ZenLLM

The product is an AI cost optimization platform that identifies wasted LLM token spend from prompt bloat, context accumulation, model overuse, retry loops, and agent routing mistakes and ranks fixes by dollar impact with supporting request evidence. It sells to AI engineering teams and DevOps roles in B2B companies running LLM applications in production, best fit for organizations spending $5k-$500k per month on AI. Compared to provider billing dashboards that show aggregate totals, it sits at the application layer to attribute cost to workflows, request paths, and owners.

Key features

• Cost attribution by workflow and model
• Context accumulation detection
• Prompt waste detection
• Retry churn detection
• Model overuse detection
• Agent routing mistake detection
• Budget and anomaly monitoring
• Showback and chargeback support
• Request path tracing
• Sample workspace evaluation