Quality Coherence Guardian
Catches hallucinations before your users do.
Like the mythical Sirens warning sailors of danger, SIREN sounds the alarm when AI output degrades. It scores every response for coherence, factuality, and relevance — catching hallucinations, repetitions, and incoherent answers before they reach your users.
LLM Response → User reads hallucination → Trust destroyed
LLM Response → Coherence score → Pass or regenerate
AI hallucinations that lead to business decisions create legal liability. SIREN provides documented evidence that quality controls were active — your due diligence shield.
Every response receives a coherence score (0-1.0). Dashboards show quality trends over time, alerting before degradation becomes visible to users.
Responses below threshold are automatically regenerated once. If the retry also fails, the response is flagged for human review — never silently passed through.
When an LLM provider degrades (model updates, capacity issues), SIREN catches it first. Your quality stays constant regardless of provider instability.
| Cost Category | Without SIREN | With SIREN | Impact |
|---|---|---|---|
| User retry rate | 5-15% of responses | <1% (auto-caught) | 90% reduction |
| Wasted compute (retries) | $3-8B/yr at scale | $300M (1 auto-retry) | 90% savings |
| Customer support from AI errors | $2-5K/incident | Incidents prevented | Liability avoided |
| Quality scoring latency | N/A | <5ms per response | Invisible overhead |
| At 1M req/month | $28,000/mo (incl. retries) | $23,500/mo | $4,500/mo saved |
SIREN scores every response automatically through api.destill.ai/v1.