AI Shopping Startup Funding 2025-2026

What are all the funding deals in the AI shopping market from July 2025 to June 2026?

The table below lists every disclosed equity round raised by pure-play AI shopping companies between July 2025 and June 2026. We count as “pure-play” AI shopping companies those whose software directly improves how consumers discover, evaluate, compare, select, or receive advice about products in digital commerce journeys.

Each row shows the company, what it does, its category, the deal date, the funding stage, the round size, the region, the main investors, and the announcement source. For a wider view of how AI shopping is changing product discovery, purchase decisions, and agentic commerce, we cover it in our AI Shopping market report.

How active has fundraising been in the AI shopping market?

As of June 2026, fundraising in the AI shopping market has been active, but still modest in absolute scale. Over the past 12 months, companies raised 21 disclosed equity rounds and $241.68M combined, equal to 1.75 deals per month.

The AI shopping market is therefore not empty, but it is not yet a large late-stage market either. The 21 rounds were raised by 19 unique companies, which means most companies appeared only once in the funding record.

Monthly activity was uneven. November 2025 was the densest month with 6 deals, while August 2025, October 2025, and June 2026 had no counted deals in the dataset.

Dollar flow was also bursty. July 2025 brought $66.10M, May 2026 brought $55.30M, and November 2025 brought $48.90M, while several months were close to zero. The average monthly capital figure of $20.14M should therefore be read as a smoothed number, not a normal month.

If you’re interested in knowing more about the companies shaping this category, check our market report covering AI shopping.

How concentrated has fundraising been in the AI shopping market?

As of June 2026, fundraising in the AI shopping market is highly concentrated at the top. Over the past 12 months, the largest deal accounts for 24.83% of total capital, the top 3 deals reach 48.20%, and the top 5 deals reach 60.62%.

Gensmo’s $60.0M seed round is the clearest outlier. It alone represents almost a quarter of all disclosed capital in the AI shopping market.

The top 10 deals account for 81.97% of all disclosed dollars. That means the headline funding number is mostly a story about a relatively small group of companies, not a broad wave of evenly funded startups.

This concentration matters for interpretation. A market can look well-funded in aggregate while most companies are still raising small seed checks or trying to prove repeatable demand.

How much of the AI shopping funding signal is driven by outliers?

As of June 2026, a meaningful share of the AI shopping funding signal is driven by outliers, but the market is not only a megaround story. Over the past 12 months, one deal exceeded $50M, two deals sat between $20M and $50M, and 11 deals landed between $5M and $20M.

The largest round, Gensmo’s $60.0M seed, distorts the average round size. The average deal is $11.51M, while the median is only $7.00M, which is a better indicator of the typical disclosed financing.

Excluding rounds above $50M leaves $181.68M in disclosed capital. That means the AI shopping market still has a real base of funding activity even after removing the single largest round.

The practical reading is simple: the market has one major consumer-facing outlier, but the middle of the market is still meaningful. The $5M–20M band contains 11 of 21 deals, which is the real center of gravity. For more context on the deal mix, see our deeper analysis of the AI shopping market.

Is the AI shopping market broad with many targets, or narrow with few fundable companies?

As of June 2026, the AI shopping market is broad enough to show real formation, but narrow enough that fundable targets remain selective. Over the past 12 months, the dataset contains 21 deals across 19 unique companies.

That company count shows more breadth than a single-winner market. At the same time, only two companies, Peec AI and Phia, raised more than once during the period.

Category distribution also suggests the market is still sorting itself out. Commerce Decision Support leads with 8 deals, AI Merchandising Tools follows with 5, and AI Shopping Assistants has only 3.

This means the AI shopping market is not just a collection of consumer apps. Much of the activity sits in infrastructure and decision-support layers that make products easier for AI systems to understand, compare, and recommend.

Is AI shopping mostly an early-stage formation market or a late-stage scaling market?

As of June 2026, the AI shopping market is overwhelmingly an early-stage formation market. Over the past 12 months, 100% of disclosed capital sits in Seed, Series A, or Unknown rounds, with no Series B, Series C, Series D+, or Growth Equity rounds counted.

Seed is the dominant stage by deal count and capital. Seed rounds represent 16 of 21 deals and $171.98M, equal to 71.16% of all disclosed dollars.

Series A rounds are present but limited. They account for 3 deals and $51.00M, with an average size of $17.00M and a median size of $15.00M.

The absence of later-stage capital is important. It suggests investors are still financing category formation, product-market fit, and early commercial proof rather than mature scale economics.

If you want to understand which layers investors are testing first, explore our report on the AI shopping market.

Which categories attract the most investor attention in AI shopping?

