AI should be safe for the people who actually use it. We make sure it is.
RavenTrak evaluates how AI behaves with the people who depend on it most — patients, children, students, consumers, employees, anyone in a moment that matters. We find the gaps before they reach a real person.
Sensitive-Use AI Risk Snapshot
Before an AI system reaches the people who'll lean on it most, someone should ask the hard questions on their behalf. That's what we do.
Risk Scenario Testing
Behavioral responses in sensitive contexts tailored to vulnerable populations
What would this AI do when someone's safety depends on it?
Unsafe Response Review
Identification of harmful outputs, escalation failures, and behavioral risks
Every harmful response is a person who got the wrong answer at the wrong moment.
Escalation Gap Analysis
Workflow failures in crisis language, abuse reporting, and human handoff
When AI can't call for help, people are left alone in the dark.
Behavioral Safety Findings
Documented safety issues with context, severity, and real-world impact
We show you what we found and why it matters to the people who'll use it.
Transparency & User Risk
Assessment of how users are informed about AI limits and risks
People deserve to know what they're talking to and what it can't do.
Risk Report & Recommendations
Actionable findings with remediation guidance and prioritized fixes
We tell you what to fix first and why it matters most.
Sectors We Support
RavenTrak evaluates AI safety across sensitive-use industries where behavioral risk has real-world consequences.
Healthcare & Behavioral Health AI
- Patient-facing AI systems
- Clinical documentation workflows
- Crisis-language handling
- Escalation pathways
- Privacy-sensitive interactions
Child-Facing AI & Youth Platforms
- Education technology
- Youth apps and communities
- Grooming & sextortion risk
- Age-inappropriate outputs
- Child safety workflow gaps
Education Technology
- AI tutors and learning platforms
- School communication tools
- Student-facing chatbots
- Parent-facing systems
- Youth safety concerns
Trust & Safety & Platform Risk
- Moderation workflows
- Harmful content handling
- Abuse pathway gaps
- Unsafe AI moderation
- Vulnerable-user handling
AI Agents & Consumer Chatbots
- Customer support bots
- Wellness & companion AI
- Productivity agents
- Emotional dependency risk
- Manipulation & hallucination
Financial, Insurance & HR AI
- Consumer-facing financial tools
- Insurance & lending platforms
- HR screening & hiring
- Employee support systems
- High-impact decision support
Workplace & HR AI
- Hiring & screening tools
- Employee support systems
- Performance workflows
- Internal copilots
- Workplace decision support
Public Sector & Safety-Critical AI
- Emergency services AI
- Public information systems
- Civic platforms
- Safety communications
- Public-facing risk escalation
Healthcare AI & Behavioral Health Safety
RavenTrak supports AI safety evaluation and data review in sensitive healthcare environments, including behavioral health, clinical documentation workflows, patient communication, crisis-language handling, suicide-risk workflow support, and vulnerable-user interactions. RavenTrak can support HIPAA/BAA-governed engagements and uses synthetic, de-identified, or client-approved data handling processes depending on project scope.
Child-Facing AI & Youth Safety
RavenTrak evaluates child-facing AI systems and digital platforms for potential safety failures, including grooming and sextortion risk, abuse-related content handling, unsafe chatbot behavior, weak escalation pathways, age-inappropriate outputs, and trust and safety workflow gaps.
Professional Foundations
Microsoft for Startups
Member of the Microsoft for Startups program.
HIPAA Training
Completed HIPAA training through Johns Hopkins.
Workflow Experience
HIPAA/BAA-governed clinical data workflow experience.
Suicide Risk Assessment
Completed training on the Columbia-Suicide Severity Rating Scale (C-SSRS).
Security Training
OWASP security training completed.
Sensitive-Content & Safety Training
Training in behavioral and mental health, abuse and exploitation prevention, child-safety risk, and harmful-content identification.
About RavenTrak
RavenTrak was founded by Berenice Houston, an AI safety and data evaluation professional with experience reviewing sensitive content, child-safety and justice-related material, healthcare data workflows, and high-risk AI behavior. RavenTrak combines human-centered risk analysis with practical AI evaluation methods to help organizations identify safety gaps before they become real-world harm.
Test your AI before a person pays the price.
The companies that take behavioral safety seriously now are the ones their users will be safe with later. Let's talk about yours.