AI Sales and Marketing Startup Funding

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SUMMARY
This report analyzes publicly disclosed equity rounds raised by pure-play AI sales and marketing companies between August 2025 and July 2026, a 12-month window across every geography. We only kept rounds of $300K or more, and excluded companies that are not primarily focused on AI sales, marketing, prospecting, outbound, customer engagement, ad optimization, or revenue conversion.
Over this period, fundraising in the AI sales and marketing market reached $575M across 21 disclosed deals and 21 unique companies.
The market looks active, but not evenly funded. The median round was $17M, while the average round was $27.38M, showing that larger platform rounds pulled the market upward.
Capital in the AI sales and marketing market is concentrated. The top deal represented 26.09% of all disclosed capital, the top 3 reached 51.30%, and the top 10 reached 79.22%.
Only two rounds exceeded $50M, but those two rounds represented 43.48% of total disclosed capital. Removing rounds above $50M reduces the market from $575M to $325M.
Customer Data Platforms led the market by capital, with $250M raised across only 2 deals. That category represented 43.48% of dollars but just 9.52% of disclosed deal count.
Ad Optimization AI and Marketing Content AI led by deal count, with 5 deals each. Ad Optimization AI raised $110.5M, while Marketing Content AI raised $88.5M.
Series A was the center of gravity by deal count. It represented 11 of 21 deals and $209M, while Seed represented 7 deals and $71M.
Late-stage and growth rounds slightly outweighed early-stage capital. Seed and Series A represented 48.70% of dollars, while Series B and later including Growth Equity represented 51.30%.
North America dominated the AI sales and marketing market. It captured 15 of 21 deals and $432M, equal to 75.13% of all disclosed capital.
Repeat investors are starting to appear around AI-native GTM and marketing infrastructure. Y Combinator appeared in 3 deals, while Peak XV Partners, Goldman Sachs Alternatives, Theory Ventures, First Harmonic, and True Ventures each appeared in 2.
What are all the funding deals in the AI sales and marketing market from August 2025 to July 2026?
The table below lists every disclosed equity round raised by pure-play AI sales and marketing companies between August 2025 and July 2026. We count as “pure-play” companies those where more than 80% of activity is dedicated to AI tools for sales, marketing, prospecting, outbound, customer engagement, ad optimization, or revenue conversion.
| Company | What they do | Category | Date | Stage | Deal size | Region | Main investors | Source |
|---|---|---|---|---|---|---|---|---|
| Evertune | AI marketing platform helping brands optimize visibility and performance in AI-powered search and recommendation environments | Marketing Content AI | Aug 2025 | Series A | $15M | North America | Not specified in dataset | Evertune |
| Bluefish | AI marketing platform for Fortune 500 brands, including custom AI audiences and AI performance management | Ad Optimization AI | Aug 2025 | Series A | $20M | North America | Not specified in dataset | PR Newswire |
| Hyperbound | AI sales training and coaching platform using AI roleplays, real-call scoring, custom scorecards, and sales learning modules | AI Sales Assistants | Sep 2025 | Series A | $15M | North America | Y Combinator; Peak XV Partners | Hyperbound |
| MAI | AI agents that automate and optimize performance marketing, especially Google Ads, for e-commerce and SMB brands | Ad Optimization AI | Sep 2025 | Seed | $25M | North America | Not specified in dataset | PR Newswire |
| MoEngage | AI-led customer engagement platform helping consumer brands personalize digital experiences across web, mobile, social, email, and messaging channels | Customer Data Platforms | Nov 2025 | Growth Equity | $100M | Europe | Goldman Sachs Alternatives | PR Newswire |
| Arrowhead | Voice AI platform building sales agents for financial services and lending use cases | AI Sales Assistants | Dec 2025 | Seed | $3M | Asia-Pacific | Not specified in dataset | Outlook Business |
| FINNY | AI-powered prospecting and marketing platform built specifically for financial advisors | Lead Generation AI | Dec 2025 | Series A | $17M | North America | Not specified in dataset | Business Wire |
| Spangle AI | Agentic infrastructure connecting AI discovery to conversion for commerce brands | Ad Optimization AI | Jan 2026 | Series A | $15M | North America | Theory Ventures | Business Wire |
