02

    B · Service provider

    Apply domain expertise, validate findings and take responsibility for explaining and delivering the work.

  3. 03

    B · Enterprise customer

    Ask questions about technical approaches, competition and partnerships, and pay for specific outcomes.

IN PRACTICE

Start with research a client can inspect

An enterprise identifies a technical direction. A service provider scopes the investigation, studies patents, papers and relevant companies, checks key evidence and prepares a report. GUI+CUI connects conversational investigation with evidence, charts and reports in the interface. Output screening, partnership matching and early proof-of-concept needs are subsequent directions.

CURRENT STATUS

Current status & collaboration

Being developed around technology-market needs, with an industry association expected to operate the application after completion. The path is demonstration, validation through paid custom projects, then reusable product capabilities.

FAQ

Questions you may have

What do the three parties do?

The platform supplies data and the AI workbench, service providers conduct research and serve clients, and enterprises define needs and pay for outcomes.

Is the platform already operating?

It is in development and use-case validation. The application for technology-market needs is intended to be operated by an industry association after completion.

Where does proof of concept fit?

After identifying promising research outputs, needs and validation conditions must be checked with enterprises before arranging early proof of concept. This is a subsequent direction for the platform.

LET’S TALK

Start with the work you need to move forward

Bring a specific task. We can work through the data, tools and delivery it needs.

Book a demo / Contact