botanu – cost per outcome engine for AI builders

Summary: botanu calculates AI costs based on business outcomes rather than API calls, mapping models, agents, RAG, vector databases, and infrastructure to cost per resolution and margin by feature. It provides detailed vendor-to-feature and customer-level cost breakdowns, enabling precise financial insights across the AI stack.

What it does

botanu aggregates costs from models, multi-agent pipelines, RAG, vector DBs, and cloud infrastructure, then maps these expenses to business outcomes like cost per resolution and margin bands by feature. It offers visibility into vendor contributions, multi-agent costs, and customer-level economics.

Who it's for

AI teams and companies deploying outcome-based pricing models who need to understand the true cost per resolution across their full AI stack.

Why it matters

It solves the gap between API call cost metrics and actual business outcome costs, enabling accurate financial tracking and optimization of AI features beyond per-call billing.