Custom MLOps Platform for Production-Scale AI

Plexus is our custom MLOps lifecycle management platform, built as the core infrastructure for the AI/ML lab we created for Call Criteria. It manages the complete machine learning lifecycle for developing AI agents and ML models for classification at production scale.

Purpose-Built for RLHF at Scale

Plexus was designed specifically to support manual lab work in creating and refining AI agents and ML models. At its core, it implements a full RLHF (Reinforcement Learning from Human Feedback) data flywheel that operates continuously at production scale, constantly aligning more closely with human feedback through continuous online learning.

MLOps Lifecycle Management

Plexus handles every stage of the machine learning lifecycle:

• Model Development: Support for creating and experimenting with AI agents and classification models
• Training Pipeline: Automated training workflows that incorporate human feedback
• Evaluation Framework: Rigorous testing and validation with sophisticated analysis tools
• Deployment Management: Safe, controlled rollout of model updates to production
• Performance Monitoring: Real-time tracking of model accuracy and drift detection
• Continuous Learning: Automated retraining based on human expert feedback

The RLHF Data Flywheel

The platform's most powerful feature is its implementation of a self-reinforcing data flywheel:

1. AI agents classify content in production
2. Human experts review and provide feedback on AI decisions
3. Feedback is captured and fed back into the training pipeline
4. Models continuously retrain and improve based on this feedback
5. The system gets smarter over time, aligning ever more closely with human judgment

This isn't a one-time training process—it's continuous online learning that creates a sustainable competitive advantage.

Enterprise-Grade Infrastructure

• Multi-Model Support: Use any AI/ML model from leading providers or deploy custom models
• Human-in-the-Loop: Seamlessly integrate expert human validation and feedback
• Enterprise Security: SOC 2 Type II certified with end-to-end encryption
• Serverless Architecture: Built on AWS Well-Architected principles for reliability and scalability
• Production Scale: Proven to handle high-volume classification workloads

Real-World Impact

Plexus powers the AI/ML lab at Call Criteria, managing hundreds of classification models and AI agents that process millions of interactions. The platform's continuous learning capabilities have enabled unprecedented improvements in model accuracy and alignment with business requirements over time.

Learn more about how Plexus enables production-scale AI with continuous improvement at plexus.anth.us.