Orchestrating Enterprise AI with GoApercu
An enterprise-grade AI orchestration platform that bridges the gap between raw LLM capabilities and reliable, governed business workflows. Designed to deliver precision-tuned AI responses with <50ms latency and 99.94% success rate across 45M+ requests.
01. THE_CHALLENGE
Enterprises struggle to adopt Generative AI because raw LLMs are unpredictable, lack domain context, and pose security risks. Existing solutions were either too rigid (chatbots) or too complex (custom engineering for every use case).
The goal was to build a unified orchestration layer that could:
- Route queries intelligently between different models (GPT-4, Claude, Llama).
- Enforce strict data governance and PII redaction in real-time.
- Provide a "Human-in-the-Loop" interface for domain experts to refine model outputs.
02. THE_SOLUTION
I architected GoApercu as a modular platform centered around "AI Agents" that can be configured for specific business tasks. The system uses a microservices architecture to handle high-throughput requests with minimal latency.
Multi-Model Orchestration
Dynamic routing between specialized models based on medical context:
- GPT-4 Medical Radiology (99.7%)
- Claude Health Primary Care (98.9%)
- Med-PaLM 2 Pathology (99.2%)
- Gemini Med Dermatology (98.5%)
Governance Engine
Middleware that intercepts all API traffic to redact sensitive PII before it leaves the secure enclave, ensuring compliance with GDPR and HIPAA.
Clinical Capabilities
Specialized modules for critical healthcare workflows:
- Symptom Analyzer & Risk Stratification
- Real-time Vital Signs Monitoring
- Critical Drug Interaction Checker
- Predictive Health Risk Analytics
Performance Metrics
Production stats from 45.2M+ processed requests: