Real-time psychological safety monitoring for conversational AI.
EmpathyC is the monitoring platform built by Keido Labs. It evaluates every AI conversation — per message — using clinical psychology frameworks. Not sentiment analysis. Not keyword matching. Clinical rubrics applied by an LLM that reasons about conversations the way a psychologist would.
The Difference
Most monitoring measures whether your AI sounds polite. EmpathyC measures whether your AI is psychologically safe.
| Typical AI Monitoring | EmpathyC |
|---|---|
| Sentiment: positive/negative | Psychological safety: could this harm someone? |
| Tone: polite/rude | Empathy: does the AI understand emotional cues? |
| Compliance: did it follow the script? | Boundaries: is the AI crossing psychological lines? |
| Post-conversation scoring | Per-message, real-time evaluation |
| NLP keyword rules | Clinical psychology rubrics via LLM-as-a-judge |
What EmpathyC Monitors
Every message in every conversation is evaluated against clinical rubrics:
Empathetic response quality
Does the AI acknowledge and respond to emotional cues? Or does it bulldoze through distress with scripted responses?
Crisis detection
Is the user showing signs of psychological distress? Would a trained professional escalate this conversation? Does the AI recognize the signals?
Boundary violations
Is the AI overstepping — playing therapist when it shouldn't, giving medical advice, creating dependency, or blurring the line between tool and relationship?
Harmful advice detection
Is the AI giving guidance that could cause psychological harm? Advice that sounds helpful but is clinically inappropriate?
Reliability and consistency
Does the AI maintain psychological coherence across a conversation? Or does it contradict itself, shift persona, or lose the thread of what the user is going through?
Overall psychological safety score
A composite assessment of conversation safety — tracked per conversation and as trends over time.
How It Works
Integrate Seamlessly
Drop in our API with minimal code
Act When It Matters
Immediate alerts with full context
Continuous protection. Zero friction. Full control.
What Makes This Different
Clinical psychology, not NLP
The rubrics come from real clinical frameworks — attachment theory, psychological safety models, crisis intervention protocols. Built by a clinical psychologist with 15 years of practice.
Per-message granularity
Not a conversation-level score after the fact. Every single message evaluated in context. You see the exact moment a conversation becomes unsafe.
LLM-as-a-judge
The evaluation model understands context, nuance, and psychological dynamics. It reasons about conversations — it doesn't count keywords.
Research-backed
EmpathyC is built by Keido Labs, an AI Psychology research lab. Every conversation monitored generates data that advances our understanding of AI psychological safety. The platform gets smarter because the science behind it gets deeper.
EmpathyC powers the AI Psychology Safety Audit and provides ongoing monitoring.
Full product details, technical documentation, and integration guide.