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About Humaid

Empowering humanity with Physical AI.

We turn real-world physical work into scalable, model-ready data that accelerates deployable Physical AI — freeing people from manual labor or making it safer, easier, and more efficient for billions.

Join the team
Two engineers testing a robot arm together in a bright lab
On site · pilot program

Vision & mission

Our vision

Building the missing infrastructure layer for humanoid intelligence.

Create the real-world data foundation that represents physical work at scale — enabling Physical AI systems to reason, learn, and execute reliably across the Physical Economy.

Our mission

The world's leading data infrastructure for large behavioral models.

Build the scalable data and representation layer for Physical AI by capturing real-world physical work and transforming it into high-quality, structured, model-ready data. We learn the structure, variability, and causality of human tasks across environments and embodiments, so models can generalize beyond the lab and support robust autonomous execution in production settings.

Exclusive pilot program

Humaid launches its groundbreaking exclusive pilot program with one of the largest companies in Central Asia, AKFA Group — live capture across factories, logistics, construction, hospitality and retail sites.

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Employees in the group
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Companies in the group
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Countries of operation

How we operate

A field team, an engineering team, one pipeline.

Fast, practical, and deployed — not a research museum. We run live pilots inside large industrial environments and turn every shift into reviewed, labeled, model-ready data.

Capture fleet+50 deploying soon
20

Wearable rigs in the field, three cameras each, remotely monitored

Open dataset
120h

EgoViz-120 on Hugging Face — 5,392 clips, 12 task categories

Per session
23

Synchronized channels in one MCAP, on one clock

Verticals
8

Manufacturing to healthcare — real shifts, not staged tasks

Our team

The people who shape our ideas, drive innovation, and build the future.

We are driven by curiosity, inspired by innovation, and committed to excellence. Our people are the heart of our company — a borderline mix of AI/ML engineers, roboticists, and operators shaping the future.

  • Bobirjon Mardonov

    Bobirjon Mardonov

    Co-Founder & CEO

    Sets the company vision, drives strategy, and leads the team building Humaid into the leading human-in-the-loop data platform for Physical AI.

  • Doniyorbek Rakhmonberdiev

    Doniyorbek Rakhmonberdiev

    CTO

    Owns the technical roadmap and architecture, leading the engineering org across the data collection platform, robotics integrations, and ML infrastructure.

  • Jasurbek Ergashev

    Jasurbek Ergashev

    Software Engineer

    Owns the data infrastructure — building and operating the pipeline, observability, and deployment systems that turn fleet captures into robot-ready datasets.

  • Saydullo Ismatov

    Saydullo Ismatov

    AI/ML Engineer

    Builds and evaluates the models that turn raw captures into structured, model-ready data — automatic chunking, action labeling and hand-pose reconstruction.

  • Jakhongir Bakhodirov

    Jakhongir Bakhodirov

    Hardware Engineer

    Designs and builds the capture hardware — sensor rigs, wiring, and on-device electronics that keep the fleet recording reliably in the field.

  • Abdulmumin Abdusattorov

    Abdulmumin Abdusattorov

    Hardware Engineer

    Assembles, calibrates and tests the wearable capture rigs — camera mounts, sensors and power — so every rig that ships to a facility records clean, synchronized data.

  • Muhammadchingiz Bakhodirov

    Muhammadchingiz Bakhodirov

    Operations Manager

    Runs day-to-day operations — coordinating data collection sessions, the field team, and logistics so the fleet stays productive on the ground.

How we work

Flat, open, and owned.

We're looking for driven and creative people to become part of our team. We value a flat structure, open communication, and a culture where everyone takes full ownership and responsibility.

  1. 01

    Work on the real bottleneck

    Physical intelligence is limited by real-world data. Everything we build exists to collect, refine and deliver more of it.

  2. 02

    Access to real environments

    Large industrial environments where we run live pilots and capture rare edge cases at scale.

  3. 03

    Ship, then iterate

    A fast, practical team that actually deploys — measurable impact over academic elegance.

  4. 04

    Ownership by default

    Flat structure, open communication, and full responsibility for the outcome of your work.