Train world-class LLMs with high-quality red-teaming data to improve model reliability and safety

Accelerate robust red teaming with fully managed sourcing, expert vetting, and end-to-end data operations all handled by micro1.

Strengthen your LLM’s defense with real-world adversarial data

High quality read teaming

Jailbreak Attempts (Text + Code)

Annotated adversarial prompts designed to bypass safety filters, including ethical manipulation, roleplay exploits, and long-chain reasoning traps.

Domain Expert Provocations

Highly technical adversarial prompts crafted by experts in nuclear science, hardcore physics, bioengineering, and cybersecurity to push the model’s limits in fact fidelity, misuse potential, and safety boundaries in frontier knowledge areas.

Visual Stress Tests (Images)

Image-caption mismatches, visual prompt reversals, and subtle content violations to test model interpretation and bias boundaries.

Audio and Voice Prompts

Adversarial audio inputs (e.g., multilingual slurs, subtle prompts, emotion masking) to test transcription, response bias, or speech synthesis safety.

How it works

We use our AI recruiter to source and vet experienced red‑teaming experts.

1

We use our AI recruiter to source and vet experienced red‑teaming experts.

You define your thread areas and we develop targeted adversarial scenarios

2

You define your thread areas and we develop targeted adversarial scenarios

3

Experts craft probing prompts and create rubrics for evaluating harmful, evasive, or misleading responses.

Evaluate red team task output, cohort performance, and scenario coverage in real-time through our structured performance dashboard.

4

Evaluate red team task output, cohort performance, and scenario coverage in real-time through our structured performance dashboard.

Use Cases

Evaluate and align your LLMs using adversarial prompts and expert-reviewed safety rubrics across high-risk and sensitive domains.

Robustness Benchmarking

Robustness Benchmarking

Stress-test your models across adversarial prompts to uncover weaknesses and improve reliability.

Safety Fine-Tuning

Use red team data to align models with safety guidelines and reduce toxic or harmful outputs.

Policy & Compliance Audits

Ensure your model meets internal and external standards for ethical deployment and regulatory alignment.

Our experts

M.G.

AI/ML Chemistry & Drug Discovery Model

Exp: 15+ years

United States

Rwanda

Vetted skills:

Advanced Chemical Synthesis

Spectroscopic Analysis

+1

S.Q.

Nuclear Safety Studies Project Coordinator

Exp: 4+ years

France

Kenya

Vetted skills:

Pedagogical Expertise

Content Evaluation & Feedback

Instructional Design

+1

People Data Analyst at micro1

B.B.

Senior Security Engineer

Exp: 7+ years

Australia

Nigeria

Vetted skills:

Threat Detection and Analysis

Network Security

Security Audits and Risk Assessments

+1

+ and more

Human brilliance is more important than ever