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CzechMath

Team of 20 mathematicians at Czechmath, a.s. focuses on the development and implementation of innovative solutions using artificial intelligence in the fields of E-commerce, FinTech, energy, Industry 4.0 and others. Our technologies help optimize processes, improve efficiency and provide accurate predictions that add value to our clients. By combining deep mathematical knowledge, AI algorithms and practical experience, we are able to successfully solve even the most complex challenges. Our goal is to create smart and sustainable solutions that turn data into key strategic advantages. In short, unsolvable problems are our daily bread.

  • Vendor typesCustom Services
  • Client typesB2B (enterprises), B2B (startups and SMEs)
  • Business ImpactsCustomer Product & Service Innovation, Data-Driven Decisions & Planning, Operational Efficiency & Cost Savings, Risk Reduction & Compliance
  • IndustryEnergy, Renewables & Utilities, Financial Services, Markets & Insurance, Healthcare, Pharma & Biotech, Industry Agnostic, Manufacturing, Transportation, Mobility & Logistics
  • Application areasArea Agnostic, Data Analytics & Business Intelligence, Manufacturing, Product Development, Innovation & R&D, Strategy, Planning & Decision-Making
  • Solutions & Services

    Custom Solutions

    Custom AI Development, Proof-of-Concept & Pilot Projects, System Integration & Workflow Automation

    Data Services & Operations

    Data Analytics & Business Intelligence, Data Preparation & Management, Managed AI Services & Operations, Synthetic Data Generation
  • Technical expertises

    Classical AI & Applications

    Optimization & Decision Intelligence, Reinforcement Learning, Simulation / Digital Twins, Time Series Analysis & Forecasting

    Data & Infrastructure

    Data Collection & Annotation, Data Engineering & Architecture, Data Integration & Pipelines, Data Visualization & Business Intelligence

    Generative AI

    AI Agents & Task Orchestration, Prompt Engineering, Fine-tuning, RAG & Model Adaptation

    Machine Learning & MLOps

    Classical ML & Applied Predictive Modeling, Synthetic Data Generation

energy consumption prediction, energy production prediction, linear optimisation, energy prices prediction, digital twins, AI agents, RAG, documentation assistents,

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