Tamarin AI helps enterprise procurement teams transform fragmented spend data into actionable savings opportunities. The platform cleans and categorizes information from ERP and P2P systems, contracts, purchase orders, and invoices to create a reliable view of spend across business units, suppliers, and categories.
Founded in 2023 and based in Boston, Massachusetts, Tamarin AI uses AI-powered agents to help category managers identify opportunities, develop fact-based sourcing and negotiation strategies, and uncover potential supply risks. By combining trusted data with practical workflow support, the platform helps procurement teams analyze spend faster, expand strategic coverage, and pursue additional savings without replacing existing systems.
Tamarin AI helps enterprise procurement teams turn fragmented spend data into clear, actionable savings opportunities. Our platform cleans and categorizes data from disparate ERPs, P2P systems, contracts, purchase orders, and invoices, creating a reliable view of spend across BUs, suppliers, and categories.
AI-powered agents then help category managers identify opportunities, develop fact-based sourcing and negotiation strategies, and uncover potential supply risks.
By combining a trusted data foundation with practical workflow support, Tamarin AI enables procurement teams to analyze spend faster, expand their strategic coverage, and deliver more savings without adding headcount or replacing existing systems.
Product Strengths
Purpose-built data layer: Our platform onboards data via a knowledge graph built specifically around how PO, invoice, payment, supplier, and contract data relate to one another, refined over hundreds of millions of transactions. Our data layer is built to be robust to both direct and indirect spend, without being a generic tool retrofitted to the procurement function.
Accuracy & reliability: Our 12-step, human-in-the-loop onboarding process cleans and classifies spend to a degree of accuracy that lets agents – ours or a third party's – act on results with confidence, across both direct and indirect spend.
Transparency & control: Every cleaning and classification decision is a glass box: assessed for confidence at the line-item level, explainable, and changeable by a human with full auditability. That is what builds the trust customers need to actually adopt AI.
Actionable opportunity identification: Converts complex spend data into specific, prioritized savings and value-creation opportunities.
Fact-based decision-making: Helps category managers build fact-based sourcing, negotiation, and supplier strategies faster and more rigorously.
Ideal Customer
North America and Global based companies with an annual revenue range of <$100M
