Services

Services for technical, computational, and intelligent problems

From problem analysis and solution design to implementation and validation. The engagement is shaped by the problem and required outcome, not a fixed package.

• Software Development & Engineering

  Designing, building, and improving real systems

  From requirements and architecture to full-stack development, APIs, data, integration, testing, and support for products, enterprise systems, and critical modules.

  When it fits

  • A product or system needs to be built from scratch.
  • An existing system is struggling with growth, complexity, or architectural debt.
  • A critical technical module needs to be designed and implemented reliably.
  • Multiple systems or services need to be integrated.

  Typical deliverables

  • Problem analysis and technical architecture
  • Full-stack and API implementation
  • Data modeling and integration
  • Testing, validation, and deployment guidance

  Service details

• Modeling, Algorithms & Optimization

  Turning complex problems into models and computational methods

  Mathematical modeling, optimization, Operations Research, metaheuristics, numerical methods, and quantitative analysis for decision and algorithmic problems.

  When it fits

  • A decision problem needs a precise mathematical model.
  • The current algorithm is too slow, unstable, or inaccurate.
  • The problem involves optimization, allocation, scheduling, or complex search.
  • Computational results need rigorous numerical analysis and validation.

  Typical deliverables

  • Problem formulation and mathematical model
  • Algorithm design and implementation
  • Numerical solving, simulation, or optimization
  • Sensitivity analysis and validation

  Service details

• AI & Machine Learning

  Building intelligent capabilities from data and models

  Data analysis, machine learning, deep learning, and practical intelligent capabilities embedded in software, with attention to accuracy, reliability, cost, and integration.

  When it fits

  • You have data but need prediction, classification, or insight.
  • A product needs a capability that simple rules cannot provide.
  • An existing model needs improvement in accuracy, speed, or stability.
  • An LLM-based capability needs controlled integration into a product.

  Typical deliverables

  • Data analysis and feature design
  • Model and evaluation
  • Inference service and integration
  • Documentation, testing, and reproducibility

  Service details

• Research & Technical Collaboration

  Research analysis, modeling, and technical implementation

  Collaboration on mathematical, statistical, and computational research and technical projects that need precise formulation, analysis, implementation, or validation.

  When it fits

  • A research question needs careful design and methodology.
  • Statistical or computational analysis is central to the result.
  • A research model or algorithm needs implementation and experimentation.
  • Results need to be documented in a technically defensible form.

  Typical deliverables

  • Research question and method design
  • Statistical and computational analysis
  • Modeling, algorithms, and implementation
  • Technical report, paper, or research documentation

  Service details