January 30, 20262 min read13 views0 likes
Author: Fizzion Team

Fizzion: Solving the Robotics Data Crisis


https://storage.googleapis.com/fizzion-ai-bucket/blog/1769785535689-Data_Crisis.pngIn the rapidly evolving world of robotics and automation, the quality of training data is often the bottleneck for progress. Fizzion has positioned itself as a key player in this space, dedicated to providing the "data that moves machines". By addressing the critical shortage of high-quality training data, Fizzion aims to improve model robustness through guaranteed data diversity.


Origins and History


Fizzion's expertise is born from practical experience. The company was originally founded as "Hammoq". In its early days, the team built hardware and software specifically for thrift stores, collecting and training their own data across the world. Having "been through the pain of building out everything," they transitioned to building their own hardware to solve broader industry challenges.


Solving the Data Crisis


Today, Fizzion focuses on solving the robotics data crisis through a multi-faceted approach to data collection. Their operations generate over 1,000 hours of diverse demonstration data daily. This data is gathered from a wide variety of environments, including:


  • * Commercial Settings

* Industrial Settings

* Residential Settings


To achieve this scale, Fizzion utilizes four distinct collection methodologies:


1) Robotless (Egocentric Data Collection): Utilizing a massive workforce of 600,000 active people worldwide, with 250,000 active in the USA alone.

2) Teleoperations: This involves managing, monitoring, and operating industry-leading robots.

3) In-House Management: Fizzion manages and operates client hardware directly.

4) Hardware Partnerships: Through a robust partner network, they access a large variety of different robots and can help clients source hardware.


Validated Quality and Performance


Fizzion emphasizes that validated data is proven to outperform raw data. To ensure superior performance, they implement strict quality control measures:


1) Multi-Modal Grounding: The data includes multi-modal grounding annotations.

2) Rigorous Calibration: They utilize rigorous sensor calibration and data validation protocols.

3) Expert Verification: Human-expert feedback is provided on all demonstrations to ensure accuracy.


Enterprise Security and Support


Recognizing the needs of enterprise clients, Fizzion offers "white glove" engineering and operations support. They maintain deep technical partnerships with labs and ensure full compliance with GDPR and CCPA regulations.

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