Recently, the Ministry of Industry and Information Technology and the National Data Administration jointly issued the *Notice on Jointly Implementing the 2026 “Model-Data Resonance” Action*. The notice explicitly sets out tasks including building high-quality datasets, developing specialized agents, creating “model-data resonance” spaces, and forming innovation consortia, with the goal of establishing a virtuous cycle of “data – model – scenario application” by the end of 2026. This is a policy accelerator for AI-empowered new industrialization. The core proposition running through it is: without solid data infrastructure, there is no real intelligent economy.
As a national-level key “Little Giant” specialized and sophisticated enterprise and one of the first pilot units of the National Data Administration for trusted data spaces, KeenData has always been aligned with national strategy. As a leader in AI data infrastructure software, it provides end-to-end capabilities from AI data foundation to agent applications for industries such as manufacturing, energy, finance, and government.
Technology Foundation: Enterprise-Grade AI Hard Power to Support National Strategy
High-quality datasets are the “first kilometer” of model-data resonance. The key to building high-quality datasets lies not in the storage itself, but in whether the data can be efficiently used by AI.
KeenData’s core product, the KeenData Lakehouse data intelligence platform, is built on the “AI-in-Lakehouse” intelligent-driven architecture. It natively integrates the lakehouse engine, multimodal computing engine, and training-inference acceleration engine, enabling unified ingestion, governance, annotation, and operation of structured and unstructured data, making the data directly consumable by AI. The platform has achieved 97% self-developed code, holds over 200 technology invention patents, ranks first in market share for advanced technology lakehouse data platforms, and has been among the top five in China’s big data platform private deployment market for three consecutive years. It has also been recognized by Gartner and IDC as a recommended vendor. This technology foundation is highly aligned with the underlying requirements for building industry-wide high-quality datasets called for by the model-data resonance action.
Industry Implementation: “Model-Data Resonance” Practice Validated by 300+ Large Organizations
Leveraging the AI-in-Lakehouse technology foundation, KeenData has served over 300 large organizations across core industries such as energy, finance, manufacturing, and government, forming replicable and deployable industry AI data solutions:
- Energy: Built a full-awareness and green accounting system, connecting the entire production, transmission, and consumption chain to support real-time dispatch decisions and carbon accounting.
- Manufacturing: Enabled vehicle-cloud data linkage, achieving full lifecycle traceability of a vehicle identification number, supporting AI applications such as intelligent customer service and vehicle profiling.
- Government: Created city-level trusted data spaces and high-quality dataset platforms, facilitating public data authorized operations and AI model training.
- Finance: Built a unified real-time data foundation, achieving millisecond-level data supply to support real-time anti-fraud and intelligent risk control scenarios.
These cases are vivid implementations of the “industry common – scenario specific” two-level dataset system advocated by the model-data resonance action, and they prove that the value loop from high-quality data governance to industry agent applications has been successfully closed.
Ecosystem Collaboration: Building the Institutional Foundation of Model-Data Resonance
Model-data resonance is essentially a collective resonance of computing power, models, data, and applications. KeenData has always embraced the principles of openness, cooperation, and win-win, actively participating in industry standard setting and ecosystem alliance building, working with upstream and downstream partners to promote data element circulation and AI application deployment. As a pilot unit for trusted data spaces under the National Data Administration, KeenData has joined hands with multiple industry leaders, research institutions, and technology service providers to co-create an ecological model of “industry data space + AI model factory.” By opening platform capabilities, sharing industry experience, and co-building solutions, the company helps enterprises bridge the gap between data, models, and applications.
2026 is a critical year of triple resonance – policy, technology, and market. The model-data resonance action has charted a clear direction for enterprise intelligence: only when the data foundation stands firm can intelligence truly run. KeenData, as a leader in AI data infrastructure software, is building the bedrock of the intelligent economy in the era of model-data resonance.
