Multiply secures $9.5M to rebuild B2B advertising
As traditional B2B advertising struggles to keep pace with the rise of generative AI and shifting privacy rules, San Francisco–based startup Multiply has raised a reported $9.5 million to overhaul how enterprise marketers create and optimise campaigns in the ChatGPT era.
The funding, led by early-stage investors focused on AI-native SaaS, will fuel product development and go-to-market efforts aimed at brands frustrated with stagnant performance on legacy B2B ad platforms. The company positions itself as an operating system for demand generation teams, replacing disjointed tools and manual workflows with a single, intelligent layer.
Tackling “decaying” B2B ad performance
Many B2B marketers report rising customer acquisition costs, weaker conversion rates and growing difficulty in targeting decision-makers as cookies disappear and platforms tighten data access. Multiply argues that the underlying issue is structural: campaigns are still being planned, written and optimised with processes designed for a pre-AI, pre-privacy-reform web.
The startup’s platform uses AI algorithms to generate, test and iterate creative, landing pages and messaging across channels such as LinkedIn, search and programmatic display. Rather than relying on static quarterly planning, it promises continuous experimentation, feeding real-time performance signals back into models that adapt copy, offers and audience segments automatically.
Built for the ChatGPT and privacy-first era
Unlike generic content tools built on public large language models, Multiply is pitching an enterprise-grade stack: marketers can connect their own CRM, product and performance data to train secure, account-specific models. This is designed to respect tightening data protection and consent requirements while still enabling personalisation at scale.
Industry analysts say the opportunity is significant. B2B advertising is a multibillion-dollar market, yet many teams still rely on spreadsheets, manual reporting and fragmented analytics. If platforms like Multiply can prove that AI-driven orchestration reliably delivers more qualified pipeline with fewer wasted impressions, they are likely to become core infrastructure for growth-focused enterprises.
With fresh capital in hand, Multiply now faces the challenge of turning its vision into measurable uplift for demanding B2B marketers who have heard many promises about AI—but are still waiting for consistent, defensible results.

