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MAIA Labs

MAIA Labs is an award-winning Czech medtech startup developing advanced AI solutions for real-time detection, classification, and measurement of lesions during endoscopic procedures, especially colonoscopies. Our AI assists doctors in improving the quality of preventive screenings, reducing missed findings, and simplifying documentation. The solution is compatible with all endoscopy towers, is medical device and CE certified, and is being piloted in leading hospitals across Europe and the US, including collaborations with Mayo Clinic. We aim to expand into other specialties (gastroscopy, bronchoscopy, urology) and support underdeveloped regions in improving diagnostic care.

  • Vendor typesProducts & Devices
  • Client typesB2B (enterprises), B2B (startups and SMEs), B2G
  • Business ImpactsCustomer Product & Service Innovation, Data-Driven Decisions & Planning, Employee Enablement & Productivity, Operational Efficiency & Cost Savings
  • IndustryEducation, Healthcare, Pharma & Biotech, Industry Agnostic, Science & Research
  • Application areasData Analytics & Business Intelligence, Manufacturing, Operations & Process Automation, Product Development, Innovation & R&D
  • Solutions & Services

    Consulting & Advisory

    AI Strategy & Consulting, AI-Powered Digital Transformation, Use Case Identification

    Custom Solutions

    Custom AI Development, Embedded & Edge AI Development, Model Customization & Adaptation, Novel Algorithm & Model Development, Proof-of-Concept & Pilot Projects

    Data Services & Operations

    Data Annotation & Labeling

    Education

    Education & Learning Platforms

    Platforms, Tools & Infrastructure

    AI/ML Development & Operations Platforms (MLOps), Data & AI Platforms

    Ready-Made Solutions

    AI-Enabled Hardware, Assistants & Copilots, Products & Applications, SaaS

    Research & Innovation

    Research & Experimental Development
  • Technical expertises

    Classical AI & Applications

    Computer Vision & Video Analytics, Natural Language Processing (NLP), Simulation / Digital Twins, Speech Recognition & Audio Intelligence

    Data & Infrastructure

    Data Collection & Annotation, Data Governance, Quality & Compliance, Data Integration & Pipelines, Deployment Infrastructure & Compute Optimization, Hardware & Accelerated Systems, Metadata Management & Semantic Layering, Specialized AI Data Platforms & Tools

    Machine Learning & MLOps

    AI Testing, Evaluation & Validation, Classical ML & Applied Predictive Modeling, MLOps, Model Lifecycle & Tooling

    Research & Innovation

    Advanced Algorithm & Model Development, Applied AI Innovation & Prototyping, Experimentation & Evaluation Methods, Scientific AI Research & Publications

    Robotics & Embedded AI

    Edge AI / Embedded Systems

machine learning, deep learning, neural networks, convolutional neural networks, computer vision, supervised learning, unsupervised learning, transfer learning, reinforcement learning, natural language processing, pattern recognition, anomaly detection, image segmentation, feature extraction, predictive modeling, classification algorithms, regression analysis, clustering, data augmentation, ensemble methods, artificial intelligence, explainable AI, model interpretability, edge AI

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