Codag Analysis
What is Codag?
Codag builds infrastructure tooling that compresses raw logs into schema-valid incident capsules for AI agents. The system uses deterministic log templating, MCP-compatible delivery, and cited outputs tied to exact log lines. Codag positions the product for agentic debugging rather than human dashboard review, and it plans to extend beyond logs into metrics, traces, and configs.
Location
San Francisco, United States
Employees
1-10
Founded
2026
Industry
B2B, Infrastructure
YC Partner
Harshita Arora
Product Description
Codag specializes in a log data compression service that transforms large volumes of infrastructure log data into structured incident summaries for AI agents. The key features of their service include:
- Significant Compression: Codag's service reduces log tokens by 95%, allowing for efficient handling of extensive log data without losing critical debugging signals.
- Speed: The service can process up to 1.2 million log lines into approximately 3,300 tokens in under a second, enabling AI agents to focus on reasoning rather than sifting through raw logs.
- Structured Output: It provides schema-valid JSON outputs, retaining all relevant lines with clear citations for each incident, which is essential for accurate incident reporting and analysis.
- Accessibility: Codag offers its service for free, making it accessible for developers managing large-scale infrastructure and AI engineers utilizing log data for training.
These features collectively enhance the efficiency and effectiveness of log data management, making it easier for teams to analyze and respond to incidents.
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