OEE Improvement AI
From Tracking to Improving
Stop tracking OEE in spreadsheets. Get real-time loss attribution, downtime prediction and shift-level coaching that actually moves the number.
Quick Answer
NeoBram delivers OEE improvement AI that automatically attributes losses, predicts upcoming downtime, and coaches shift teams in real time - typically lifting plant OEE 5-15 points within 6 months.
Why This Matters
Most Plants Measure OEE. Few Improve It Systematically.
OEE has been the gold-standard manufacturing KPI for 30 years. Yet most plants stall at 50-65% and can't explain why - because manual loss capture is incomplete and lag indicators don't drive action.
AI changes that. With MES, SCADA and historian data, AI auto-attributes every minute of loss, detects micro-stops humans miss, predicts the next downtime event, and pushes shift-level coaching with specific recommendations.
We deliver OEE improvement programmes - not dashboards. The AI is one part; the operational rhythm, gemba conversations and CI loop are the other parts we help embed.
Our Tech Stack
Production-Grade Tools We Deploy
Data sources
ML & analytics
Action & coaching
CI rhythm
Architecture Deep-Dive
How We Build It
Real-time OEE & loss attribution
Automatic OEE calculation per line, station and shift with every loss minute attributed to a category and likely root cause.
- Per-station OEE updated each cycle
- Six-big-losses auto-classification
- Micro-stop detection (<3 minute events)
- Drift detection vs baseline
Downtime prediction & prevention
Predicts the next likely downtime event by station, with lead time long enough to intervene.
- Per-station failure probability next 1-8 hours
- Pre-emptive maintenance hand-off to reliability
- Operator-level early-warning alerts
- Closed-loop learning from each event
Shift-level coaching
Generates pre-shift briefings and live recommendations: top losses, planned countermeasures, expected throughput, target gaps.
- Pre-shift briefing in 1 minute
- Live target-gap visibility for line leaders
- Auto-prepared shift handover notes
- Recommended actions ranked by impact
Continuous improvement engine
Daily and weekly top-loss reports auto-prepared, with Pareto, candidate kaizen actions and tracked outcomes.
- Auto-Pareto by loss category and station
- Recommended kaizen actions with prior-success matches
- Action tracker with closure verification
- OEE lift attributed to each closed action
Data Security, Governance & Safety
Enterprise AI demands enterprise-grade security. Every solution we deploy follows strict data sovereignty, safety, and compliance standards.
Data Sovereignty
- Your data stays in your infrastructure - always
- Deploy on your cloud (AWS, Azure, GCP) or on-premise
- No data leaves your environment
- Full compliance with regional data residency requirements
Model Safety & Guardrails
- NVIDIA NeMo Guardrails for content safety
- PII detection and redaction with Presidio
- Prompt injection defense and input sanitization
- Hallucination detection and factual grounding
Access Control & Audit
- Role-based access control for all AI systems
- Immutable audit logs for every interaction
- SOC 2 Type II, ISO 27001 compliance frameworks
- GDPR, HIPAA, and industry-specific regulations
Responsible AI
- Bias testing with Fairlearn and AI Fairness 360
- Model explainability via SHAP and LIME
- Transparency reports for stakeholders
- Continuous fairness monitoring in production
FAQ
Frequently Asked Questions
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