Resources that ship production-ready AI

Automated loan processing workflows using multi-agent orchestration, reducing processing time from 5 days to 6 hours while maintaining 99.8% accuracy.

Implementation of multi-agent AI systems for clinical decision support, patient care coordination, and administrative workflow optimization.

Deployment of multi-agent AI systems for real-time quality control, predictive maintenance, and supply chain optimization.

Implemented support automation to deflect repetitive inquiries and speed up resolutions across chat and email.

Python SDK for building, deploying, and managing multi-agent AI systems with enterprise-grade reliability.

Framework for implementing AI safety constraints, behavioral boundaries, and compliance controls.

Toolkit for optimizing AI models for production deployment with quantization, pruning, and hardware acceleration.

Messaging framework for inter-agent communication with support for real-time coordination, message queuing, and distributed consensus.