GoApercu — AI-Powered Discovery Platform visualization
CASE_STUDY — AI ORCHESTRATION PLATFORM

GoApercu

Enterprise AI Orchestration Platform

GoApercu is an enterprise-grade AI orchestration platform delivering precision-tuned AI through intelligent model selection and dynamic routing. Engineered for sub-100ms response times with 99.9% uptime and intelligent failover across multiple AI providers.

01.

KEY_METRICS

<100ms
Response Time
p95 end-to-end
99.9%
Uptime SLA
with failover
25%
Retention Boost
LLM product improvement
40%
API Reliability
improvement vs. baseline
02.

PLATFORM_OVERVIEW

Intelligent Model Selection

GoApercu's routing engine evaluates each request against a real-time capability matrix — factoring in task type, latency budget, cost constraints, and provider health — to select the optimal model for every inference call.

Dynamic Failover

When a provider degrades or returns an error, GoApercu automatically re-routes mid-flight to the next best available model. Failover decisions are made in <5ms using a pre-computed fallback graph, maintaining the 99.9% uptime SLA.

LLM Product Integration

GoApercu powers LLM-based product features across the enterprise stack. Intelligent prompt management, context windowing, and response caching contributed to a 25% increase in user retention by delivering faster, more relevant AI responses.

API Reliability Framework

A custom API reliability layer wraps all provider calls with circuit breakers, retry logic, and timeout budgets. Combined with structured logging and alerting, this framework improved overall API reliability by 40% vs. the baseline direct-provider integration.

03.

TECH_STACK

FRONTEND

  • >React 19 + TypeScript
  • >Tailwind CSS
  • >Recharts (analytics)
  • >Wouter (routing)

BACKEND & AI

  • >Python FastAPI
  • >TensorFlow (custom models)
  • >LangChain (orchestration)
  • >Redis (caching)

INFRASTRUCTURE

  • >Google Cloud Platform
  • >Cloud Run (serverless)
  • >Docker + Kubernetes
  • >GCP Monitoring
04.

OUTCOMES

Response time (p95)<100ms end-to-end
Platform uptime99.9% SLA maintained
User retention↑ 25% via LLM features
API reliability↑ 40% vs. baseline
Failover decision time<5ms automatic re-route
Provider coverageMulti-provider unified