Scale AI

Ever wonder how leading AI models get their intelligence? It starts with meticulously prepared data.

Automated product research from public website content. No hands-on app test is recorded for this profile. Pricing source and check date are shown below where available.

Research fitSource-based assessment: Scale AI offers a powerful suite of tools for every stage of the AI development lifecycle, from data labeling to model deployment and evaluation.

Scale AI provides a comprehensive platform for data annotation, model evaluation, and AI infrastructure. It offers tools for managing datasets, generating embeddings, evaluating model predictions, and self-hosting LLMs, catering to various AI development needs from data curation to model deployment.

Key Features:
  • LLM Engine for self-hosting and managing large language models
  • Nucleus for data curation, model evaluation, and debugging
  • Rapid for human-powered data labeling across various data types
  • Natural Language and Visual Similarity Search for data exploration
  • Autotag for automated data tagging and classification
Pros
  • ML teams needing high-quality labeled data for model training
  • Developers looking to self-host and manage LLMs
  • Researchers and engineers requiring tools for model evaluation and debugging
Cons
  • Pricing for Nucleus can become complex with multiple consumption categories.
  • Self-hosting LLM Engine requires technical expertise for setup and maintenance.
  • Rapid's language pricing varies significantly based on fluency level and language.
Pricing
freemiumFree tier
Free tier:Nucleus: Designed for academia and individuals; Rapid: 200 free labeling units/month.
Plans
  • Nucleus Free Tier: For academia and individuals
  • Nucleus Team Tier: For small ML teams
  • Nucleus Pro Tier: For mid-sized ML teams
  • Nucleus Enterprise Tier: For large ML teams
  • Rapid Self-Labeling: 200 free units/month, then $0.05/unit
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Quick Decision
Try if: You are an ML team or developer needing robust tools for data annotation, model evaluation, or self-hosting LLMs, and require high-quality data infrastructure.
Skip if: You are looking for simple, pre-built AI solutions without the need for custom data management or model development.
Not for: Individuals seeking simple, off-the-shelf AI applications without data management needs; Users who require only basic data storage without AI-specific functionalities
Trust Signals
  • Team Size


    large
Tech Details
Platforms
webapi
Open Source
Yes
Support
Company
  • Name


    Scale AI

Scale AI is a data infrastructure company that provides high-quality data for AI applications, offering solutions for data annotation, model evaluation, and AI development.

FAQ

Is Scale AI's LLM Engine free to use?

Yes, LLM Engine is an open-source project, and self-hosting it will always be free. The free demo service was sunsetted on October 31st, 2024.

What are the pricing tiers for Nucleus?

Nucleus offers four pricing packages: Free Tier (for academia/individuals), Team Tier (for small ML teams), Pro Tier (for mid-sized ML teams), and Enterprise Tier (for large ML teams).

How does pricing for Rapid's self-labeling service work?

Rapid's self-labeling service provides 200 free labeling units per month. After exceeding this limit, each additional unit costs 5 cents. One annotation is one unit, and one attribute is 0.5 units.

Use Cases
  • ML teams needing high-quality labeled data for model training
  • Developers looking to self-host and manage LLMs
  • Researchers and engineers requiring tools for model evaluation and debugging
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