Traeco offers a prescriptive cost‑optimization platform for AI agents, automatically analyzing trace data to pinpoint expensive operations and recommending exact dollar savings. The service integrates with just two lines of code and works with major providers such as OpenAI, Anthropic, Google AI, Cohere, LangChain, and CrewAI, eliminating the need for code changes. By linking observability data with provider billing, Traeco helps teams avoid hidden token taxes and reduce overruns that often halt AI projects.
Funding
Funding not disclosed
Founders
Product
Problem
Observability tools for AI agents show execution traces and provider dashboards display total spend, but there is no connection that tells teams how to reduce costs. Hidden token taxes can cause a single agent run to cost 3–10× more than expected, leading many projects to be scaled back or abandoned due to cost overruns.
Solution
Traeco adds a prescriptive cost‑optimization layer on top of existing AI agent stacks. By ingesting trace data from agents, the platform identifies specific operations that inflate token usage and quantifies the dollar savings achievable by adjusting them. Integration requires only two lines of code and works with major providers such as OpenAI, Anthropic, Google AI, Cohere, as well as orchestration frameworks like LangChain and CrewAI, eliminating the need for code changes. The service visualizes spend, recommends concrete optimizations, and monitors the impact of applied changes, delivering dollar‑level savings and reducing the hidden token tax that drives excessive costs.
Target Audience
Primary customers are engineering and product teams that deploy AI agents at scale, particularly those responsible for managing LLM costs in enterprises and SaaS platforms.
Features
- Automatic ingestion of agent trace data from supported LLM providers and orchestration frameworks
- Cost‑impact analysis that maps trace events to precise dollar savings recommendations
- Two‑line SDK integration with no code modifications required
- Interactive dashboard that visualizes spend distribution and highlights high‑cost sub‑calls
- Continuous monitoring to track savings after optimizations are applied
- Compatibility with OpenAI, Anthropic, Google AI, Cohere, LangChain, and CrewAI