FIG.01 Robotics Operations Unit

mecka

The data and deployment layer for physical AI. 

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    DrawingMK-001.PNG
    Unit
    MECKA
    Title
    DATA + DEPLOY LAYER
    Dwg No.
    MK-001 · REV A
    Scale
    1:4 · ISO 30°
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    ( 01 ) MEET MECKA FIG 02 — BIMANUAL CELL / MK-002

    Teaching Robots About Carbon Life

    ( 01 )

    Robotics will be the largest GDP-expanding technology ever — increasing productivity and making multi-planetary expansion possible.

    ( 02 )

    Mecka builds the infrastructure for robots to learn about the real world and deploy reliably into commercial settings.

    Read the thesis →
    ( 02 ) THE CHALLENGE 3 FAILURE MODES — OBSERVED

    Physical AI is blocked by real-world data.

    ( Challenge 01 )

    Real world tasks are noisy.

    Models need to experience large scale edge cases and task specific demonstrations to generalize into the world.

    ( Challenge 02 )

    Raw video is not enough.

    Teams need annotation, context, QA, motion understanding, and evaluation workflows before real-world activity becomes useful training data.

    ( Challenge 03 )

    The lab is not the finish line.

    Robotics systems need to be tested against real workflows, real environments, and real constraints before they can work in the field.

    ( 03 ) THE MECKA LOOP SYSTEMS INTEGRATOR / PHASE 2

    The integrator of the robotics ecosystem.

    Mecka plugs into three ecosystems — hardware, models, and commercial partners — and owns the data and integration layer between them. That glue is what turns scattered capability into specialized robot deployments.

    ( 04 ) SIGNAL & ACTION PRIMITIVES MK-SIG / PERCEPTION MODULES

    How Mecka measures
    and acts on the world.

    Every module is a way of capturing or interacting with physical reality. Together they form the signal vocabulary behind the dataset.

    Download primitives kit →
    ( 05 ) PLATFORM EGOVERSE · FOUNDATIONS TO PHYSICAL AI

    Foundations to
    Physical AI

    Explore human data from around the world, built for robot learning — powered by Mecka.

    Explore the Egoverse →
    Mobile App

    Collect data
    at scale

    Capture environment and task-specific data for your use case in labs and at scale. Now available on iOS.

    Use Now ↗     Data Tools

    Browse,
    visualize, inference

    Web interface for browsing, visualizing and querying data. Collaborate on datasets with teams. Run inference APIs, view Egoverse, and request enterprise support.

    Explore Now ↗     Enterprise

    Evaluate
    & deploy

    Learn how Mecka can help your enterprise evaluate physical workflows and support real-world deployments.

    Learn More ↗
    ( Contact ) — MK-001 / REQUEST ACCESS

    Explore a robot deployment, today.

    For enterprise programs, research access, and dataset partnerships.

    Talk to Us →
    ( 07 ) FAQ REFERENCE / 5 ENTRIES

    Frequently
    asked.

    Mecka exists to bring Physical AI into real life, practically. We build the data, evaluation, and deployment infrastructure that helps robots and embodied AI learn from real human activity, adapt to real environments, and move from lab demos to reliable work in the world.
    Robotics labs, frontier model teams, and enterprises deploying embodied systems — anyone who needs task-specific real-world data, evaluation, or a path from research to deployment.
    Egoverse is Mecka's large-scale human interaction dataset, built from real-world first-person activity across tasks, spaces, and environments — designed for studying how people move, manipulate objects, and complete tasks.
    We don't build robots — we're the integrator. Mecka plugs into the hardware, model, and commercial ecosystems and owns the data and integration layer that makes specialized deployments possible.
    Start with dataset access, commission task-specific collection, run model evaluations, or build a full data program across environments. Reach out and we'll scope the right entry point.