
Skild.ai
Develop truly intelligent embodied system to revolutionize physical work
AI for EducationDeveloper ToolsAutomation
Skild.ai Overview
Skild.ai aims to build general purpose artificial intelligence grounded in the physical world - Supported by valued funding partners, offering early access waitlist for interested parties
Foundation Year
2023
Parent Company
Skild.ai
Founders
Abhinav Gupta Deepak Pathak
Application of Skild.ai
- Develop truly intelligent embodied system to revolutionize physical work
- Invent cutting-edge machine learning algorithms for robustness in any environment
- Scalable robotics foundation model (Skild Brain) adapts across hardware and tasks
- Mobile manipulator platform for developing high-level AI algorithms and apps
Who Can Use It?
- Software Developers
- Robotics Developers
- AI Researchers
- Manufacturing Professionals
- Operations Managers
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Skild.ai Price Structure
Free Trial Available
N / A
Yearly Pricing Level 1
N / A
Pricing Level 2
N / A
Pricing Level 3
N / A
Other Details
API Access Available
N / A
Technical Requirements
- The website requires a stable internet connection for accessing all features.
- Compatibility with modern web browsers such as Chrome, Firefox, Safari, and Edge is necessary.
- The AI tool may require additional computational resources for running complex algorithms.
- The website is compatible with various platforms including Windows, macOS, and Linux.
- Special conditions such as specific hardware or software requirements may be needed for advanced features of the AI tool.
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Pros and Cons
Pros
- Revolutionize the future of physical work
- Unparalleled robustness across any environment
- Human-like adaptability in unstructured settings
- Scalable robotics foundation model
- Easy development of high-level AI algorithms and apps
- Full-stack robotic solutions for security and inspection tasks
- Grounded in the physical world
- Supported by amazing funding partners
Cons
- Lack of specific details on how the product will truly revolutionize physical work
- Unclear how the scalability of the machine learning algorithms will be achieved
- Potential challenges in adapting the Skild brain across different hardware and tasks
- Limited information on the security measures in place for the robotic solutions
- Lack of transparency on the specific limitations or challenges faced in developing the general purpose artificial intelligence
Disclaimer:
This data is based on open sources for informational purposes only. For complete accuracy, please visit the actual website to validate the information.
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