Alberto Luengo Martin

Ventures

Companies built across medical imaging, wearable computing, and AI systems, plus selected advisory work.

Founded

  • Rkive AI

    Rkive AI

    Co-founder, CEO & CTO · 2024 — present
    rkiveai.com ↗

    An AI product for creators and teams, combining agent software with persistent memory, graph-backed retrieval, and native media systems across web, iOS, Android, and macOS.

    • Product and engineering ownership across application development, subscriptions, usage metering, analytics, and production infrastructure.

    • Supported by AWS Activate, Google for Startups, ElevenLabs, Lanzadera S24, and NVIDIA Inception.

    • AI reasoning
    • memory systems
    • applied research
  • FM Lab

    FM Lab

    Co-founder and CEO · 2020 — 2023

    Wearable computing, on-device AI, and voice interfaces, originating as a Medialab Prado project.

    • Began as a project at Medialab Prado before developing into an independent startup.

    • Built wearable hardware integrating on-device AI and voice interfaces.

    • wearables
    • edge AI
    • hardware
  • ThemTech

    ThemTech

    Founder, CEO and CTO · 2016 — 2020

    Applied machine learning for diagnostic imaging, including multimodal fusion and computational pathology.

    • Collaborated with Hospital Universitario Marqués de Valdecilla, the University of Cantabria, and Nextel Aerospace Defense Simulation.

    • Received the 2016 Best Technological Company award from the Leonardo Torres Quevedo Technological Foundation and SODERCAN’s Most Innovative Approach award.

    • computational pathology
    • computer vision
    • applied research

Advisory

  • Manfacter AI

    Applied AI advisor · 2024 — 2025

    Technical leadership, architecture, product direction, and delivery for AI workflows in additive manufacturing.

    • Built AI for additive-manufacturing quoting and design, including generative image-and-text-to-3D workflows.

    • Distilled a deep quoting model into an interpretable parametric function, replacing full-model inference with substantially cheaper mathematical evaluation.

  • Biotahealth

    Technology advisor · 2024 — 2025

    Led model training and applied AI systems for microbiome interpretation and recommendations using genetic microbiome test results and published research.

    • Designed a dual architecture pairing a trained analysis model with embedding-based retrieval for an AI nutritional assistant, evaluating accuracy, training efficiency, and inference cost.

    • Directed the product roadmap, web and app design and development, and technology grant writing.