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Vexrail Architecture

Under the Hood: Vexrail Technology.

A privacy-first, scalable architecture powering real-time intent analytics and ad serving. Built for performance and trust.

1
SDK Data Ingestion

The Vexrail SDK collects prompt and response events from user apps in real time. Events are sent asynchronously, adding virtually zero latency.

2
Embedding & Clustering

In the cloud, each prompt is transformed into a vector and grouped via semantic similarity. Related questions form intent clusters.

3
PromptGraph™ Mapping

We overlay a knowledge graph linking keywords/entities to clusters. This bridges specific phrasing (e.g., "NYC flight") to general intent ("Travel").

4
IntentScore™ Prediction

Our AI models evaluate each cluster for monetization potential, estimating metrics like CTR to guide high-value opportunities.

5
Ad Match & Serving

Low-latency ad serving API fetches relevant content in under 50ms, ensuring the user experience remains seamless.

6
Continuous Learning

Interactions feed back into the system, improving IntentScore accuracy and guiding better placements in a virtuous cycle.

Built for Scale

Vexrail is built like an enterprise-grade system from day one. We combine streaming data pipelines, vector databases, and predictive AI models.

  • Cloud-Native

    Horizontally scalable architecture handling millions of events.

  • Best-in-Class Data Stack

    Leveraging Redis for caching and ClickHouse for analytics at scale.

  • Privacy First

    Data is anonymized and encrypted (TLS/at-rest). No raw user queries stored.

Redis
ClickHouse
Vector DB
Go / Rust

Engineered for Reliability

From day one, Vexrail is a platform built for reliability, security, and speed — so you can trust it as a foundation of your AI app or advertising strategy for years to come.