Twine

Twine operates as an AI-driven intelligence platform designed to bridge the gap between customer feedback and a company's strategic decisions. The service integrates with a client's existing systems to listen to and analyze every sales and customer service call, automatically extracting critical insights. This process captures feedback, competitor mentions, and deal blockers, translating unstructured conversation data into actionable intelligence. The platform then routes this information to the relevant product and go-to-market teams, ensuring that insights don't remain siloed within departments. For its clients, which are primarily modern product companies and high-growth businesses, this delivers a continuous stream of market evidence. Teams can identify the most pressing customer needs and feature requests, prioritized by their potential revenue impact, which helps align the product roadmap with market realities.

The company's business model centers on providing this operating system for product and go-to-market teams, helping them make faster, data-driven decisions. The core value proposition is the automation of market intelligence gathering, which previously required significant manual analysis. By delivering personalized feeds and thematic reports, Twine enables leadership to spot trends, sales teams to receive customer-specific enablement for new features, and customer success teams to ensure their feedback drives action. The Australian-based startup announced a US$1.5 million funding round in February 2025, led by Airtree Ventures, to accelerate its product development and expand its AI capabilities. The founders' vision, shaped by their experiences at companies like Twitter and Atlassian, was to solve the fragmentation of customer intelligence that occurs as businesses scale.

Keywords: customer intelligence, conversation analysis, AI-powered insights, go-to-market strategy, product management software, sales call analysis, customer feedback platform, revenue impact, market intelligence, product roadmap alignment, GTM teams, customer success insights, feature prioritization, competitive intelligence, data-driven decisions, cross-functional alignment, product feedback, AI for sales, customer conversation intelligence, automated insights