Inventive Secures $6.5M Seed Funding for AI-Driven SaaS Solutions

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Inventive, a San Francisco startup focusing on embedded AI for SaaS products, has successfully raised $6.5 million in seed funding. The round was led by Wing VC, with additional support from Tokyo Black and a group of angel investors, including former executives from Google and Meta.

This funding will be utilized to enhance Inventive’s platform designed for product teams. Founded in 2022 by Erik Kuld, Kavita Shah, and Clarence Tso, Inventive provides an embedded AI Analyst agent that integrates seamlessly into software products to handle ad-hoc customer requests for custom reports and analytics. This conversational AI system interacts with non-technical users in natural language, allowing them to explore, save, and operationalize custom insights from the host product’s customer-facing data.

Inventive’s AI Analyst, already in production, serves thousands of customers through their partners. The platform provides a comprehensive suite of tools to efficiently configure, test, evaluate, monitor, manage, customize, and monetize AI-native experiences.

For instance, the AI Analyst can handle requests like, “Notify me if my bookings for the next month are more than 10% behind compared to the same period last year.” This provides valuable data-driven insights to customers, allowing customer success and technical teams to concentrate on strategic initiatives rather than custom data requests.

“As an AI-native company, Inventive empowers us to lead innovation in the ecosystem and swiftly meet our AI product requirements,” stated Pavan Bedadala, Senior Director of Product Management at Commvault.

Chris Zeoli, Partner at Wing VC, commented, Inventive enables product teams to sidestep the high costs and challenges usually encountered when integrating AI into their products. The Inventive team is poised to redefine how AI is integrated into product experiences, and we’re excited to be part of their journey in shaping how businesses leverage AI to meet evolving customer needs.

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