List of Rerun Platform Customers
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Since 2010, our global team of researchers has been studying Rerun Platform customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Rerun Platform for Apps Development from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Rerun Platform for Apps Development include: Meta, a United States based Media organisation with 75945 employees and revenues of $164.50 billion, Hugging Face, a United States based Professional Services organisation with 500 employees and revenues of $50.0 million, Ultra, a United States based Manufacturing organisation with 10 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using Rerun Platform, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Rerun Platform customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Hugging Face | Professional Services | 500 | $50M | United States | Rerun | Rerun Platform | Apps Development | 2024 | n/a |
In 2024, Hugging Face integrated the Rerun Platform into its LeRobot project to visualize robotics model training progress and dataset examples. The integration is cataloged under Apps Development and targets ML engineering workflows for robotics model training and dataset curation in the United States.
The implementation centers on the Rerun Platform as a visualization and telemetry ingestion layer, with the Rerun Viewer used to render training metrics, frame level dataset samples, and session timelines during model experiments. Instrumentation was implemented in training loops and dataset sampling routines to stream episodic data and telemetry into Rerun Platform visualization sessions, enabling engineers to inspect model behaviors and dataset example variance alongside loss and sensor signals.
Operational coverage focuses on Hugging Face engineering teams responsible for LeRobot, specifically ML engineers and dataset curators working on robotics models. Governance emphasized embedding visualization into development workflows, standardizing capture of dataset examples and training snapshots for reproducible inspection, and configuring access controls within the Rerun Viewer to align with engineering collaboration practices.
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Meta | Media | 75945 | $164.5B | United States | Rerun | Rerun Platform | Apps Development | 2023 | n/a |
In 2023, Meta integrated the Rerun Platform into Reality Labs' Project Aria Dataset Explorer to support egocentric AI research and dataset inspection. The Rerun Platform provides sequence visualization capabilities through the Rerun Viewer and is implemented as part of the Apps Development tooling for spatial-computing research.
Deployment is focused within Meta Reality Labs in the United States and scoped to dataset exploration and annotation workflows for Project Aria sensor streams. The implementation supports sequence level playback, time synchronized visualization of egocentric sensor data, and per frame annotation overlays. These capabilities are used by research teams to inspect sequences for dataset quality, label temporal events, and iterate on training data selection.
Architecturally the Rerun Platform is surfaced inside the Dataset Explorer as a viewer component that renders spatial trajectories, camera frames, and associated metadata in a timeline driven interface. Functional modules implemented include the Rerun Viewer sequence renderer, annotation layer management, and dataset indexing for sequence retrieval. Integration points center on the Project Aria Dataset Explorer data feeds and research storage systems for sequence access and annotation persistence.
Governance is applied through research workflow orchestration for dataset inspection and annotation review cycles, with instrumentation to track sequence provenance and annotation versions. The Rerun Platform and Rerun Viewer together centralize sequence visualization within Project Aria workflows, enabling structured inspection and iterative dataset curation.
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Ultra | Manufacturing | 10 | $1M | United States | Rerun | Rerun Platform | Apps Development | 2024 | n/a |
In 2024, Ultra implemented the Rerun Platform to support warehouse robotics engineering in the United States. The Rerun Platform is deployed as an Apps Development solution for end to end data visualization and transformation pipelines focused on model training, debugging, and dataset preparation.
Ultra configured Rerun Data Platform modules for ingest, visualization, and transformation to capture and process sensor streams from robotics testbeds. The implementation emphasizes replayable visualizations and episode level transformations that feed downstream training datasets, with configuration and automation aligned to iterative engineering workflows.
Operational ownership rests with Ultra's robotics engineering team in the United States, where the platform is used for dataset lifecycle management, visual debugging, and preparation of supervised training sets. Governance was structured around versioned datasets and visualization led validation steps to support repeatable model debugging and dataset curation processes using the Rerun Platform.
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