Scale AI
UnclaimedBuilding reliable AI systems for critical decisions and advanced agentic capabilities.
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TL;DR - Scale AI
- Develops reliable AI systems for critical decisions.
- Offers agentic solutions for enterprise clients.
- Specializes in accelerating agentic warfare capabilities.
Pricing: Paid only
Best for: Enterprises & pros
Score: 72/100
Pros & Cons
Pros
- Data labeling platform
- Enterprise ready
- Good quality
- Active development
- Industry leader
Cons
- Very expensive
- Enterprise focus
- Complex pricing
- Learning curve
- Long contracts
Key Features
Data labelingAI training dataModel evaluationReinforcement learningEnterprise platformQuality assurance
Pricing Plans
Enterprise
Custom
- Enterprise-grade quality and SLAs
- Scale Data Engine
- Scale GenAI Platform
- Dedicated customer operations support
- Custom AI applications
About Scale AI
By Toolradar Team·
Scale AI focuses on developing and deploying reliable AI systems, particularly for enterprise-level applications and critical decision-making. The company emphasizes its role in accelerating "agentic warfare capabilities," suggesting a specialization in AI that can act autonomously or semi-autonomously in complex, high-stakes environments.
Their solutions are geared towards organizations that require robust, trustworthy AI for their most important operations. This includes leveraging AI for advanced strategic applications and enhancing operational efficiency through intelligent automation and decision support systems. The product seems to cater to large enterprises and potentially government or defense sectors given the mention of "agentic warfare."
How we evaluate tools →Source: scale.com
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Scale AI FAQ
What is Scale AI?
Scale AI provides high-quality labeled training data through a managed workforce of annotators.
How much does Scale AI cost?
Pricing varies by project complexity and volume. Enterprise contracts typically start at $50K+.
Scale AI vs Labelbox?
Scale AI provides managed labeling services. Labelbox is a platform for your own annotators.
Source: scale.com