Big-O Information Intelligence Announces 'Digital Sustainability Credit System (DSCS)'

TAIPEI – May 20, 2026 – Big-O Information Intelligence Corp. today officially announced the 'Digital Sustainability Credit System (DSCS).' This system integrates the GRI and SASB international sustainability reporting frameworks, OpenSign legally valid electronic signatures, Bitcoin blockchain timestamps, and the injection of schema.org structured data. It aims to help increase the probability of SME brands being cited by generative AI platforms such as ChatGPT, Gemini, and Perplexity in the era of generative AI.

■ Background of the Announcement
In recent years, the main battleground for corporate search exposure has been gradually shifting from traditional search engines to generative AI platforms. When consumers make direct inquiries to AI, the engines tend to cite brands that have well-prepared structured data, have undergone third-party verification, and can be independently validated. According to the company's observations, many SMEs in Taiwan are not yet prepared for this change, exhibiting a phenomenon of being 'AI stealth brands.'
At the same time, the global ESG regulatory environment is becoming stricter each year. Regulations such as the European Union's CSRD, California's SB-253, and CBAM all require companies to provide verifiable sustainability information. Caught between compliance pressure and cost burdens, SMEs are in dire need of an integrated and affordable solution.

■ Product Core: Three-Layer Integrated Framework
DSCS integrates the following three core technologies to provide a coherent process for corporate ESG sustainability information:

- Structured: Automatic mapping to the two major international standards, GRI and SASB, allowing each carbon emission data point to be traced back to specific clauses.
- Signed: Provides immutable and publicly verifiable evidence through OpenSign legally valid electronic signatures, OpenTimestamps, and Bitcoin blockchain timestamps.
- Searchable: Increases the probability of brand citation by generative AI by injecting schema.org/CreativeWork structured data into an embeddable sustainability badge.

■ Technical Differentiation: Two-Layer Explainable AI Architecture
While many AI tools on the market adopt a 'black-box model,' DSCS uses a two-layer architecture where an 'outer layer of large-scale AI engines handles semantic understanding, and an inner layer of explainable algorithms handles decision-making.' The decision-making layer employs academically derivable methods such as Rough Set Theory and Multi-Criteria Decision Making (MCDM), ensuring that all proposed items are accompanied by a basis for judgment.
Founder Elaine Chang has long focused on the research field of 'Explainable AI (XAI).' This spirit is implemented in the product design, building a mechanism where each carbon emission data point corresponds to specific GRI and SASB clauses. This provides customers with a complete information chain that is auditable, traceable, and verifiable.

■ Current Status of Patent Protection
On February 2, 2026, the company filed for both a utility model patent and an invention patent for its core algorithm, 'Low-Carbon E-commerce Recommendation System Combined with Multi-Criteria Decision Making.' The utility model patent has already been granted, and the invention patent is currently under substantive examination. The company plans to initiate PCT international applications in the future, with prioritized entry into the Japanese and European markets.

■ Target Users
- SMEs that have started ESG information disclosure but have not yet established a complete information governance process.
- Brand companies planning to expand into the Japanese, Southeast Asian, or European markets.
- Companies preparing for an IPO that require verifiable sustainability information.