A group of former engineers from Google DeepMind and Databricks has launched a new startup, Pomo, aimed at applying artificial intelligence agent systems to marketing functions that involve complex and high-frequency decision-making. The company is focusing on areas where marketers are required to process large volumes of data and make rapid, continuous decisions.
Pomo’s platform is designed to deploy AI agents that can operate across marketing workflows, assisting teams in tasks such as campaign optimisation, budget allocation, and performance tracking. These agents are built to analyse data, identify patterns, and execute decisions in real time, reducing the need for manual intervention.
The founders bring experience from organisations known for their work in machine learning and data infrastructure, which has influenced Pomo’s approach to building scalable AI systems. Their objective is to extend the application of AI agents beyond traditional use cases and into decision-dense environments such as marketing.
Marketing operations often involve multiple variables, including audience segmentation, channel selection, timing, and budget distribution. Pomo aims to address this complexity by enabling AI agents to manage these variables simultaneously, allowing for faster and more consistent decision-making.
The platform focuses on integrating with existing marketing tools and data sources, enabling organisations to adopt AI agents without overhauling their current systems. By working within established workflows, Pomo seeks to lower the barrier to adoption and provide immediate operational benefits.
A key aspect of the company’s offering is the ability of its AI agents to continuously learn and adapt based on performance data. This allows the system to refine its decision-making processes over time, improving outcomes as more data becomes available. The approach is intended to align with the dynamic nature of marketing environments, where conditions can change rapidly.
Pomo’s launch comes at a time when businesses are increasingly exploring the use of AI to automate not just execution but also decision-making processes. While earlier tools focused on analytics and reporting, newer platforms are moving towards autonomous systems that can act on insights without requiring constant human input.
Industry observers note that decision automation is becoming a key area of focus within marketing technology. As campaigns grow more complex and data volumes increase, the ability to process information and act quickly is seen as a competitive advantage. AI agents are emerging as a solution to manage this complexity at scale.
The startup is positioning itself within this evolving landscape by focusing specifically on marketing use cases. By tailoring its technology to the needs of marketers, Pomo aims to provide more relevant and actionable outputs compared to general-purpose AI tools.
At the same time, the company acknowledges the importance of human oversight in AI-driven systems. Its platform is designed to work alongside marketing teams, providing recommendations and executing tasks while allowing users to set parameters and monitor performance.
Pomo is currently in the early stages of development and is working with select partners to test and refine its platform. Feedback from these deployments is expected to inform future iterations of the product, including enhancements to usability and functionality.
The broader trend towards AI-driven decision-making is expected to continue across industries, with marketing emerging as a key area for innovation. Startups like Pomo are contributing to this shift by developing tools that combine automation with advanced analytics.
As the adoption of AI agents grows, companies will need to balance efficiency gains with considerations around transparency and control. Pomo’s approach reflects an effort to address these factors while enabling marketers to operate more effectively in data-intensive environments.
With its focus on decision automation and integration, Pomo is entering a competitive but expanding segment of the martech industry, where AI is increasingly shaping how marketing strategies are developed and executed.