| Simple AI | Voice AI agent platform helping consumer brands automate inbound phone sales and support calls | AI Sales Assistants | Feb 2026 | Seed | $14M | North America | First Harmonic; Y Combinator; True Ventures | VentureBeat |
| Brandlight | AI visibility and AI-native advertising platform helping enterprise brands manage how they appear in AI search, discovery, and media | Ad Optimization AI | Feb 2026 | Series A | $30M | North America | Not specified in dataset | PR Newswire |
| WINN.AI | Real-time revenue execution platform delivering live sales guidance during customer calls | AI Sales Assistants | Feb 2026 | Series A | $18M | Middle East | Not specified in dataset | Business Wire |
| Kana | AI agents for marketers covering data analysis, audience targeting, campaign management, customer engagement, media planning, and AI-chatbot optimization | Marketing Content AI | Feb 2026 | Seed | $15M | North America | Not specified in dataset | TechCrunch |
| Koah | Contextual advertising infrastructure for generative AI applications, enabling native ads inside AI conversations | Ad Optimization AI | Feb 2026 | Series A | $20.5M | North America | Theory Ventures | PR Newswire |
| Mega | AI marketing agents that automate SEO, ads, and websites for SMBs | Marketing Content AI | Mar 2026 | Series A | $11.5M | North America | Not specified in dataset | Forbes |
| Realm | AI agents that map a company’s go-to-market structure and help execute enterprise sales workflows | Sales Intelligence Tools | Apr 2026 | Seed | $4.5M | Europe | Not specified in dataset | EU-Startups |
| Zynt | AI-powered B2B sales signal intelligence platform for prospecting and enterprise sales workflows | Sales Intelligence Tools | Apr 2026 | Seed | $0.5M | Europe | Not specified in dataset | EU-Startups |
| Hightouch | Data and AI platform for marketing, including customer data activation and AI-powered marketing workflows | Customer Data Platforms | Apr 2026 | Series D+ | $150M | North America | Goldman Sachs Alternatives | Business Wire |
| Actively AI | AI revenue platform deploying account-level agents for sales research, opportunity detection, and next-best-action recommendations | Outbound Automation | Apr 2026 | Series B | $45M | North America | First Harmonic | Business Wire |
| Nectar Social | Agentic operating system for modern marketing, including an autonomous marketing agent | Marketing Content AI | May 2026 | Series A | $30M | North America | True Ventures | Business Wire |
| Sprouts.ai | AI revenue agents for B2B sales tasks including prospecting, contact enrichment, and multi-channel outreach | Outbound Automation | May 2026 | Seed | $9M | North America | Not specified in dataset | Crowdfund Insider |
| JustAI | AI-native marketing platform automating personalization, experimentation, decisioning, campaign creation, and measurement | Marketing Content AI | Jun 2026 | Series A | $17M | Asia-Pacific | Y Combinator; Peak XV Partners | PR Newswire |
OUR METHODOLOGY TO BUILD THIS TRACKER
We built this AI sales and marketing funding tracker by reviewing every publicly disclosed equity round raised by pure-play AI sales and marketing companies between August 2025 and July 2026. A company counts as pure-play when more than 80% of its activity is dedicated to AI tools for sales, marketing, prospecting, outbound, customer engagement, ad optimization, or revenue conversion.
We applied four filters to build the dataset. First, we only included equity rounds, so grants, debt, and revenue financing are excluded. Second, we only counted rounds of $300K or more. Third, we only kept pure-play AI sales and marketing companies. And fourth, every entry had to be confirmed by a direct company announcement, a press release, or a tier-1 media report, with the source URL preserved for every row.
We excluded undisclosed-size rounds because including them would have distorted every dollar-based metric in the AI sales and marketing market. Rox AI appeared relevant to the market, but was excluded from the quantitative dataset because available reporting disclosed valuation rather than deal size. The final dataset contains 21 disclosed deals across 21 unique companies, and every average, median, share, and concentration ratio is computed on that disclosed sample.
How active has fundraising been in the AI sales and marketing market?
As of July 2026, fundraising in the AI sales and marketing market has been active across the 12 months studied. Companies raised 21 disclosed equity rounds and $575M combined, which equals an average of 1.75 deals per month.
The market did not produce deals evenly across the period. February 2026 was the busiest month with 5 deals, while April 2026 produced the most capital with $200M raised.
