Pitch Deck: AI Startup Pomo Raised $4.5 Million for Marketing Platform

Marketers have to sift through mountains of data as they test to build their ads perform better. A new startup, Pomo, is utilizing AI to support.

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 obtained 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 trfinishs.

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 trfinishing on TikTok and Reddit and suggest different ways the utilizer 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 finish, our platform can do everything for them before they even wake up,” stated 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, utilizing the brand’s creative material and style requirements, though the founders stated creative isn’t their main focus.

Pomo is tarreceiveing compact, quick-growing companies, particularly in consumer packaged goods, wellness, and hospitality, that have a marketing budreceive 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 stated some marketers have informed 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 budreceives. They state their point of difference is that their tool works in the background to proactively build recommfinishations, while many competitors rely on utilizer prompts. They state Pomo also learns as it goes, so it receives better over time.

Six-person Pomo plans to utilize the funding to grow its engineering and applied AI team, improve the product, and bring on more clients.

Check out the pitch deck Pomo utilized 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 spfinishing is expected to grow through 2029.

It states global ad revenue topped $1 trillion in 2024, suggesting there’s a huge market for its services.

Pomo lists challenges facing marketers today.

They state companies necessary lots of marketing tools, they lose a lot of spfinishing to invalid ad traffic, A/B tests take months, and companies struggle to wrangle data that’s spread across different platforms.

Pomo states its AI can amplify a marketer’s team.

Pomo stated 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 finish-to-finish platform that generates briefs, provides real-time learnings about competitors, launches campaigns across channels, and continuously improves them.

Pomo states 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 unutilized (Gartner, 2025)

78% state manual tquestions 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 spfinish to what’s actually converting

One platform replaces the entire fragmented stack

AI handles the data; your team does the considering

Performance-driven agents that scale with ambition

It compares its process to the typical campaign launch.

Pomo states it can launch a campaign in minutes, run dozens simultaneously, and notify marketers how their campaigns are performing in real time.

Pomo is a trfinish-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 states 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 modifyd since the deck was created.