Ropedia

• HOMIE Gen2

  HOMIE

• 2026-07-23 - Pre-A - $22M - Ropedia raises US$22M new Pre-A round, taking Pre-A funding to US$30M

  Ropedia announced a US$22 million new Pre-A round, bringing its combined Pre-A financing to US$30 million including an US$8 million March tranche. - source: finsmes.com

• 2026-07-23 - Pre-A - $8M - Ropedia raises $8M first Pre-A tranche for physical-AI data infrastructure

  Ropedia raised an $8 million first Pre-A tranche in March 2026; a later $22 million tranche brought combined Pre-A funding to $30 million. - source: markets.financialcontent.com

Events

• 2026-08-25 - Product Launch - Ropedia launches HOMIE Gen2 for Physical AI data capture

  Four wide-angle cameras provide 360-degree coverage alongside spatial audio and inertial sensing. Ropedia states that the streams are synchronized within 50 microseconds and can produce more than ten processed modalities.

  Source
• 2026-07-23 - Funding - Ropedia raises US$22M new Pre-A round, taking Pre-A funding to US$30M

  The current disclosed financing is US$22 million; the US$30 million headline combines it with an US$8 million March round. Ropedia is scaling physical-AI data infrastructure around its HOMIE wearable collection device. The company says Xperience-10M contains more than 10 million interaction episodes and over 10,000 hours of multimodal real-world data.

  Source
• 2026-07-23 - Funding - Ropedia raises $8M first Pre-A tranche for physical-AI data infrastructure

  The March financing contributed US$8 million toward Ropedia’s two-tranche Pre-A programme. A later US$22 million tranche brought combined Pre-A funding to US$30 million. The capital supports physical-AI data infrastructure, including real-world multimodal interaction collection for robotics training.

  Source
• 2026-03-16 - Product Launch - Ropedia releases Xperience-10M multimodal physical-AI dataset

  The release synchronizes video, audio, depth, camera pose, motion capture, inertial sensing and language annotations around real-world human activity. Ropedia designed the records to preserve the connection between perception, action, intent and physical consequence rather than isolated frames. The dataset is offered for foundation-model pretraining, task-specific adaptation, evaluation and real-to-simulation transfer workflows.

  Source
• 2025-12-16 - Product Launch - Ropedia introduces HOMIE human-experience capture platform

  HOMIE combines a lightweight head-mounted form factor with multimodal sensing, ego-motion tracking, localization and synchronized data capture. Its software uses spatial foundation models to structure raw recordings with depth, hand-object interaction, body-motion and panoramic-scene annotations. Ropedia designed the resulting data for world models, real-to-simulation workflows and vision-language-action model training.

  Source

Comparable profiles

• JOYX

  stack adjacency - Physical AI Experience Data · Physical AI Training Data

• Worldmodeldata

  stack adjacency - Physical AI Training Data

• Vision Lab

  stack adjacency - Embodied Data Capture · Physical AI Training Data

• Sureform

  stack adjacency - Embodied Data Capture · Physical AI Training Data

• Realset AI

  stack adjacency - Embodied Data Capture · Physical AI Training Data

• microagi

  stack adjacency - Embodied Data Capture

• FrodoBots

  stack adjacency - Embodied Data Capture

• LabyrinthAI

  stack adjacency - Physical AI Training Data

• FORMOVE GmbH

  stack adjacency - Physical AI Training Data

• MANUS

  stack adjacency - Embodied Data Capture

• Rokoko

  stack adjacency - Embodied Data Capture

• Noitom

  stack adjacency - Embodied Data Capture

Shared workflows

• DexForce

  workflow adjacency - Embodied World Model Training

• Physical Intelligence

  workflow adjacency - Embodied World Model Training

• Aether AI

  workflow adjacency - Embodied World Model Training

• MAUM.AI

  workflow adjacency - Embodied World Model Training

• Noetive

  workflow adjacency - Embodied World Model Training

• XIRRA

  workflow adjacency - Embodied World Model Training

• Reactor

  workflow adjacency - Embodied World Model Training

• Stanhope AI

  workflow adjacency - Embodied World Model Training

Context tags

• Physical AI training data - Stack Layer - Ropedia packages real-world sensor data for physical-AI training and evaluation.
• Embodied data capture - Stack Layer - HOMIE captures synchronized multimodal human experience for embodied AI.
• Physical AI experience data - Stack Layer - Ropedia captures multimodal human experience for physical-AI training.
• Embodied world model training - Workflow - Ropedia identifies world-model training as a use for its captured experience data.