Scale

Public Sector

Applying leading commercial AI technology to the public sector. 

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Supported Entities

Accelerating AI for Governments, Education Sector, and Non-Profits

Scale is able to apply its leading commercial technology to a wide range of public sector entities including:

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Governments

  • International, National, Federal

  • State, Provincial, or Territorial

  • Local, Municipal, County

Education

  • Universities

  • K-12

Non-Profits

  • NGOs

  • Non-profit organizations

Use Cases

Advanced, Mission-Ready AI for the Public Sector

Mission-focused public sector organizations need help to improve their support for the constituents who rely on them most. Artificial intelligence holds promise for helping them deliver ethical, accurate, efficient, and effective services.

Government

Public Safety

Computer vision applications for traffic management, detecting dangerous driving conditions, or identifying unsafe drivers.

Regulation

Large Language Models for regulatory and rule-making agencies to ingest and process public comments and draft responses to stakeholders.

Education

Custom Curriculums and Student Tutors

Large language models acting as the personal chat tutor to students, and assisting teachers in building curriculums, guides, quizzes, and tests.

Loss Prevention

Computer vision for loss prevention such as anti-theft of catalytic converters from bus fleets.

Non-Profits

Natural Disaster Response

Computer vision models that rapidly survey damage after a natural disaster, helping send aid to where it is needed most.

Copilots

Increase the efficiency of your workforce by equipping them with LLMs that can summarize and generate content.

Why Scale

Unlock Your New Superpowers With Scale AI

Scale is a pure-play AI company with deep expertise in computer vision machine learning and the natural language processing used in large language models.

Safe

Since its origin, Scale has supported "life and limb" AI use cases such as self-driving cars and government intelligence programs.

Responsible AI

Scale supports governments and the Fortune 500 with test and evaluation capabilities and high-quality training datasets to help meet ethical and responsible AI objectives.

Innovation

Scale continues to push the boundaries of what AI can deliver for the public sector. Our innovation becomes your application.

Trusted

Trusted by Federal Agencies and World-Class Companies

We partner with federal agencies to help them put AI to work to help them deliver on their missions. We developed the platform to evaluate leading Generative AI Systems at DEF CON 31 as Announced by the White House’s Office of Science and Technology Policy OSTP. We also partner with leading model builders like OpenAI to evaluate the safety of their models.

Automated systems should be developed with consultation from diverse communities, stakeholders, and domain experts to identify concerns, risks, and potential impacts of the system. Systems should undergo pre-deployment testing, risk identification and mitigation, and ongoing monitoring that demonstrate they are safe and effective based on their intended use, mitigation of unsafe outcomes including those beyond the intended use, and adherence to domain-specific standards.

Blueprint for an AI Bill of Rights

Office of Science and Technology Policy, White House

OpenAI threw a bunch of tasks at Scale AI with difficult characteristics, including tight latency requirements and significant ambiguity in correct answers. In response, Scale worked closely with us to adjust their QA systems to our needs.

Geoffrey Irving

Member of Technical Staff, OpenAI

RESOURCES

Learn More About Our Public Sector Capabilities

See it in action

Scale’s Mariupol Damage Identification Dataset

Scale’s Damage Identification as a Service was named one of Times best inventions of 2022 and features our work identifying damage to buildings in Mariupol Ukraine. Scale also developed an open dataset including annotations that supports structure and damage identification use cases. This highlights Scale’s ability to provide large-scale data and AI services to the public sector, and this use can case be applied to other use cases for the DoD and Government Agencies working on disaster response

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