Company Overview
botanu maps every AI workflow to its full cost: LLM calls, compute, embeddings, and data pipelines. Then it ties that cost back to the customer and outcome that triggered it. One dashboard instead of five vendor invoices.
What botanu Measures
- Cost per outcome by workflow — see which features create ROI and which ones do not
- Full infrastructure cost correlation — LLM + cloud + data attributed to each workflow
- Per-customer margin — Stripe revenue vs. AI cost, per customer
- Daily cost anomaly alerts — fix cost overruns before the invoice lands
How It Works
- Instrument — Add botanu's OpenTelemetry-based SDK to your AI workflows
- Connect billing sources — Use botanu's containerized Docker collector to ingest cost data from cloud providers, LLM vendors, and product data sources
- See cost per outcome, per customer — Set thresholds, compare against revenue, and track margin in real time
Core Capabilities
- Cost Aggregation
- Correlate costs across LLM APIs, cloud compute, storage, and data pipelines into a single workflow-level view.
- Margin Analysis
- Compare AI workflow cost against customer revenue (via Stripe) to calculate per-customer and per-workflow margin.
- Cost Alerts
- Daily alerts for cost overruns. Set thresholds per workflow and get notified before budgets are exceeded.
- Security and Compliance
- Built following SOC 2 Type I standards. Role-based access control. Data processed locally with only aggregated metrics transmitted.
Who It's For
Product Managers and PMs
Tie AI features to KPIs and unit economics. Understand which product workflows drive margin and which ones drain budget.
Eng Leads and Platform Teams
Control AI infrastructure spend with business context. See cost per workflow, not just cost per service.
CTOs and CIOs
Board-ready view of AI cost and ROI by workflow. Make investment decisions backed by outcome-level data.
Integrations
Cloud Providers
AWS, Azure, GCP
LLM Providers
OpenAI, Anthropic, Google Gemini, Azure OpenAI, Hugging Face
Data and Observability
Snowflake, Databricks, BigQuery, Datadog, New Relic
Business Tools
Salesforce, Zendesk, ServiceNow, Jira, HubSpot
How botanu Compares
Use Helicone, Langfuse, or Datadog for tracing and monitoring. Use botanu for unit economics. They are complementary.
Traditional observability tools track spans, traces, and infrastructure metrics. botanu calculates the total cost of each outcome across every service involved, not just LLM spans, and connects it to customer revenue.
Security
- Built following SOC 2 Type I standards
- Role-based access control
- Data processed locally; only aggregated cost metrics leave your environment
- Prompts, responses, customer data, and proprietary information stay in your systems
- Built on OpenTelemetry: no proprietary agents, no lock-in
Pricing
Starts small for startups and scales for enterprises. Includes full cost attribution, margin analysis, and alerting.
Book a demo for custom pricing.
Frequently Asked Questions
What is botanu?
botanu is a cost attribution engine that maps AI workflow costs (LLM, compute, embeddings, pipelines) to specific customers and outcomes, giving teams visibility into unit economics.
How is botanu different from observability tools?
Observability tools like Datadog and Langfuse log spans and traces. botanu calculates total cost per outcome across every service involved and connects it to revenue data from Stripe.
What data leaves my environment?
Only aggregated cost metrics. Prompts, responses, customer data, and proprietary information never leave your systems.
Is botanu SOC 2 compliant?
Yes. Built following SOC 2 Type I standards with role-based access control.
Contact
Visit botanu.ai to book a demo or join the waitlist.