The monthly average for capital was $47.92M, but the median month was lower at $27.5M. That gap matters because April was heavily influenced by Hightouch and Actively AI.
The dataset also shows periods of silence. October 2025 and July 2026 had no qualifying disclosed deals, which confirms that activity was real but not continuous.
How concentrated has fundraising been in the AI sales and marketing market?
As of July 2026, fundraising in the AI sales and marketing market has been meaningfully concentrated. Across the 12 months studied, the top deal represented 26.09% of disclosed capital, the top 3 represented 51.30%, and the top 5 represented 61.74%.
Hightouch alone raised $150M, which made it the largest round in the dataset. MoEngage followed with $100M, and Actively AI added another $45M.
The top 10 deals represented 79.22% of disclosed capital. That means most market dollars came from fewer than half of the companies in the dataset.
This concentration changes how the market should be read. The AI sales and marketing market looks broad on logos, but the capital pool is still shaped by a small number of platform-scale rounds.
How much of the AI sales and marketing funding signal is driven by outliers?
As of July 2026, a large part of the AI sales and marketing funding signal is driven by outliers. Across the 12 months studied, only 2 deals exceeded $50M, but those rounds represented 43.48% of all disclosed capital.
The two large rounds were Hightouch at $150M and MoEngage at $100M. Both sit in Customer Data Platforms, which explains why that category dominates capital despite low deal count.
Removing rounds above $50M reduces total market capital from $575M to $325M. That stress test shows that the market remains active even without outliers, but the headline total becomes much smaller.
The median round size of $17M is a better read on the typical company than the $27.38M average. The average is useful, but it is pulled upward by the largest platform rounds.
Is the AI sales and marketing market broad with many targets, or narrow with few fundable companies?
As of July 2026, the AI sales and marketing market is broad by company count but narrow by capital weight. Across the 12 months studied, the dataset includes 21 deals across 21 unique companies, so the market does not depend on repeat raises from the same startups.
The category spread also looks broad. Ad Optimization AI and Marketing Content AI each produced 5 deals, AI Sales Assistants produced 4, and three other categories had at least 1 qualifying deal.
But the dollar flow is much narrower. Customer Data Platforms produced only 2 deals and still captured 43.48% of capital, which makes the market less evenly distributed than the logo count suggests.
The best reading is that AI sales and marketing has many fundable entry points, but only a few systems absorb large checks. Investors are still experimenting widely, while reserving larger dollars for data and workflow infrastructure.
Is AI sales and marketing mostly an early-stage formation market or a late-stage scaling market?
As of July 2026, the AI sales and marketing market sits between early-stage formation and late-stage scaling. Across the 12 months studied, Seed and Series A rounds represented 18 of 21 deals, but only 48.70% of disclosed capital.
Series A is the center of gravity by count and dollars. It represented 11 deals and $209M, equal to 52.38% of disclosed deals and 36.35% of disclosed capital.
Seed activity was also strong, with 7 deals and $71M raised. The median Seed round was $9M, but the category ranged widely from Zynt’s $0.5M pre-seed to MAI’s $25M seed.
Late-stage rounds were rare but powerful. Series B and later including Growth Equity represented just 3 deals, yet they captured 51.30% of capital through Actively AI, MoEngage, and Hightouch.
Which categories attract the most investor attention in AI sales and marketing?
As of July 2026, Ad Optimization AI and Marketing Content AI attracted the most investor attention by deal count in the AI sales and marketing market. Across the 12 months studied, each category produced 5 disclosed deals, equal to 23.81% of market activity apiece.
Ad Optimization AI raised $110.5M across Bluefish, MAI, Spangle AI, Brandlight, and Koah. This shows investor interest in AI-native surfaces for search, ads, commerce, and monetization.
Marketing Content AI raised $88.5M across Evertune, Kana, Mega, Nectar Social, and JustAI. The category is active, but its capital total trails Ad Optimization AI despite the same deal count.
AI Sales Assistants also had meaningful activity, with 4 deals and $50M raised. The category is fundable, but not yet absorbing the same scale of capital as marketing data or ad infrastructure.
Which categories attract disproportionately large checks in the AI sales and marketing market?
As of July 2026, Customer Data Platforms attracted disproportionately large checks in the AI sales and marketing market. Across the 12 months studied, the category represented only 9.52% of disclosed deals but 43.48% of disclosed capital.
