The AI Reliability
Operating System
SENTINEL-X gives every team in your organisation — engineering, QA, security, and compliance — a single source of truth for AI quality.
Core Platform Capabilities
Six integrated modules that work together to give you complete control over your AI system's quality and reliability.
Data Validation
Validate training data, embeddings, and pipeline inputs with schema checks, drift detection, and anomaly alerts — before bad data corrupts your model.
Prompt QA
Run regression tests on every prompt version. Define assertion rules, compare outputs, and gate deployments on quality scores.
RAG Validation
Score retrieval precision, context relevance, and answer faithfulness across your entire RAG pipeline with automated benchmarks.
Agent Testing
Step through every tool call and reasoning chain in your AI agents. Catch loops, incorrect decisions, and tool misuse before production.
Live Observability
Real-time dashboards for latency, token usage, quality drift, and error rates. Set custom alerts and SLA thresholds.
Security Guardrails
Block prompt injection, PII leakage, and policy violations in real time. Maintain a full audit trail for compliance.
How SENTINEL-X Fits Your Pipeline
From raw data to production monitoring — SENTINEL-X runs quality checks at every stage.
Every Feature You Need
LLM & Prompt Testing
Run hundreds of prompt regression tests in seconds. Catch regressions before they reach production.
Define golden datasets, set assertion rules, and automate prompt evaluation across every model version. Never ship a broken prompt again.
RAG Accuracy Check
Validate retrieval quality, context relevance, and answer faithfulness for your RAG pipelines.
SENTINEL-X scores every retrieval step — from chunk relevance to final answer grounding — so your RAG system always delivers accurate results.
Agent Orchestration Debugger
Trace every step of your AI agents. Debug tool calls, reasoning chains, and decision points visually.
Full chain-of-thought tracing with step-by-step replay, latency breakdown, and error root-cause analysis for complex multi-agent workflows.
Security & Guardrails
Block prompt injection, jailbreaks, and data leakage with enterprise-grade AI security controls.
Real-time content filtering, PII detection, and policy enforcement across every AI interaction — with audit logs for compliance.
Live Monitoring & Alerts
Monitor model drift, latency spikes, and quality degradation in real time with smart alerting.
Set SLA thresholds, receive instant alerts via Slack/PagerDuty, and automatically trigger rollbacks when quality drops below acceptable levels.
Analytics & Reporting
Executive dashboards, compliance reports, and granular model performance analytics — all in one place.
Export SOC2 audit trails, generate weekly quality summaries, and build custom dashboards for every stakeholder in your organisation.
Hallucination Detection
Automatically detect and flag factually incorrect or confabulated AI outputs before they reach users.
Ground truth comparison, citation verification, and confidence scoring to eliminate hallucinations from production AI systems.
Data & Pipeline Validation
Validate training data, embeddings, and pipeline inputs to prevent garbage-in garbage-out failures.
Schema validation, drift detection, data quality scoring, and anomaly alerts across every stage of your AI data pipeline.
A Dashboard Built for AI Teams
Real-time quality scores, test history, alert timelines, and compliance reports — all in one view.
Ready to see it in action?
Schedule a personalised demo with our AI quality engineers and see SENTINEL-X working with your actual AI stack.
Get a Live Demo