Overview

Close the Robotics Data Gap with AI

Structure thousands of hours of video data with the Ramblr Data Engine’s automation. Transform robotic policy execution and human-collected data into powerful datasets.

Collect.

Capture multimodal robotic data directly from real-world deployments.

Automate.

Run fully automated pipelines for temporal action annotation and visual grounding.

Scale.

Process and manage thousands of episodes across tasks and domains.

Collect

Real-World Data Collection Across Domains

The Ramblr Data Engine is purpose-built to scale data collection across robots, humans, and environments.

Robot-Captured Data

Data Factories

Commercial

Human-Captured Data

Industrial

Residential

Automate

Data Automation Optimizes Workflows

AI-powered data pipelines with a human-in-the-loop feedback system that align perception, language, reasoning, and action through multimodal grounding.

Scale

Structure Thousands of Real-World Episodes

The Ramblr Data Engine is purpose-built to scale data collection across robots, humans, and environments.

Language Grounding

Natural-language descriptions for episodes via in-context reasoning and semantic grounding.

Visual Grounding

Visual understanding with instance segmentation and object-level attributes.

Temporal Actions and Scene Graphs

Structured, time-aligned activity labels and scene graphs that capture objects, relationships, and state transitions across the sequence.

Multi-View Correspondence

Consistent cross-view alignment across global, egocentric, and wrist-mounted cameras.

With Ramblr’s labeling platform, we reduced the overhead of multiple annotators to one while ensuring high-quality, advanced annotation. Customized workflows and active learning automated a significant portion of the process while allowing us to refine edge cases, verify accuracy and ground-truth with ease.

Joel Meine - Sr. UX/CX Designer and Strategist at Harvest CROO

Features

AI-Powered Data Pipelines

Automated video annotation at scale, with human-in-the-loop quality control.

Large-Scale Dataset Management

Ingest, manage, and process thousands of real-world episodes every day.

Multi-View and Multimodal

Structure data from robotic task execution and human demonstrations in a single platform.

Use-Case

Ramblr and Harvest CROO Accelerate AI and Robotics in Agriculture.

Harvest CROO, partnering with Ramblr, used the Ramblr Data Engine to teach their autonomous, robotic harvesters to know when to pick a strawberry.

to play

Collect. Automate. Scale.

The Ramblr Data Engine brings AI for next-generation robotics into the physical world by structuring and aligning real-world data at scale.