The capital share to deal share ratio for Customer Data Platforms was 4.57. That is the clearest sign that investors are paying more for platforms that own customer data, activation rails, and marketing workflow infrastructure.
Outbound Automation was the next most balanced scaled category, with $54M across 2 deals and a capital share to deal share ratio of 0.99. Actively AI’s $45M Series B gave the category most of its weight.
Sales Intelligence Tools moved in the opposite direction. It represented 9.52% of deals but only 0.87% of capital, which suggests investor curiosity at formation stage rather than major scaling conviction.
Which geographies matter most for fundraising in the AI sales and marketing market?
As of July 2026, North America mattered most for fundraising in the AI sales and marketing market. Across the 12 months studied, North America captured 15 of 21 deals and $432M, equal to 75.13% of all disclosed capital.
Europe ranked second by capital, with $105M across 3 deals. But that number is shaped heavily by MoEngage’s $100M Growth Equity round.
Asia-Pacific produced 2 deals and $20M, while the Middle East produced 1 deal and $18M. Both regions appeared in the dataset, but neither approached North America’s scale.
The geographic split suggests that AI sales and marketing remains tied to U.S.-style GTM software buying. North America has the deepest venture base, strongest SaaS buyer density, and most visible AI-native revenue software activity.
Is the AI sales and marketing opportunity set broad or concentrated in one hub?
As of July 2026, the AI sales and marketing opportunity set is concentrated in one main hub with several smaller satellites. Across the 12 months studied, North America alone represented 71.43% of disclosed deals and 75.13% of capital.
Europe is visible but uneven. Its average round size was $35M, but its median round size was only $4.5M because MoEngage dominated the regional capital total.
Asia-Pacific and the Middle East showed practical use-case activity. Arrowhead, JustAI, and WINN.AI all focused on sales or marketing workflows rather than broad horizontal infrastructure.
Latin America and Africa had no qualifying disclosed deals in this dataset. That does not mean no companies exist there, but no pure-play company met the public equity, size, and disclosure filters during the 12-month window.
Is AI sales and marketing a market of small experiments or scaled financings?
As of July 2026, the AI sales and marketing market is mostly a market of mid-sized experiments with a few scaled financings. Across the 12 months studied, 13 of 21 deals were below $20M, while only 2 deals were $50M or more.
The most common range was $5M to below $20M, with 10 deals. Another 6 deals sat between $20M and below $50M, which shows a strong middle of Series A and larger Seed rounds.
Only 3 deals were below $5M: Arrowhead, Realm, and Zynt. This suggests that even early AI sales and marketing startups can raise meaningful capital when the use case is specific and commercially measurable.
The median round was $17M, which fits a market still selecting winners. The $27.38M average is higher because Hightouch and MoEngage pulled the capital curve upward.
Who are the investors that appear the most in AI sales and marketing fundraising?
As of July 2026, Y Combinator appeared most often in AI sales and marketing fundraising. Across the 12 months studied, it appeared in 3 disclosed deals: Hyperbound, Simple AI, and JustAI.
Several investors appeared in 2 deals each. Peak XV Partners backed Hyperbound and JustAI, Goldman Sachs Alternatives appeared in MoEngage and Hightouch, and Theory Ventures appeared in Spangle AI and Koah.
First Harmonic appeared in Simple AI and Actively AI, while True Ventures appeared in Simple AI and Nectar Social. These repeats suggest investor pattern recognition around AI-native GTM, marketing infrastructure, and revenue workflow automation.
One caveat matters for investor interpretation. Public announcements disclose round participants and total round sizes, but not the exact check written by each investor, so repeat counts are more reliable than investor-dollar estimates.
INSIGHTS
The insights below come from reviewing every disclosed equity round in the AI sales and marketing market between August 2025 and July 2026. They are not row-by-row summaries. They are the reusable patterns that kept showing up across the 21-deal dataset, and they are meant to stay useful when reading future AI sales and marketing funding announcements.
The AI sales and marketing market looks broad by company count but narrow by capital weight. The dataset includes 21 companies, but Customer Data Platforms captured 43.48% of all dollars with only 2 deals. The market is active across many product types, while large checks still concentrate around infrastructure-like systems.
