Azoma’s AI Auditors Land Mars and P&G in the Chatbot Aisle

The London startup, founded by an Amazon search veteran, raised $11.2 million from Puma Growth Partners to help global brands measure and influence AI-generated product recommendations.

About Azoma

Published

Azoma’s pitch is a simple one. When a shopper asks ChatGPT for the best toothpaste for sensitive teeth, whose tube shows up first? The answer is no longer just about search engine ads. It’s a new, opaque layer of AI-driven discovery, and a cohort of global brands is paying to see inside it [Perplexity Sonar Pro Brief].

Founded in 2022, the London and Toronto based company sells what it calls Agentic Commerce Optimization software. The platform audits how AI shopping agents from ChatGPT to Amazon Rufus discover, interpret, and recommend a brand’s products. It then provides tools to enrich product data and optimize for what Azoma terms ‘share of visibility’ in these AI generated answers [Azoma, End-to-end Agentic Commerce Optimization Software for Enterprises]. The customer list reads like a who’s who of fast moving consumer goods: Mars, Colgate, Procter & Gamble, L’Oréal, and Unilever are all reported clients [Perplexity Sonar Pro Brief]. Revenue grew almost tenfold in the year leading up to October 2026, according to the company [The Manila Times, October 2026].

The Amazon Search Veteran’s Wedge

The company’s wedge is a founder’s specific experience. Co founder and CEO Max Sinclair spent six years at Amazon, where he was responsible for customer browse and catalog experience for the launch of Amazon in Singapore and the rollout of Amazon Grocery across the EU [Azoma, Insights, Unknown]. That background gives the company’s sales narrative a concrete origin story: Sinclair saw firsthand how product discovery algorithms work, and now he’s building the tools for a world where those algorithms are conversational agents. His co founder, Dr. Timur Luguev, brings the machine learning PhD credentials as CTO [Perplexity Sonar Pro Brief].

Azoma’s product surfaces span the emerging landscape of AI search. The company says it tracks brand visibility and competitor positioning across ChatGPT, Google’s Gemini and AI Overviews, Perplexity, Amazon Rufus, Alexa for Shopping, and Walmart’s Sparky [MarTech Series, September 2026]. For enterprise buyers, the promise is a single dashboard to monitor for inaccurate product claims, missing facts, or competitive misrepresentation in AI generated shopping answers [Azoma, End-to-end Agentic Commerce Optimization Software for Enterprises].

Funding a New Category

The bet on this new category has attracted over $15 million in disclosed capital. A $4 million pre Series A in December 2025 brought in investors like Ignite Ventures, Rank Ventures, and eBay Ventures [Business Insider, December 2025]. That was followed fourteen months later by an $11.2 million Series A led by Puma Growth Partners, with continued participation from earlier backers and new strategic money from dunnhumby, the retail data giant owned by Tesco [Business Insider / CMO Insider, October 2026].

The capital has fueled rapid team expansion. Headcount grew from 12 to 40 people between the company’s offices in London and Toronto by the time of the Series A close [Techstars, October 2026]. The company is also hiring for senior roles, including a Head of People, indicating a focus on scaling operations [Azoma, Head of People job posting].

Round Date Amount Lead Investor
Pre-Series A December 2025 $4 million Not Disclosed [Business Insider, December 2025]
Series A October 2026 $11.2 million Puma Growth Partners [Business Insider / CMO Insider, October 2026]

The Competitive Field and Counterfactuals

Azoma is not operating in a vacuum. ai, though these firms may focus on different slices of customer service or marketing automation. A more direct conceptual competitor appears to be Adyen Agentic, the payments giant’s own foray into agentic commerce tools. The space is nascent, and the competitive map is still being drawn.

The risks for Azoma are inherent in its bet on a frontier market.

  • Platform dependency. The company’s entire value proposition is tied to the continued prominence and openness of third party AI platforms like ChatGPT and Amazon Rufus. A sudden change in API access or a platform deciding to build similar tooling in house could undermine the business [Analysis].
  • Proving ROI. While the company reports tenfold revenue growth, the ultimate return on investment for a brand spending on ‘AI visibility’ is still being established. Convincing procurement teams to fund this net new budget line requires clear, attributable sales lift [Analysis].
  • Market education. The company must simultaneously sell its software and educate the market on the problem it solves. This is a classic, costly challenge for any startup defining a new category.

The company’s answer to these risks is its roster of blue chip customers and strategic investors. Landing Mars and P&G provides validation. Bringing on dunnhumby as an investor creates a potential distribution channel into the vast Tesco supplier network [The Grocer, September 2026].

The Next Twelve Months

With the Series A closed, the next phase is about scaling proof. The company will need to move from landing initial pilot deals with global brands to expanding those contracts and demonstrating renewal motion. Geographic expansion beyond its London and Toronto hubs is likely. Another key milestone will be landing a major retail chain as a customer, not just the brands that sell through them.

The $11.2 million Series A led by Puma Growth Partners values the company’s tenfold revenue growth and its foothold with giants like Unilever and Reckitt. For investors like dunnhumby Ventures and angels from Google DeepMind, the bet is that AI shopping agents will create a new, must have software layer for commerce [Business Insider / CMO Insider, October 2026]. The question for the next year is whether Azoma can turn its early visibility with brands into the default operating system for a world where shopping starts with a question, not a search bar.

Sources

  1. [Perplexity Sonar Pro Brief] Azoma company and product overview
  2. [Azoma, End-to-end Agentic Commerce Optimization Software for Enterprises] Product capabilities page
  3. [The Manila Times, October 2026] Azoma raises $11.2M to help brands get discovered and recommended by AI shopping agents
  4. [Azoma, Insights, Unknown] Founder background details
  5. [MarTech Series, September 2026] Azoma coverage on AI search surfaces
  6. [Business Insider, December 2025] Pitch Deck: Azoma Raises $4M to Help Brands Show up in AI Search | https://www.businessinsider.com/azoma-geo-ai-search-funding-pitch-deck-2025-12
  7. [Business Insider / CMO Insider, October 2026] Azoma wants to help brands win the AI shopping race. See the pitch deck that helped it raise $11.2 million. | https://www.businessinsider.com/azoma-raises-millions-optimize-brands-ai-shopping-agents-2026-10
  8. [Techstars, October 2026] Team growth announcement
  9. [Azoma, Head of People job posting] Open role listing
  10. [The Grocer, September 2026] Dunnhumby backs UK startup boosting brands’ visibility to AI agents | https://www.thegrocer.co.uk/news/dunnhumby-backs-uk-startup-boosting-brands-visibility-to-ai-agents/723716.article

Read on Startuply.vc