Turnstile has launched native support for AI agents in its Quote-to-Cash platform through a read-and-write Model Context Protocol (MCP). The San Francisco-based company's system allows both humans and AI agents to access unified commercial data for pricing, contracts, billing, and customer information. The platform addresses challenges businesses face with evolving pricing models, including usage-based and outcome-based pricing. Traditional Quote-to-Cash systems struggle with fragmented data across disconnected applications, requiring manual reconciliation. Turnstile's MCP enables AI agents to analyse information, provide recommendations, and automate workflows using the same trusted data foundation that human teams use. The platform integrates four applications: Quoting, Account Management, Billing, and Reporting, all built on a unified System of Record. The company aims to eliminate the fragmentation that forces businesses to rebuild systems when pricing models change, positioning Quote-to-Cash as a growth catalyst rather than merely a back-office process.

Turnstile raises $29M in funding. Turnstile, a San Francisco, CA-based provider of a quote-to-cash platform for sales-led startups, raised $29M in funding. Backers included First Round, OMERS Ventures, Illuminate Financial, and angel investors. The company intends to use the funds to accelerate its product roadmap and go-to-market expansion. Led by CEO Jordan Zamir, Turnstile automates quote-to-cash for sales-led companies creating a structured system of record for commercial terms. It manages the full revenue lifecycle in one integrated quote-to-cash platform with four core modules: * Quoting: Drag-and-drop quote building that combines the ease of a Google Doc with structured data, so flexible deals still automate downstream. Teams can quote from standardized plans or create fully custom quotes, with all deals living in the same system. * Subscription Management: Real-time visibility into subscriptions, amendments, and renewals, so every change stays in sync for invoicing and reporting. * Billing: Automatically generates accurate invoices from accepted quotes and changes, supporting flexible schedules and usage-based billing without manual work. * Financial Reporting: Centralizes subscription and billing data to automate revenue recognition and deliver real-time metrics like ARR, bookings, and AR aging with drill-down visibility. Early customers include Crafting, Reform, Brellium, Trayd, and atronous.ai.