NeuralOps Dashboard
A real-time AI operations platform for monitoring LLM pipelines, tracking token usage, and managing vector database performance at scale.
Project Overview
NeuralOps is a monitoring and observability platform built for companies running LLM workloads in production. It provides real-time visibility into API costs, latency distributions, model performance, and vector database health — all from a single dashboard.
The Client Challenge
The client was running 50M+ LLM API calls per month across 12 models with no unified observability layer. They were flying blind on costs and had no way to detect prompt regression before it reached users.
Our Solution
We designed a streaming pipeline that captures every LLM call, evaluates output quality in near-real-time using a judge model, and surfaces anomalies on a unified React dashboard. All data is stored in Supabase with Pinecone for semantic similarity search across past responses.
The Business Results
Within 30 days of launch, the team identified 3 regressions before they reached production. Monthly AI costs dropped by 40% through intelligent caching of semantically similar queries. The dashboard processes 2M events per day with sub-200ms query latency.
Technology Stack
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