Ensuring AI Systems Are Safe, Ethical, and Compliant — In Every Language
As AI becomes more deeply integrated into global products and critical decision-making systems, AI safety is no longer optional — it is a fundamental requirement.
Models can unintentionally generate harmful, biased, misleading, or non-compliant content. This is especially risky in regulated environments such as healthcare, clinical trials, financial services, and legal domains.
Trailo AI helps companies identify, categorize, and eliminate safety risks in AI systems through structured, multilingual human evaluation and stress testing. We ensure your AI behaves ethically, responsibly, and safely, regardless of language, region, or context.
Why AI Safety Matters
Unsafe AI outputs pose real-world risks. Many AI safety frameworks focus only on English, but models often become more unsafe in other languages.
Legal & Regulatory
Violations of domain-specific laws.
Clinical/Medical
Misinformation or harmful advice.
Financial/Compliance
Failures in adhering to strict standards.
Discrimination
Biased decision-making and stereotypes.
Toxicity/Mental Health
Abusive content or harmful recommendations.
Reputational Risk
Loss of user trust and brand damage.
Trailo AI fills this critical gap with global, multilingual safety oversight.
Our AI Safety Evaluation Framework
Seven major risk categories, meticulously reviewed by trained human experts.
We classify content based on severity levels and cultural nuance, ensuring truly global coverage.
Harassment
- Targeted abuse
- Cyberbullying
- Threats
Hate Speech
- Slurs
- Derogatory language
- Group attacks
Explicit
- Profanity
- Graphic violence
- Sexual content
We classify content based on severity levels and cultural nuance, ensuring truly global coverage.
Harassment
- Targeted abuse
- Cyberbullying
- Threats
Hate Speech
- Slurs
- Derogatory language
- Group attacks
Explicit
- Profanity
- Graphic violence
- Sexual content
How We Conduct AI Safety Testing
Our framework combines structured evaluation, human judgment, and stress testing.
Guideline Development
Defining risk tolerance, prohibited categories, and domain sensitivities.
Stress Test Design
Generating adversarial prompts, edge cases, and 'trick' questions.
Human Evaluation
Specialized reviewers score outputs for severity, toxicity, and harm.
Multi-Level Validation
Senior QA specialists ensure accuracy, repeatability, and consistency.
Reports & Insights
Analysis of error categories, hallucination rates, and cultural risks.
Ongoing Monitoring
Continuous regression testing and release-specific evaluations.
Industries We Support
We evaluate model output against global compliance frameworks like HIPAA, GDPR, FDA, and FINRA.
Why Trailo AI for AI Safety Testing?
Protect your users and your brand with expert human oversight.
Multilingual Safety (100+ Languages)
Safety cannot be English-only. We cover global risk factors and cultural taboos.
Domain-Expert Reviewers
Medical reviewers, legal analysts, financial specialists, and cultural experts—not generalists.
Proven Frameworks
MQM/DQF-inspired safety matrices and proprietary risk scoring models.
Enterprise-Grade Security
GDPR, HIPAA, and ISO-aligned workflows to protect your proprietary models.
Scalable Workflows
Suitable for foundation models and enterprise-level AI systems.