Observe, guard, evaluate, and autonomously govern AI agent fleets at scale. From first trace to full autonomous loops in under 2 minutes.
Every agent action flows through a complete governance lifecycle — from observation to autonomous correction.
Add 2 lines to any agent. Get tracing, cost tracking, and guard rails instantly. Supports LangChain, CrewAI, OpenAI, Anthropic.
Pre-built HSE template with CNESST, ISO 45001, OSHA compliance. Guard level N4 blocks dangerous assertions in real time.
Health Scores per agent fleet. Cost forecasting, drift prediction, anomaly detection. Full dashboard with autonomous loop control.
Docker Compose deployment. PostgreSQL + Redis + FastAPI. CI/CD with GitHub Actions. REST API with 12+ endpoints.
ML predictive analytics (pure stdlib). Linear regression + exponential smoothing. Calibration tracking with MAE/RMSE.
Dashboard with 5 views. Agent-level KPIs. Guard event timeline. Cost projections. Export-ready for board presentations.
Distributed tracing, token counting, cost calculation, latency metrics (p50/p95/p99). Automatic span parent-child tracking.
N1-N4 severity levels. PII detection, injection prevention, hallucination checks. HITL approval gates for high-risk decisions.
Faithfulness, relevancy, context precision. Golden set testing. Drift detection with warning/critical thresholds.
Structured sources with confidence scoring. Web collection. Scheduled polling. Domain-based registry.
Per-agent memory with namespace isolation. PROV-O provenance tracking. GDPR/CCPA erasure compliance.
Health Score 0-100. Drift prediction 48h ahead. Cost forecasting 7 days. Z-score + IQR anomaly detection. Zero external deps.
Drift auto-correct, guard auto-tune, latency auto-scale. 3 autonomy modes: monitor, semi-auto, full-auto.
Each loop follows a 4-phase cycle. In semi-auto mode, high-risk corrections require human approval.
Detects faithfulness drift below threshold. Triggers retraining pipeline. Updates baseline after validation.
Adjusts guard thresholds based on false positive rates. Reduces alert fatigue while maintaining safety.
Detects p95 latency above threshold. Applies model fallback or throttling. Tracks load patterns.
Run the simulator, then launch the dashboard to see SHIELD-OPS-X5 with 22 platforms and 500+ agents.
Start free locally. Scale to enterprise when ready.
7-page analysis of the governance gap in enterprise AI deployments. Why 73% of organizations lack agent oversight.
Download PDF →Technical deep-dive into autonomous feedback loops for AI agent fleets. Detect-correct-validate-learn cycle.
Download PDF →Lessons from production: how a single unguarded agent caused $50K in bad recommendations in 48 hours.
Step-by-step: deploy AEGIS-X5 with the HSE template for occupational safety agents in Quebec context.
How Preventera governs 512 AI agents across 22 specialized HSE platforms with AEGIS-X5.
AEGIS-X5 vs. LangSmith, Arize, Braintrust: feature matrix, latency overhead, and total cost of ownership.
Each platform is a specialized agent fleet for occupational health and safety.
122 agents · AI Safety & Governance
122 agents · Intelligence & Analysis
61 agents · Emergency Response
25 agents · Regulatory Intelligence
20 agents · Safety Training
18 agents · Computer Vision
18 agents · Risk Assessment
15 agents · Fire Safety
14 agents · Incident Management
12 agents · Worker Wellness
12 agents · Hazardous Materials
10 agents · Confined Space
10 agents · Compliance Audits
8 agents · Ergonomics
8 agents · Fall Protection
8 agents · Environmental
7 agents · LOTO Procedures
6 agents · Noise Monitoring
6 agents · Contractors
5 agents · Fleet Safety
5 agents · PPE Management
Your platform here
Reduced safety incidents by 34% after deploying AEGIS-X5 guard rails on all AI-assisted safety recommendations. Guard N4 blocked 127 dangerous assertions in the first month.
Achieved ISO 45001 compliance for AI-assisted safety documentation. Faithfulness score maintained above 97% with drift auto-correction.
CNESST compliance validator caught 43 non-conforming recommendations that would have bypassed manual review. Zero false negatives.
Cost forecasting predicted a 40% cost spike 5 days before it happened, allowing model fallback. Saved $12K/month in LLM costs.
AEGIS-X5 caught a hallucination that told a worker asbestos was safe to handle with just a paper mask. That single guard block justified the entire investment.
We went from zero visibility into our AI agents to a full governance dashboard in one afternoon. The DX is remarkable — pip install, two lines, done.
The drift predictor alerted us 36 hours before faithfulness dropped below threshold. The auto-correct loop fixed it before any user was affected.
We tried LangSmith and Arize. AEGIS-X5 is the only one that combines observability, guard rails, AND autonomous correction in one SDK.
The CNESST compliance validator is perfectly calibrated. It catches every regulatory gap without false positives. Our legal team loves it.
512 agents across 22 platforms, all governed from one dashboard. We finally have a single pane of glass for AI safety.
aegis init, status, dashboard, test — all commands documented.
Dashboard 5 vues, connectors (LangChain/CrewAI/OpenAI/Anthropic/Webhook/OTEL), SHIELD-OPS-X5 tenant, HSE template, Docker Compose, REST API 12+ endpoints, 748 tests
Developer experience: CLI, local SQLite, mini dashboard. ML predictive: Health Score, drift prediction, cost forecasting, anomaly detection
Core SDK: multi-tenant, tracing, guard N1-N4, observe, evaluate, collect, remember. Autonomous closed loops with HITL gates
See AEGIS-X5 governing 512 agents in real-time. Personalized demo for your use case.
contact@preventera.comResponse within 24 hours