According to ChainCatcher, institutional digital asset data and software provider Lukka has officially announced the acquisition of data traceability and compliance platform PEER DATA. Lukka has long served fund managers, custodians, banks, and exchanges with auditable digital asset pricing, classification, and market intelligence. PEER DATA, on the other hand, leverages its Data Book of Record (DBOR) platform and patented Daisy Chain technology to enable contract digitization, data usage metering, and end-to-end traceability. The acquisition unites pricing, classification, and data lineage capabilities to build a more robust data infrastructure for financial institutions.
Technical Synergy: From Pricing to Full-Lifecycle Traceability
PEER DATA’s DBOR platform converts traditional contracts into programmable digital agreements and uses Daisy Chain to record every step of data flow. This allows institutions not only to verify the authenticity of data sources but also to meter usage precisely, meeting increasingly stringent regulatory audit demands. When combined with Lukka’s multi-source pricing models and asset classification engines, financial institutions can efficiently validate the origin of data behind asset valuations, achieving full-cycle auditability from data ingestion to report generation.
Unified Control Layer: Covering On-Chain Assets and AI Data Consumption
Post-merger, the combined entity will deliver a unified “control layer” service that spans pricing, classification, provenance, licensing, and governance. This layer extends beyond traditional digital assets to encompass broader data assets, including on-chain instruments and AI data consumption scenarios. This means a single platform can simultaneously handle crypto asset valuations and traceability for AI training data, offering institutional clients a harmonized governance framework across multiple asset classes. The new company will continue to operate under the Lukka brand, with headquarters in New York, while existing customer services remain unchanged. The joint team will further develop emerging use cases such as on-chain asset management and AI data consumption.