Skild AI | AI Agent | Alternates | Alternates - AI Agent Discovery Platform

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Skild AI

Name: Skild AI
Price: Contact for Pricing USD
Author: Skild AI

Backed By Skild AI

Robotics “brain” enabling dexterous, adaptive robots across manufacturing tasks.

Productivity & Workflow Automation

Overview

Skild Brain is a general-purpose robotics foundation model that runs on diverse robots—from humanoids to mobile manipulators—enabling them to perform complex tasks like adaptive grasping, stair climbing, assembly, and navigation in cluttered or changing environments. It’s continuously improved with shared real-world feedback across deployed robots, making it ideal for scalable manufacturing automation.

Use Cases

Automated assembly tasks

Adaptive object manipulation

Inspection & packing

Multi-robot coordination in factories

Top Integrations

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Platform

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AI‑as‑a‑Service

Product Info

Deployment Method

API-basedSaaS

Model Type

Closed Source

Support

Pricing

Enterprise/Industrial Partnership

Contact Sales (High-Cost Custom Quote)

Full access to Skild Brain API

Alternates Research On The Product

Top Features

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Omni-bodied Foundation Model (Skild Brain)

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Cross-Hardware Generalization (works on humanoids, quadrupeds, etc.)

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Real-Time, Adaptive Learning

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API for Robotics Application Development (Mobile Manipulation Platform)

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Safe Human-Robot Interaction Protocols

Strengths

The visionary goal of achieving **omni-bodied, general-purpose intelligence** for robots.
The **massive scale of data** used for training the foundational model (1000x more than competitors).
The **pedigree of the founders** (CMU professors, former Meta AI, Tesla, Nvidia staff).
The **unprecedented investor backing** ($414M total funding, $4.5B valuation).

Weaknesses

Low, data security appears robust with private cloud infrastructure.
Moderate. While impressive, the long-term scalability and reliability of AGI in the physical world are inherently complex and still being proven at mass scale.
Low, due to the high-touch, partnership-based model.
High risk of extremely high cost and unclear ROI path for early adopters.
The primary red flag is the lack of commercial availability details and non-public pricing, standard for a unicorn in this disruptive, early-commercial stage.

Reviews From The Web

Real user experiences from across different platforms

The large-scale model we are building demonstrates unparalleled generalization and emergent capabilities across robots and tasks, providing significant potential for automation within real-world environments. We are building AI that will interact with and affect change in the real world.

Deepak Pathak (CEO)

July 2024

Company Blog/Press

Recommendations

Major enterprises and industrial players who need a scalable, general-purpose AI solution to deploy robots across diverse, complex environments

a scalable, general-purpose AI solution to deploy robots across diverse, complex environments.

Organizations with a high volume of dangerous or repetitive physical tasks needing automation

epetitive physical tasks needing automation.

Small businesses or non-industrial applications

Small businesses or non-industrial applications.

Companies looking for simple task automation (RPA) or digital AI agents

or digital AI agents.

Final Verdict

Breaks the data and hardware barrier in robotics by providing a single, general-purpose AI brain that is transferable across different robot bodies. This accelerates the deployment of capable, low-cost robots to address critical labor shortages in construction, manufacturing, and healthcare.

Best For

•Major enterprises and industrial players who need a scalable, general-purpose AI solution to deploy robots across diverse, complex environments.
•Organizations with a high volume of dangerous or repetitive physical tasks needing automation.
•Robotics hardware manufacturers looking for a ready-made, cutting-edge 'brain'.

Watch Out For

•If you are not in the business of physical robotics or large-scale industrial automation.
•If you are unwilling to commit to custom, multi-million dollar contracts and deep R&D partnership.
•Low, data security appears robust with private cloud infrastructure.
•Moderate. While impressive, the long-term scalability and reliability of AGI in the physical world are inherently complex and still being proven at mass scale.

Technology is bleeding-edge and likely in early commercial deployment, not mass-market ready. Requires extremely high computing power (GPU One, HPE Cray) for training and inferencing. High initial cost is anticipated due to massive R&D and specialized hardware requirements. Full long-term capabilities and reliability in diverse real-world settings are still being validated.

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