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What is Lucky Robots?

Lucky Robots stands out as a groundbreaking platform focused on robotics simulation that allows teams to train, evaluate, and refine AI models for robots in carefully designed virtual environments that accurately mimic the complexities of real-world physics, sensors, and interactions. This platform promotes the creation of extensive synthetic training data and enables rapid iterations without the necessity for physical robots or costly laboratory setups. Utilizing advanced simulation technology, it generates hyper-realistic scenarios, including kitchens and diverse terrains, which facilitate the examination of various edge cases and the production of millions of labeled episodes, thus supporting scalable learning for models. This method accelerates development significantly, reduces expenses, and lessens safety hazards. Furthermore, the platform supports natural language control within its simulated settings and offers users the option to upload their own robot models or choose from a selection of existing commercial alternatives, while also integrating collaborative features via LuckyHub for sharing environments and training processes. Consequently, developers are empowered to fine-tune their models more efficiently for practical applications, which ultimately boosts the performance and dependability of their robotic innovations. With its user-friendly interface and comprehensive tools, Lucky Robots ensures that teams can maximize their productivity while pushing the boundaries of robotics technology.

What is Bifrost?

Effortlessly generate a wide range of realistic synthetic data and intricate 3D environments to enhance your models' performance. Bifrost's platform provides the fastest means of producing the high-quality synthetic images that are crucial for improving machine learning outcomes and overcoming the shortcomings of real-world data. By eliminating the costly and time-consuming tasks of data collection and annotation, you can prototype and test up to 30 times more efficiently. This capability allows you to create datasets that include rare scenarios that might be insufficiently represented in real-world samples, resulting in more balanced datasets overall. The conventional method of manual annotation is not only susceptible to inaccuracies but also demands extensive resources. With Bifrost, you can quickly and effortlessly generate data that is pre-labeled and finely tuned at the pixel level. Furthermore, real-world data often contains biases due to the contexts in which it was gathered, and Bifrost empowers you to produce data that effectively mitigates these biases. Ultimately, this groundbreaking approach simplifies the data generation process while maintaining high standards of quality and relevance, ensuring that your models are trained on the most effective datasets available. By leveraging this innovative technology, you can stay ahead in a competitive landscape and drive better results for your applications.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Lucky Robots

Company Location

United States

Company Website

luckyrobots.com

Company Facts

Organization Name

Bifrost AI

Date Founded

2019

Company Location

United States

Company Website

www.bifrost.ai/

Categories and Features

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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