Marketers have to sift through mountains of data as they try to make their ads perform better. A new startup, Pomo, is using AI to help.
Pomo shared exclusively with CMO Insider that it had raised $4.5 million in seed funding led by Kindred Ventures, with participation from Databricks Ventures, Seven Stars, SV Angel, Timeless Partners, and 645 Ventures.
It also got angel investments from Scott Belsky, who led product at Adobe; Mehdi Ghissassi, the past product head of DeepMind and Google Brain; and Massimo Mascaro, formerly of Google AI.
Pomo — whose name is a riff on post-modern advertising — is a tool that plugs into major ad platforms like Google Ads, Meta, and TikTok, as well as CRM software (which manages a company’s interactions with customers) like HubSpot.
It works in the background, tracking a brand’s activity as well as competitors’ ad activity and product launches, and scanning social media platforms for relevant trends.
Pomo then displays a briefing that summarizes performance and suggests opportunities to act on. For example, Pomo might report that a competitor’s product was trending on TikTok and Reddit and suggest different ways the user could tweak their ads to react.
“The key way we pitch it to everyone is, rather than them having to do a lot of stuff manually on their back end, our platform can do everything for them before they even wake up,” said Praneet Dutta, CEO of Pomo. Dutta cofounded Pomo with CTO Joe Cheuk, a fellow Google alum.
Pomo can also generate a new campaign for the marketer to tweak or approve, using the brand’s creative material and style requirements, though the founders said creative isn’t their main focus.
Pomo is targeting small, fast-growing companies, particularly in consumer packaged goods, wellness, and hospitality, that have a marketing budget of $1 million and up.
The startup’s subscription-based model starts at $58 a month, with higher-priced tiers that offer more services, such as the ability for an agency to manage multiple brands’ ad performance simultaneously. Dutta said some marketers have told them they like the idea of having a tool that they can control themselves, rather than outsourcing the work to an agency.
Pomo’s founders know there are tons of marketing tech companies, from Adobe to Salesforce, competing for budgets. They say their point of difference is that their tool works in the background to proactively make recommendations, while many competitors rely on user prompts. They say Pomo also learns as it goes, so it gets better over time.
Six-person Pomo plans to use the funding to grow its engineering and applied AI team, improve the product, and bring on more clients.
Check out the pitch deck Pomo used to secure its $4.5 million seed investment, shared exclusively with CMO Insider.
Pomo’s pitch is that it saves marketers time and money.
Pomo’s founders met at Google and have experience at other tech companies, including Meta.
Praneet Dutta, cofounder and CEO, led GenAI launches for Google Ads and was a tech lead at DeepMind. Joe Cheuk, cofounder and CTO, worked at Databricks and brings software engineering, AI, and tech leadership experience.
Their pitch outlines how ad spending is expected to grow through 2029.
It says global ad revenue topped $1 trillion in 2024, suggesting there’s a big market for its services.
Pomo lists challenges facing marketers today.
They say companies need lots of marketing tools, they lose a lot of spending to invalid ad traffic, A/B tests take months, and companies struggle to wrangle data that’s spread across different platforms.
Pomo says its AI can amplify a marketer’s team.
Pomo said its AI agents can reduce to hours work that would take months if done by people.
Pomo wants to stand for data and focus.
Pomo lays out its workflow.
It’s an end-to-end platform that generates briefs, provides real-time learnings about competitors, launches campaigns across channels, and continuously improves them.
Pomo says it improves all phases of marketing.
The slide reads:
WHERE THE BUDGET LIES
Only 44 cents of every $1 reaches consumers (ANA, 2025)
Over half of capability goes unused (Gartner, 2025)
78% say manual tasks eat their time (HubSpot, 2025)
Only 49% cite performance as key (AgencyAnalytics, 2025)
31%: Paid media
22%: Martech & Software
21%: Labor/Personnel
21%: Agencies
POMO optimizes across all
Reallocates spend to what’s actually converting
One platform replaces the entire fragmented stack
AI handles the data; your team does the thinking
Performance-driven agents that scale with ambition
It compares its process to the typical campaign launch.
Pomo says it can launch a campaign in minutes, run dozens simultaneously, and tell marketers how their campaigns are performing in real time.
Pomo is a trend-spotter.
It combs social platforms for data that matters to brands. In this example of how Pomo could work for a healthcare company, it flags that flu season has started and that a competitor is out of stock on a product.
Pomo says it costs a fraction of what an ad agency would charge.
This chart lays out its prices, which started at $49 a month for solo founders and went up to $499 a month for multi-channel brands. Note: The prices have changed since the deck was created.
Pomo touts its leaders’ experience.
It says the team has been building AI systems for nearly a decade.
Pomo said it raised more than it originally sought.
Pomo says it plans to use its seed funding to grow its team and expand its client base.
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