$11.2m · Series A · Software · London, UK
London-based Azoma, which helps consumer brands improve how their products are represented and recommended by AI shopping agents, has raised $11.2m in Series A funding. The round was led by Puma Growth Partners, with participation from dunnhumby, Twin Path, MaRS IAF, Rank Ventures and Ignite Ventures, plus angels from Google DeepMind and Legora. Azoma says the capital will expand its coverage of AI personal assistants, develop optimisation and attribution capabilities using dunnhumby data, and support further hiring for its AI team.
Making product discovery measurable across AI agents
AI shopping systems do not all assemble recommendations from the same evidence. Azoma says its analysis of 38 million citations found large differences between the sources used by Google Gemini, Google AI Overviews and Alexa for Shopping. Its platform is designed for enterprise consumer brands that need to monitor those differences at product level, then improve the product data, content and third-party sources that influence what an agent understands and recommends.
That creates a more operational proposition than a general visibility dashboard. A brand can use Azoma to identify where a product is missing, misrepresented or weakly supported for a particular shopper or agent, and then change the underlying information across the relevant commerce stack. Its Digital Twin technology simulates shopper personas, while coverage of retail assistants such as Alexa for Shopping and Walmart Sparky takes the workflow closer to purchase decisions rather than stopping at brand mentions in general-purpose chatbots.
The commercial test is attribution. Improving an answer or recommendation is useful only if a brand can connect that intervention to conversion or incremental revenue. Azoma says its collaboration with dunnhumby is intended to bring retail data into that measurement layer; the combined offering remains in development, so the funding is supporting a capability the company still has to prove at scale.
Enterprise traction raises the execution bar
Azoma reports that revenue grew almost tenfold over the past year while its team expanded from 12 to 40 people. It names L'Oréal, Unilever, Mars, Beiersdorf and Reckitt among its customers and says it holds two patents covering AI brand monitoring and product-content creation. Those claims suggest early enterprise demand, but they also set a demanding next milestone: turning fragmented agent behaviour into repeatable, attributable commercial outcomes across large product portfolios.
Sources checked:
Azoma press release · Azoma company reference · Azoma product announcement · Tech.eu Funding Explorer
