BrainforgeClickHouse

Use case

Machine learning and GenAI on ClickHouse

We build the data layer under your models and agents, from training and feature data to vector search, plus the analytics that tell you whether the AI is working.

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What we build

Data your models can use

Training and feature tables in ClickHouse, fast enough that your team can iterate every day.

Retrieval next to analytics

Vector search and SQL in the same store, so retrieval and reporting share one source of truth.

Proof the AI works

Evals, traces, and business metrics side by side, so every model change ties back to a result.

This is for you if

  • Your ML pipelines wait minutes or hours on data prep.
  • You are building AI features and need retrieval, logging, and analytics in one place.
  • You can't yet show whether your AI features move a business metric.

Proven in production

85K–200Kagent traces a month, projectedABC Home & CommercialLangfuse on a customer-service agent, our first joint opportunity with ClickHouse.
1.5Mchats a day on ClickHouseKavanaConsumer AI chat on open-source ClickHouse.
9 monthsin productionBrainforgeOur own agents, traced on Langfuse and ClickHouse.

From ClickHouse customers

Want ClickHouse’s own take? ClickHouse on machine learning and GenAI ↗

More ClickHouse use cases

Let’s scope your ClickHouse build

Book a call and we’ll map ClickHouse to your workloads and stack. Or see everything we do together on the ClickHouse partner page.

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AI Readiness Report
A clear breakdown of what Brainforge fixes, how fast, and what it actually delivers.
AI Readiness Report

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A clear breakdown of what Brainforge fixes, how fast, and what it actually delivers.

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