Pomo, an AI-powered marketing intelligence platform, announced it 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. Additional backing came from angel investors including Scott Belsky, Mehdi Ghissassi, and Massimo Mascaro.
The company, headquartered in Palo Alto, was founded by former engineers from Google DeepMind and Databricks, and is focused on addressing what it describes as a growing “decision crisis” in marketing. As marketing teams face an increasing number of rapid, high-stakes decisions across fragmented channels, Pomo aims to shift workflows away from reactive execution toward prioritized, intelligence-driven action.
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 including CRM systems, commerce platforms, and advertising tools with external market context, the platform tailors decisions to each company’s strategic goals and constraints.
The system is designed to move beyond traditional AI copilots by proactively identifying high-impact opportunities rather than waiting for user prompts. Over time, its feedback loop enables continuous optimization, with recommendations improving based on prior outcomes.
Early pilots with global design partners, including collaboration with Ai4 and the Confederation of Indian Industry, have shown the platform’s ability to detect market signals earlier than existing tools, replace manual research with ranked action plans, and deliver ready-to-execute outputs directly into workflows. The company reports strong early adoption among direct-to-consumer brands and consumer-facing enterprises across sectors such as lifestyle, hospitality, and real estate.
Pomo was co-founded by Praneet Dutta and Joe Cheuk, who previously worked together at Google. Dutta led applied generative AI and reinforcement learning initiatives at Google DeepMind, contributing to models such as Imagen and Gemini, while Cheuk held engineering roles at Databricks, Meta, and Google Cloud, where he focused on addressing fragmented data systems and decision inefficiencies.
The new funding will be used to expand Pomo’s engineering and applied AI teams, enhance its real-time intelligence capabilities, and accelerate customer adoption globally.
KEY QUOTES
“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