As of June 2026, Commerce Decision Support attracts the most investor attention in AI shopping. Over the past 12 months, the category raised $91.20M across 8 deals, making it the leader by both capital and deal count.

This matters because Commerce Decision Support is not just a front-end assistant category. It includes product graphs, agentic commerce infrastructure, comparison tools, and systems that help AI-mediated shopping decisions happen.

AI Merchandising Tools rank second by deal count, with 5 deals and $53.20M raised. These companies help brands understand and improve how they appear in AI search, AI answers, and shopping-adjacent recommendation systems.

AI Shopping Assistants rank second by capital, with $67.18M raised across only 3 deals. That gap shows that consumer-facing assistant enthusiasm exists, but it is concentrated in a few perceived breakout companies.

Which categories attract disproportionately large checks in the AI shopping market?

As of June 2026, AI Shopping Assistants attract the most disproportionately large checks in the AI shopping market. Over the past 12 months, the category represents 14.29% of deals but 27.80% of capital, giving it a capital-share-to-deal-share ratio of 1.95.

That premium is heavily shaped by Gensmo’s $60.0M seed round. Without that deal, AI Shopping Assistants would look much closer to the rest of the market.

AI Recommendations also appears efficient on a small base. It has only 1 deal, Albatross AI’s $12.5M round, but its capital share is slightly above its deal share.

Product Advice Engines sit at the other end of the spectrum. They represent 9.52% of deals but only 2.94% of capital, which suggests advice alone can look like a feature unless it is tied to strong data, attribution, or conversion lift.

Which geographies matter most for fundraising in the AI shopping market?

As of June 2026, North America matters most for fundraising in the AI shopping market by capital. Over the past 12 months, North American companies raised $180.10M, equal to 74.52% of all disclosed capital.

North America also leads by deal count, with 11 of 21 deals. The region’s average round size is $16.37M, and its median round size is $10.00M.

Europe is close on formation but weaker on funding depth. It produced 9 deals, or 42.86% of the total, but raised only $58.58M, or 24.24% of disclosed capital.

Asia-Pacific appears in only one counted deal, Shoppin’s $3.0M seed round. That does not prove there is no AI shopping activity in the region, but it does show limited disclosed pure-play equity funding under these filters.

For a fuller view of where AI shopping companies are emerging, see our market report covering AI shopping geographies.

Is the AI shopping opportunity set broad or concentrated in one hub?

As of June 2026, the AI shopping opportunity set is concentrated in two main hubs rather than one. Over the past 12 months, North America and Europe together account for 20 of 21 disclosed deals and 98.76% of disclosed capital.

North America is the scale-financing hub. It captures 74.52% of capital from 52.38% of deals, meaning its companies raised structurally larger rounds.

Europe is the startup-formation hub. It captures 42.86% of deals but only 24.24% of capital, which points to broad company activity but smaller financing rounds.

Latin America, the Middle East, and Africa do not appear in the dataset under the strict scope. The absence should be read as a public funding visibility signal, not as proof that no AI shopping experimentation exists there.

Is AI shopping a market of small experiments or scaled financings?

As of June 2026, the AI shopping market is mostly a market of serious early-stage financings, not tiny experiments or late-stage scale rounds. Over the past 12 months, 11 of 21 deals landed in the $5M–20M range.

There are still small rounds. The dataset includes 7 deals below $5M, including Zellor, Ranketta, Era, Shoppin’, Consio AI, Fit Collective, and Cernel.

There are also a few larger rounds. Two deals sit between $20M and $50M, and one deal exceeds $50M, but there are no rounds above $100M.

The market’s size distribution confirms its stage. Investors are writing meaningful seed and Series A checks, but they are not yet underwriting repeated late-stage platform outcomes.

If you want to track how this financing curve changes over time, check our full market deck on AI shopping.

Who are the investors that appear the most in AI shopping fundraising?

As of June 2026, repeat investors in the AI shopping market are visible but limited. Over the past 12 months, the dataset identifies six investor names that appear in more than one disclosed deal.

Kleiner Perkins appears twice through Phia’s September 2025 seed round and May 2026 follow-on financing. That makes Phia one of the clearest repeat-validation stories in the dataset.

Antler, Combination VC, identity.vc, and S20 each appear twice through Peec AI’s seed and Series A rounds. This shows investor conviction in one AI-search visibility company rather than broad multi-company coverage of the market.

Silicon Road Ventures appears twice through ReFiBuy and Rep AI. That is one of the more interesting repeat patterns because it spans two companies tied to agentic commerce and e-commerce conversion.

One important caveat is that round announcements rarely disclose each investor’s exact check size. These repeat counts show participation, not the amount each investor personally committed.

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