- Tiger Research stated the enlargement of digital belongings into mainstream finance is rising the significance of on-chain knowledge infrastructure.
- The report recognized completeness, consistency and stability because the core necessities for on-chain knowledge infrastructure in institutional finance, and pressured the necessity to help a 24-hour blockchain setting.
- The report highlighted Dunamu subsidiary Lambda256‘s on-chain knowledge platform DataShare for example that meets these circumstances, and pointed to potential functions in real-world asset tokenization (RWA) and AI-based cost programs.
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Tiger Research stated the enlargement of digital belongings into mainstream finance is rising the necessity for dependable knowledge infrastructure.
In a report, the agency stated on-chain knowledge is publicly accessible however not in a kind that conventional monetary programs can use immediately. Blockchain knowledge is basically uncooked knowledge that should be listed, decoded and normalized, requiring separate infrastructure to fulfill financial-industry requirements.
Tiger Research recognized completeness, consistency and stability because the core necessities for on-chain knowledge infrastructure utilized by institutional finance. If transaction knowledge is lacking or if blockchain reorganizations and community errors aren’t correctly mirrored, errors can unfold from stability calculations and settlement to each subsequent stage of information use. In a 24-hour blockchain setting, the report added, infrastructure should additionally have the ability to reply in actual time throughout chain upgrades.
For example of a platform that meets these circumstances, the report highlighted DataShare, the on-chain knowledge platform developed by Lambda256, Dunamu’s blockchain know-how subsidiary.
DataShare makes use of its personal indexing engine to normalize knowledge unfold throughout a number of blockchains right into a format suited to monetary establishments’ present working environments. The collected knowledge is cross-checked towards blockchain ledgers, and the system is designed to stay steady throughout heavy request volumes and node failures. The report stated the platform additionally meets financial-sector safety and community separation necessities by means of on-premise deployment based mostly on home web knowledge facilities and SOC 2 certification.
The report cited real-world asset tokenization, or RWA, and AI-based cost programs as key use instances. As extra listed shares are issued on blockchains in tokenized kind, monetary establishments face a brand new process: precisely figuring out buyers’ token holdings when processing dividends or voting rights. The report additionally stated infrastructure able to delivering correct finalized knowledge will likely be important in an agentic cost setting, the place AI executes funds.
“Each monetary course of, from asset issuance to cost and settlement, is being reorganized round on-chain knowledge,” Cho Yoon-sung, a senior researcher at Tiger Research, stated. “Lacking or inaccurate knowledge can create crucial regulatory dangers past merely undermining service reliability. Choosing the proper knowledge infrastructure is the place to begin for constructing profitable digital-asset providers.”













