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Botanu

Category: AI in Analytics & BI

Botanu is an AI ROI intelligence platform that helps enterprises measure and optimize the return on their AI agent investments. Botanu was founded in 2025. The company is led by Alina Vrsaljko. Based in New York, New York / San Francisco, California, United States. Team size: 1-10. Latest round: Pre-Seed.

Founded
2025
Headquarters
New York, New York / San Francisco, California, United States
Team size
1-10

Value proposition

Botanu connects every dollar of AI agent spend to the business outcomes it produced (deals closed, tickets resolved, revenue lifted), giving CFOs and executives a single board-ready view of which AI agents are delivering value and which are burning budget.

Products and solutions

Botanu AI ROI Platform: proprietary SDK using OpenTelemetry to track end-to-end AI workflows, measuring cost and output simultaneously, connects to existing enterprise systems (CRM, etc.) to tie AI activity to business outcomes, portfolio view of all agentic workflows with green/yellow/red status by business goal and team

Unique value

"The COO for your AI agents" — the only platform that connects both sides of the ROI equation: full cost across every model vendor AND actual business outcomes, rather than just tracking tokens/activity (which Botanu calls "token-maxxing" vs. its "outcome-maxxing" approach)

Target customer

Enterprise CIOs, CFOs, CTOs, and Heads of Engineering at large organizations with significant AI spend (especially insurance, financial services, and technology sectors)

Industries served

Insurance, Financial Services, Technology, Enterprise (all verticals with significant AI agent deployments)

Technology advantage

OpenTelemetry-native SDK for run-level cost attribution; reads telemetry across all model vendors, tools, and infrastructure layers; ties AI footprint to business outcomes in CRM/ERP systems; compares AI cost to human labor cost for the same job; read-only by design with SOC 2 alignment, Auth0 RBAC, tenant isolation

How they differentiate

Unlike LLM observability tools (Arize, WhyLabs, Helicone, LangSmith) that focus on technical metrics like tokens, latency, and model performance, Botanu focuses on business outcome measurement — connecting AI spend to actual revenue, cost savings, and productivity gains recorded in enterprise business systems (CRM, ERP). Botanu positions itself as a business/finance tool rather than an engineering observability tool.

Main competitors

Arize AI, WhyLabs, Helicone, LangSmith, Braintrust

Major milestones

June 2026: Emerged from stealth with platform launch and GlobeNewswire announcement, March 2026: Scout InsurTech interview revealing pre-seed fundraising, 2026: Selected for NYCEDC Founder Fellowship program, Late 2025: Discovery phase began with CIO interviews and advisory network building, January 2026: Founders moved full-time, MVP development started

Market positioning

Early-stage entrant in the emerging "AI ROI / AI value management" category. Differentiates from established LLM observability platforms by targeting CFOs and business leaders rather than ML engineers. Addresses a growing pain point as enterprise AI spending reaches $186M/year on average with only 8% seeing meaningful returns.

Geographic focus

United States (New York and San Francisco), with initial industry focus on insurance and financial services

About Alina Vrsaljko

Ex-McKinsey Manager (5+ years in Tech/AI strategy); Tech MBA from NYU Stern; Harvard Business School alum

Official website: