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.
Scope a ClickHouse buildRequest more infoOpening your email app. Didn’t open? Write to sales@brainforge.ai
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
Real-time analyticsDashboards and product analytics that stay fast as events pour in, built on ClickHouse.Open →Observability and AI tracingLogs, metrics, traces, and agent traces in one store, with ClickStack, Langfuse, and OpenTelemetry.Open →Warehouse migrationsMove costly or slow warehouse workloads from Snowflake, BigQuery, or Postgres onto ClickHouse, without a multi-year program.Open →
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.
Scope a ClickHouse buildRequest more infoOpening your email app. Didn’t open? Write to sales@brainforge.ai
