HeliosAI Analytics

Real-time AI analytics platform processing 50M+ events per day for a Series B startup, with sub-3ms median query latency.

The Challenge

Analytics platforms have a brutal cold-start problem: the architecture needs to handle enterprise-scale data the moment a large customer onboards. HeliosAI needed sub-5ms queries on billion-row datasets and AI insights that were actually accurate.

Our Approach

We built an event streaming layer (Kafka) feeding a columnar store (ClickHouse) with an intelligent query-planning layer on top. Critically, the AI engine generates an internal query language rather than raw SQL — no prompt injection, no hallucinated tables, no runaway queries.

The Solution

Shipped in 18 weeks, the platform handles ingestion, real-time processing, on-demand queries, and natural-language insights. Time-to-insight dropped from 12 minutes to under 90 seconds.