The biggest signal is buyer-system centrality, not deal frequency. Platforms that sit on customer data, campaign decisioning, or revenue workflow infrastructure raised larger rounds than tools focused on a single sales or content task. Investors appear to reward products that can become a system of action.
The median round is a better guide than the average round. The median was $17M, while the average was $27.38M. That gap shows how two large rounds make the market look more mature than the typical company really is.
Megarounds shape the narrative more than the company base. Only 2 rounds exceeded $50M, yet they represented 43.48% of all disclosed capital. Any market-size headline should be checked against what happens after removing Hightouch and MoEngage.
Customer Data Platforms are the clearest premium category. Their capital share to deal share ratio was 4.57, far above every other category. This suggests investors value control of first-party data and activation rails more than surface-level automation.
Ad Optimization AI is the most balanced scaled category. It produced 5 deals, $110.5M, and a median round of $20.5M. The category shows repeatable funding demand without depending on one single outlier.
Marketing Content AI is active but less capital-dense than ad optimization. It matched Ad Optimization AI on deal count but raised less capital. Investors may see campaign and content generation as more crowded or less defensible than decisioning and conversion surfaces.
AI Sales Assistants remain fundable, but not yet mega-round fundable. The category produced 4 deals and $50M. Sales copilots, coaching tools, and voice agents attract capital, but larger checks still flow to broader revenue or marketing systems.
Conversation Intelligence is absent as a qualifying pure-play category. That absence is notable because call analytics used to be a visible AI sales theme. The stand-alone market may be more mature, more consolidated, or no longer framed as a pure AI funding story.
Early-stage rounds dominate deal count, but not capital. Seed and Series A rounds represented 85.71% of deals but only 48.70% of dollars. The market is full of experiments, while scale capital remains selective.
Late-stage checks still go to companies that own critical workflow layers. Hightouch, MoEngage, and Actively AI represented only 3 deals but 51.30% of capital. Investors still back large incumbency plays when the company owns a meaningful marketing or revenue system.
North America is the center of gravity for this market. It captured 71.43% of deals and 75.13% of capital. AI sales and marketing funding remains closely tied to U.S.-style SaaS buying, venture distribution, and GTM experimentation.
Europe’s average round size is misleading. Europe averaged $35M per deal, but its median was only $4.5M. MoEngage dominates the regional dollar total, so the median better describes Europe’s early-stage reality.
Agentic language is common, but workflow specificity matters more. The strongest companies pair agents with concrete jobs like campaign management, ad optimization, prospecting, account execution, or data activation. Generic agent language should be discounted unless it connects to measurable revenue movement.
Investors appear to distinguish between AI that writes and AI that decides. Larger checks went to companies promising decisioning, measurement, personalization, or performance optimization. Copy generation alone looks less capital-efficient in this dataset.
Proprietary workflow data is the strongest defensibility signal. Customer engagement history, ad performance data, call transcripts, CRM signals, and account context appear repeatedly across better-funded companies. Model capability alone is not enough.
The market is moving toward autonomous operating layers. Simple AI, Nectar Social, Actively AI, JustAI, and MAI frame the product as agents doing work, not just recommending actions. The strategic shift is from assistance to execution.
Verticalization works best at early stages. FINNY and Arrowhead raised focused rounds for financial advisors and BFSI sales. The largest rounds, however, came from broader horizontal platforms with enterprise reach.
The practical diligence rule is closed-loop proof. The strongest companies can show a path from data ingestion to action to measured lift. Companies that only create copy, lists, or recommendations look structurally less capital-efficient.
AI sales and marketing is no longer one simple market. It is splitting into at least three funding logics: data platforms funded for scale, agentic workflow tools funded at Series A, and narrow sales intelligence tools funded at formation stage.
Evertune (Series A), PR Newswire (Bluefish), Hyperbound (Series A), PR Newswire (MAI), PR Newswire (MoEngage), Outlook Business (Arrowhead), Business Wire (FINNY), Business Wire (Spangle AI), VentureBeat (Simple AI), PR Newswire (Brandlight), Business Wire (WINN.AI), TechCrunch (Kana), PR Newswire (Koah), Forbes (Mega), EU-Startups (Realm), EU-Startups (Zynt), Business Wire (Hightouch), Business Wire (Actively AI), Business Wire (Nectar Social), PR Newswire (JustAI)
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