Responsible AI

We work to advance AI that is safe, ethical, multilingual, and universally accessible, empowering organizations to maximize impact and meaningfully serve humanity.

Missions That MatterAdvance AI that's safe, ethical, inclusive, and open to all
Strengthen AI safety through human insight and rigorous testing
Harness AI to serve people and strengthen communities
Build AI models that reflect diverse cultures and languages
Create more equitable AI access for mission-driven organizations
Advance AI that's safe, ethical, inclusive, and open to all
Strengthen AI safety through human insight and rigorous testing
Harness AI to serve people and strengthen communities
Build AI models that reflect diverse cultures and languages
Ensure equitable AI access for mission-driven and resource-constrained organizations

Our AI Services

We help organizations across sectors identify and manage AI risks, strengthen human and technical safeguards, and build culturally attuned, workforce‑ready AI solutions.

→ Responsible AI and Technical AI Safety

→ Novel and Multi-Lingual Training Data Curation

→ AI Workforce Readiness and Adoption

Leading
AI Labs

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Trust Your AI

Testing & Evaluation

Trust that you understand your model's behavior

Red-team systems to find failures
Benchmark models at scale (e.g, implementation in Inspect)
Quantify real-world impact through uplift
Enable repeatable evaluations

Guardrails + Safeguards

Trust that your safeguards work

Optimize training data and fine-tuning
Test safeguards in production
Filter hazardous data (do-not-train)
Monitor deployed systems

Ecosystem Risk Research Policy + Governance

Trust that you have clarity on all of the risks

Identify emerging AI threats
Emulate real threat actors
Deliver multilingual risk intelligence (380+ languages)
Illuminate misuse and autonomy risks
Design responsible AI governance
Set deployment thresholds and safety criteria
Translate risk into actionable playbooks

Model + Tool Provisioning

Trust that you have the right systems to advance your mission

Centralize testing across 200+ LLM
Orchestrate multimodal and agentic evaluations
Challenge systems through advanced digital twins

Multi-Lingual + Niche Data Curation

Trust that your data unlocks your model's full potential

Work in 380+ languages
Scale to languages with over half a billion speakers
Reach users of languages with as few as 10,000 speakers
Localization & Diverse Expertise
Design bespoke datasets to help your technology, marketing, or products land
Engage a network of academic experts in any domain to customize your training data

Human-Centered AI Fluency

Trust that your teams are ready to unleash AI

Set a standard for AI excellence and usage in your org
Unlock new tools to advance your mission
Leadership + decision readiness (e.g., red-teaming failure modes)
Lead teams through AI-driven change
Set guardrails for responsible use
Decide where AI adds value

Click for Details

We design responsible AI for humans, no matter...where you live
what language you speak
what threats we face, together
where you live
what language you speak
what threats we face, together

Responsible AI Case Studies

Thinking Like the Enemy

Quantifying AI and Biological Risk

The AI Safety Fund engaged Frontier to design and implement a novel safety benchmark examining how large language models could elevate biological risk. Drawing on scientists, former defense experts, and creative red-teamers, Frontier built a rigorous evaluation framework that tests real-world misuse scenarios and informs model safety decisions.
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Frontier's Secure Red-Teaming Playground

In 2024, Frontier built a secure execution platform to conduct large-scale AI red-teaming with speed and operational control. The system enables eligibility screening, blind testing across major models, secure workflows, and rapid deployment of hundreds of participants, strengthening safety evaluations without compromising confidentiality.
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AI Readiness at Scale

Designing Responsible Adoption Across A Distributed Workforce

When a U.S. federal agency rolled out an enterprise AI platform, it partnered with Frontier to ensure adoption was disciplined and mission-aligned. We designed a scalable enablement architecture that embedded responsible use, real-world practice, and measurable skill-building across a distributed workforce.
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Responsible AI News

Adversaries, By Design

Evaluating Catastrophic Bio-Weapons Risk in Large Language Models through Threat Ideation and Red Teaming

Olivia Shoemaker addresses DC gathering of scientists, policymakers and AI engineers to discuss threat ideation and adversarial red teaming and how best in class methods can be used to rigorously test large language models against catastrophic biological weapons risks.
Welcoming a new AI Engineering & Operations Leader to Team Frontier

Christopher Cook

Christopher Cook brings 14+ years of experience building and operating machine-learning systems in defense, government, and other regulated environments, with hands-on work across computer vision, time-series forecasting, and securely deployed language models in real operational settings. Link to his bio here
Measuring Biosecurity Risk Where It Actually Emerges

A New Benchmark Framework for Evaluating Biological Uplift in Frontier AI Models

This paper introduces a rigorous framework for generating biothreat benchmarks that measure not just information retrieval, but uplift—how frontier AI models may meaningfully increase biological risk across the full threat chain, from ideation to operational execution." Read the paper in full here
Sandpaper Socks: Operational Insights for AI Evaluation

How scientific and operational expertise together reveal real-world risks that technical tests overlook

Olivia Shoemaker highlights why scientific assessments alone miss real-world AI risks, showing how pairing scientific and operational expertise, like counterterrorism and creative thinkers, uncovers unexpected risks and improves evaluations of AI systems." Watch the video here
Frontier Expands One of the World’s Most Trusted AI Expert Networks

1,000+ interdisciplinary specialists supporting frontier AI safety, evaluation, and deployment
Frontier’s vetted subject matter expert network now exceeds 1,000 scientists, operators, and creative practitioners, spanning technical biology, biosecurity and CBRN, AI, cyber, autonomy, and trust and safety across 380+ languages. By pairing deep technical expertise with creative partners, Frontier delivers a full-stack approach, transforming expert insight into rigorous red teams, evaluations, and datasets ready for real-world AI deployment.
Preventing the Next Failure of Imagination

On Capitol Hill, Frontier Design CEO and Founder Alexa Courtney shares an industry-grounded perspective on AGI, informed by living through 9/11 and a career focused on preventing failures of imagination and coordination. She highlights the importance of frontier AI labs setting the bar for responsible development, and the value of partnership with government and researchers to support trust, readiness, and innovation.