Pomo Raises $4.5M for AI Marketing Intelligence Platform

The AI-powered platform aims to help marketing teams make faster, more informed decisions across fragmented channels.

Apr. 8, 2026 at 7:53pm

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A high-end, photorealistic studio still-life photograph featuring a sleek, metallic laptop computer, a stack of colorful data visualization charts, and a small potted plant on a clean, white seamless background, conceptually representing the power of data-driven marketing intelligence.Pomo's AI-powered platform consolidates market data and surfaces competitive insights to help marketing teams make faster, more informed decisions.Palo Alto Today

Pomo, an AI-powered marketing intelligence platform, has raised $4.5 million in seed funding to scale its agentic decision-making technology for marketing teams. The round was led by Kindred Ventures, with participation from Databricks Ventures, Seven Stars, SV Angel, Timeless Partners, and 645 Ventures, as well as angel investors including Scott Belsky, Mehdi Ghissassi, and Massimo Mascaro.

Why it matters

Pomo's platform aims to address the 'decision crisis' in marketing, as teams face an increasing number of rapid, high-stakes decisions across fragmented channels. The company's AI-powered system monitors market signals and generates prioritized recommendations to help marketing teams make more informed, intelligence-driven decisions.

The details

Pomo's platform operates as a continuous, closed-loop system that monitors market signals such as competitor activity, demand trends, creative performance, and channel data. It then generates prioritized recommendations and can automate execution within predefined guardrails. By integrating first-party data sources with external market context, the platform tailors decisions to each company's strategic goals and constraints.

  • Pomo was founded by former engineers from Google DeepMind and Databricks.
  • The company announced its $4.5 million seed funding round on April 8, 2026.

The players

Pomo

An AI-powered marketing intelligence platform focused on helping marketing teams make faster, more informed decisions across fragmented channels.

Praneet Dutta

Co-founder and CEO of Pomo, who previously led applied generative AI and reinforcement learning initiatives at Google DeepMind.

Joe Cheuk

Co-founder of Pomo, who held engineering roles at Databricks, Meta, and Google Cloud, focusing on addressing fragmented data systems and decision inefficiencies.

Kindred Ventures

The venture capital firm that led Pomo's $4.5 million seed funding round.

Steve Jang

Founder and Managing Partner at Kindred Ventures, who commented on Pomo's potential to solve real operational problems for marketing teams.

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What they’re saying

“Marketing teams today are making more decisions, faster, across more channels than ever, but the tools haven't kept up. Teams are buried under fragmented data and forced to make high-stakes calls without the full picture. Pomo gives them a unified intelligence layer that monitors what matters, recommends what to do, and helps execute within brand-safe guardrails, so smaller teams can operate with the precision and speed of a much larger organization.”

— Praneet Dutta, Co-founder & CEO of Pomo

“We've watched marketing evolve step-by-step, moving from manual execution to AI copilots. Pomo solves a real operational problem: it consolidates market signals, surfaces competitive intelligence, and helps teams generate the deliverables they need, from product positioning to campaign strategy.”

— Steve Jang, Founder and Managing Partner at Kindred Ventures

What’s next

Pomo plans to use the new funding to expand its engineering and applied AI teams, enhance its real-time intelligence capabilities, and accelerate customer adoption globally.

The takeaway

Pomo's AI-powered marketing intelligence platform aims to help marketing teams make faster, more informed decisions by consolidating market signals, surfacing competitive intelligence, and automating the generation of key deliverables. This could be a valuable tool for brands and enterprises looking to optimize their marketing efforts in an increasingly fragmented digital landscape.