Benchmarking
for Government

Get in touch

Artificial Analysis is the leading independent benchmarking company across AI agents, models, inference and hardware. We measure risk, safety, cybersecurity, capability, cost, and performance to help the public sector make decisions on AI.

How we support government

Artificial Analysis provides benchmarking, advisory, and data to help public sector clients design AI policy and select AI technologies.

Design AI policy and support decision-making

AI progress has critical policy and regulatory implications for governments, administrations and the public sector:

  • Which models are safe, and how can we secure critical systems and infrastructure?
  • What effect will AI knowledge work have on jobs and the economy?
  • How can governments balance national priorities including innovation, competition, national security, and data center construction?

As the leading independent benchmarking company, we bring deep expertise to inform these urgent questions.

Select AI technologies

AI capability and cost are both rapidly increasing. We support the public sector in understanding, measuring, and selecting AI technologies:

  • How to responsibly deploy the most capable models at the lowest cost?
  • How to empower workers with effective agents?
  • Which public sector use cases will AI solve in the next year?

Our benchmarking services, data, and expertise can support public sector clients to safely maximize AI performance at the lowest cost.

Publicly referenced by the leading AI labs, publications, and institutions

Amazon
ByteDance
Google
IBM
Meta
Microsoft
MiniMax
Salesforce
ServiceNow
Alibaba
All-In Podcast
Bank of England
Baseten
BCG
Bloomberg
Business Insider
Cartesia
Cerebras
Citi
Clarifai
CNBC
Databricks
Deutsche Bank
ElevenLabs
Federal Reserve
Financial Times
Amazon
ByteDance
Google
IBM
Meta
Microsoft
MiniMax
Salesforce
ServiceNow
Alibaba
All-In Podcast
Bank of England
Baseten
BCG
Bloomberg
Business Insider
Cartesia
Cerebras
Citi
Clarifai
CNBC
Databricks
Deutsche Bank
ElevenLabs
Federal Reserve
Financial Times
Fireworks AI
Groq
Inworld
JPMorgan
Kling AI
LG AI
McKinsey
Mistral AI
MIT CSAIL
Nebius
OECD
Perplexity
PixVerse
Qualcomm
Replicate
Reuters
SambaNova
Stanford HAI
TechCrunch
The Economist
The Guardian
VentureBeat
Washington Post
Wired
WSJ
Zapier
Fireworks AI
Groq
Inworld
JPMorgan
Kling AI
LG AI
McKinsey
Mistral AI
MIT CSAIL
Nebius
OECD
Perplexity
PixVerse
Qualcomm
Replicate
Reuters
SambaNova
Stanford HAI
TechCrunch
The Economist
The Guardian
VentureBeat
Washington Post
Wired
WSJ
Zapier

Our topic expertise

Catching harm vs. leaving safe content alone
Catching harm vs. leaving safe content alone: recall against specificity for each guardrail model
Benchmarking guardrail models for safety, refusal, and latency
Benchmarking guardrail models for safety, refusal, and latency
Artificial Analysis Cyber Index
Artificial Analysis Cyber Index scores for leading models

Cybersecurity and safety

We can support federal, state and local governments, as well as industry clients, to audit models across:

  • Cybersecurity – we use cybersecurity benchmarks to measure the defensive cybersecurity capability of models, including vulnerability identification, remediation, and incident response across white-box, gray-box and black-box target surfaces.
  • Safety – we evaluate models across a broad spectrum of harms (e.g. CBRNE, violence, privacy) and across escalating levels of adversarial pressure, from direct requests to sophisticated elicitation, to measure both capability and trustworthiness.

Case study

Artificial Analysis Cyber Index Alliance

The Artificial Analysis Cyber Index Alliance brings together industry partners to set a new standard for evaluating how AI models perform on enterprise cyber defense tasks. The Alliance launches alongside the Artificial Analysis Cyber Index, which combines three partner-contributed and open benchmarks to evaluate how well agents find and fix vulnerabilities.

NVIDIAIBMVercelCollinear AI
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Intelligence

Artificial Analysis Intelligence Index · Higher is better

Capability, cost and performance

Artificial Analysis defines the global standard in measuring capabilities, accuracy, hallucination, cost, speed and latency of models and agents. We are widely referenced in frontier model launches such as Claude Opus 5.5 and GPT-5.6.

For the public sector, we provide an independent view of what tasks models can complete, how much this costs, and how long it takes. This is critical to inform policy design questions (e.g. how AI will affect jobs) and inform technology selection (e.g. which model to choose for a use case).

Case study

Benchmarking partner for the government of South Korea

We were the benchmarking partner for South Korea's Sovereign AI Foundation Model project, led by the Ministry of Science and ICT (MSIT) and NIPA. We supported evaluation methodology design, running evaluations, and reporting results.

Cybersecurity

Artificial Analysis Cyber Index Alliance

The Artificial Analysis Cyber Index Alliance brings together industry partners to set a new standard for evaluating AI models on enterprise cyber defense.

The Alliance launches alongside the Artificial Analysis Cyber Index. The Index measures the defensive cyber capability of models: discovering vulnerabilities in a codebase, reproducing and validating them, and patching them without breaking existing functionality.

Cyber Index v1 combines three cybersecurity evaluations - CWE-Bench-AA, DeepsecBench-AA, and CyberGym-E2E-AA.

Read the article

The go-to reference

Get in touch

Artificial Analysis can support federal, state and local governments with benchmarking, advisory, and data to help design AI policy and select AI technologies.

Or email hello@artificialanalysis.ai