Cuttable announced an A$20 million Series A financing and a relaunch of its advertising platform on Oct. 22, 2026, expanding its software from making creative assets toward recommending what marketers should produce next. Airtree Ventures led the round, according to the company.

Rapid News Brief: The funding supports product development and team expansion in Melbourne, New York and San Francisco. Existing investors Square Peg, Rampersand and Glitch Capital participated, Cuttable said in its announcement distributed through PR Newswire.

Campaign results feed the next brief

The company says the updated system combines advertising results, product information and a brand’s existing photography and footage to recommend and generate new ads. It describes a workflow that connects creative production with campaign feedback, rather than treating each brief as a separate starting point.

Cuttable says marketers can edit and approve the resulting creative. Its announcement describes connections to advertising platforms, Shopify catalogue and inventory information, and marketing-data tools. These are company descriptions of the product, not independently measured improvements in sales or advertising returns.

An investor describes the shift

Rampersand’s Oct. 22 investor newsletter separately described a move from responding to advertising briefs toward proactively recommending creative based on connected business data. The investor said the financing would support team growth in the same three cities. Rampersand is a financial backer, not an independent evaluator of the platform’s effectiveness.

Startup Daily also reported the round and product expansion on Oct. 22, describing the use of advertising performance, catalogues and existing visual assets to guide future creative. The financing amount is in Australian dollars; it should not be read as a US$20 million raise.

For marketing leaders, the practical distinction is between producing more variations and deciding which variations deserve testing. A connected feedback system can make that decision process more explicit, but the funding announcement does not establish that its recommendations outperform a brand’s existing approach. Teams evaluating the software would still need to assess approval controls, the quality of connected data and campaign results against their own objectives.