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Solutions

Use appropriate technology to solve real business problems

Our solution capabilities span data, AI, distributed infrastructure, intelligent monitoring, healthcare IT, and IoT. Each solution is designed for the client’s business context rather than constrained by a fixed product.

Capability areas

Six capability areas for different digital challenges

Technical capabilities support solution design, proof of concept, and project delivery. Every solution is tailored to business processes, data foundations, and delivery conditions.

01

Data analytics and intelligent decision support

Help clients build an end-to-end workflow from raw data to analysis and decision support.

  • Data ingestion
  • Sample analysis
  • Data cleaning and preprocessing
  • Statistical analysis
  • Data exploration
  • Model development
  • Model evaluation
  • Predictive analysis
  • AI-assisted analysis
  • Reporting

Suitable for healthcare, enterprise operations, management decisions, and other scenarios requiring systematic analytics.

02

Enterprise AI and large-model applications

Help organisations assess, plan, and build large-model and AI application environments for internal business use.

  • Enterprise AI deployment
  • Private model applications
  • Large-model service interfaces
  • Model access and management
  • AI application systems
  • Enterprise knowledge applications
  • Intelligent workflows
  • Industry agent solution design

We currently provide related consulting, solution design, and technical validation. Industry agents without a public prototype are not presented as existing commercial products.

03

Distributed and trusted data infrastructure

Design data infrastructure for growing data volumes, reliable storage, cross-region access, and trusted verification.

  • Multi-node distributed storage
  • Data chunking
  • Data replication
  • Cross-region deployment
  • Access authentication
  • Elastic scaling
  • Multi-language APIs
  • Data integrity verification
  • Blockchain evidence anchoring
  • File fingerprint verification

AnyStore is a key technical prototype in this area. It has no confirmed customer production deployment and is not presented as a mature customer case.

04

Intelligent IT operations monitoring

Build unified monitoring and early-warning systems for organisational information centres and IT infrastructure.

  • Servers and databases
  • Switches and routers
  • UPS and power environment
  • Other information infrastructure
  • Automated collection
  • Real-time status analysis
  • Threshold configuration
  • Alerts and early warning
  • Desktop and mobile views
  • Operational issue diagnosis

ClusterMonitor and MK-ICIMP both belong to this capability area, but they are separate systems.

05

Healthcare data and intelligent analytics

Industry solutions for healthcare institutions’ data, analytics, and information infrastructure needs.

  • Healthcare Big Data Platform
  • Healthcare data analytics
  • Healthcare data mining
  • Medical imaging analysis
  • Healthcare decision support
  • Hospital information-centre monitoring
  • Data infrastructure

We have practical project experience with healthcare institutions, making this one of our more established publicly documented industry areas.

06

IoT and industry digital systems

Design digital systems combining IoT devices, positioning technology, data platforms, and industry workflows.

  • Intelligent positioning
  • IoT data
  • Device management
  • Industry application platforms
  • Enterprise business systems
  • Regional digital systems
  • Data and business alignment

Related software assets include the MK-IPMP IoT Intelligent Positioning Management Platform.

Solution principles

Do not constrain project needs to fixed products

We begin with consulting: understand the problem first, then determine the appropriate technology combination and implementation path.

  • Start from the client’s business context and delivery conditions
  • Make technology choices serve real project objectives
  • Reduce delivery risk through consulting, solution design, and technical validation

Context discussion

Bring technology choices back to the business problem

Assess the solution’s scope, delivery conditions, and implementation path against business objectives, data foundations, and existing systems.

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