Multiply raises $9.5M to build AI agents

"Every B2B marketing team knows the problem. A campaign launches, the creative is fresh, the targeting feels right, and then, slowly, it starts dying. Audiences tune out. Click rates fall. The agency comes back for a creative refresh and the cycle begins again. Matt Jayson calls this 'decaying ads,' and is, by his account, a structural failure of how digital advertising is built: campaigns that start losing effectiveness the moment they go live."

"Multiply's pitch is that modern B2B companies are already sitting on the data they need to run far better advertising, they just aren't using it. Sales call recordings, CRM pipelines, and closed-won deal data contain precise information about why customers actually buy. Multiply's system plugs directly into those sources and uses a suite of AI agents to translate them into continuously improving ad campaigns on Google Search and LinkedIn."

"Hundreds of structured experiments run in parallel each week, testing messaging, audiences, and creative, with winners scaled and losers cut automatically. The agent architecture breaks down the continuous optimization process into manageable components that work together to improve campaign performance without human intervention."

Multiply, a San Francisco startup, emerged from stealth with $9.5 million in funding to address the problem of ad effectiveness decay in B2B marketing. The company identifies a structural flaw in digital advertising: campaigns lose effectiveness immediately after launch because feedback loops between customer insights and ad messaging are too slow. Multiply's solution leverages existing customer data sources—sales call recordings, CRM pipelines, and closed-won deal information—to power AI agents that continuously optimize ad campaigns on Google Search and LinkedIn. The system runs hundreds of parallel experiments weekly, testing messaging, audiences, and creative variations, automatically scaling winners and eliminating underperformers. This approach transforms advertising from a quarterly deliverable into a continuous learning loop.

Read at TNW | Startups-Technology