Skip to main content
?

杭州中奥科技

The company offers an AI‑enabled operational platform that aggregates and governs heterogeneous government data into a unified middle platform. It provides domain‑specific analytics—large‑language models, computer‑vision, and time‑series forecasting—for public security, transportation, and judicial agencies, delivering real‑time decision‑support dashboards and standard REST/GraphQL and FHIR APIs for integration. The platform is delivered as a managed service with continuous model retraining, system monitoring, and compliance‑focused security controls.

Amsterdam, NetherlandsFounded 20198300+ followers
Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Government agencies often operate with siloed data repositories, manual reporting workflows, and limited analytical tools, which impede rapid decision‑making for public safety, traffic management, and legal administration.

Solution

The company delivers an AI‑enabled operational platform that aggregates heterogeneous government data into a unified data middle platform, then layers business and intelligence services on top. Core modules provide domain‑specific applications for public security, transportation, and judicial affairs, leveraging large‑scale language models, computer‑vision analytics, and predictive algorithms. Real‑time dashboards and situational‑awareness visualizations give officials actionable insights without extensive manual processing. The platform integrates with existing government IT stacks via standard APIs and adheres to national security and data‑privacy regulations. By offering the solution as a managed service, agencies can adopt advanced analytics quickly while the provider maintains the underlying infrastructure and model updates.

Target Audience

Primary customers are national and regional public security bureaus, transportation management authorities, and judicial administration agencies responsible for smart‑city and e‑government initiatives.

Features

  • Data, business, and intelligence middle‑platform architecture that centralizes data ingestion, cleansing, and governance for multiple government domains
  • Large‑model‑driven analytics (LLM, CV, time‑series forecasting) for predictive policing, traffic flow optimization, and case‑law recommendation
  • Integrated “public security brain” and “traffic intelligence hub” with holographic perception dashboards for city‑wide situational awareness
  • Real‑time decision‑support dashboards and drill‑down visualizations accessible via web portal or secure desktop client
  • Standardized REST/GraphQL and FHIR‑compatible APIs for seamless integration with legacy E‑government systems and GIS platforms
  • Role‑based access control, end‑to‑end encryption, and compliance with national cybersecurity standards (e.g., GB/T 22239)
  • Managed‑service deployment model with continuous model retraining, system monitoring, and on‑site technical support
This profile is AI-generated and may contain inaccuracies.