Human-in-the-Loop AI Design

AutoEdge's unique approach combines the power of AI with human expertise, creating a continuous learning system that adapts to your specific operational needs.

AutoEdge's closed-loop approach gathers performance metrics from technicians and refines models until thresholds are met, ensuring alignment with production needs.

1
Continuous feedback from operators
2
Automated model refinement
3
Reduced manual experimentation
Human-in-the-Loop Design

How It Works

A continuous cycle of deployment, feedback, and refinement ensures optimal performance

1

Deploy Initial Model

AI models are deployed with baseline parameters based on historical data and domain expertise.

2

Operator Feedback

Technicians provide real-time feedback on model predictions and anomaly detections.

3

Automated Refinement

Models automatically adjust thresholds and parameters based on validated feedback.

4

Continuous Improvement

The cycle repeats, continuously improving accuracy and reducing false positives.

Proven Results

90%

90% Reduction in False Alarms

Continuous feedback loop dramatically reduces alert fatigue

3x

3x Faster Model Tuning

Automated refinement vs manual parameter adjustment

95%

95% Operator Satisfaction

Technicians trust AI that learns from their expertise

Seamless Integration with Your Workflow

For Operators

  • Simple thumbs up/down feedback interface
  • Mobile-friendly feedback collection
  • No disruption to existing workflows

For Engineers

  • Full visibility into model adjustments
  • Override controls when needed
  • Detailed performance analytics

Experience AI That Learns from Your Team

See how Human-in-the-Loop AI can transform your operations with continuous improvement.