We optimize your agents. For free.
Apply for a hands-on design partnership. We analyze your traces, find inefficiencies, and deliver concrete fixes on system prompts, tools, architecture, and code.
Built production grade AI automations at Beam AI for clients like
A complete performance analysis of your agents. Grounded in real traces.
System analysis
We map your agents end to end: every tool call, every decision path, every scenario. Cost per execution, rejection rates, latency bottlenecks. From one day of production data.
Findings with evidence
Every finding comes with proof at the trace level. Not "something seems off" but "9.3% of executions over fetch data before skipping. $0.050 wasted per trace."
Actionable recommendations
Grouped by effort: prompt changes you can paste into Langfuse today, architectural changes to your decision flow, and fixes at the code level.
Ongoing optimization
After the initial report, we experiment together. Implement fixes, generate new traces, measure impact. Data driven, evidence based agent optimization as a team.
Free. We do the analysis. You review the report and decide what to implement.
We're building the agent optimization engine. You get a dedicated analysis from our founding team. We get real production data to build a better product.
Built by the team that ran production AI at enterprise scale.
We built an agent framework, countless production automations, and our evaluation and optimization systems from scratch. Before LangGraph. Before any observability tools existed.
We spent countless hours optimizing our AI agents and hit the wall ourselves.That's why we're building Mutagent. Every finding we deliver comes from operators who have done this work at scale, not from a generic framework.
Dorian, Bene, and Burak
Agent Performance Analysis
From application to optimized agents in 5 steps.
Tell us about your agents.
7 questions. Takes 2 minutes.
Best fit: teams running agents in production with an observability tool connected.
Prefer to chat first?
We built Mutagent because we spent 2.5 years at Beam AI watching the same problem repeat across 30+ enterprise customers. Agents plateau. Debugging takes longer than building. Production data piles up but nobody has time to analyze it.
If you're running agents in production, we want to help you make them better. That's it.
Dorian, Bene, and Burak
Built production grade AI automations at Beam AI for clients like