A clear breakdown of what Brainforge fixes, how fast, and what it actually delivers.
Ship AI you can trace, test, and improve
Brainforge pairs Langfuse with hands-on implementation for traces, evals, and monitoring, so LLM apps and agents stay reliable from first release through every prompt change.
Is this you?
- You have LLM features in production and cannot explain what they did on a bad run.
- You need evals and traces behind releases, not ad hoc spot checks in a dashboard.
- You want open-source observability with a path to self-host or cloud as requirements grow.
What we build with Langfuse
- Langfuse tracing for LLM calls, tool use, retrieval, and multi-step agent workflows.
- Eval harnesses and scorecards that catch regressions before users do.
- Production observability setups that connect traces to human review and release gates.
How we work together
We implement Langfuse for teams putting AI into production and need visibility from day one.
We partner on observability and eval design with ClickHouse and Langfuse field motions.
We operate the trace and eval loop as models, prompts, and agents evolve.
Resources
Learn
Guides for choosing your stack.
- GuideLangfuse AlternativesCompare Langfuse alternatives for LLM observability, tracing, evals, prompt management, agent monitoring, and production AI reliability.
- GuideLangSmith vs Braintrust vs LangfuseCompare LangSmith, Braintrust, and Langfuse for LLM observability, evals, tracing, prompt workflows, agent monitoring, and AI reliability.
- GuideLLM Observability ToolsCompare LLM observability tools for traces, evals, costs, latency, RAG quality, agent workflows, and production AI reliability.
- GuideLLM Evaluation ToolsCompare LLM evaluation tools for golden datasets, regression tests, prompt scoring, RAG quality, agent evals, and production AI reliability.
Let’s scope your Langfuse build
We instrument and evaluate LLM applications with Langfuse so teams can improve quality, cost, and reliability in production.
More partnerships
Explore the partner ecosystem
