Jeromy Sonne — CEO & Founder at Daypart.ai

Jeromy Sonne has taken on the role of CEO and Founder at Daypart.ai, a new venture focused on applying artificial intelligence to dayparting strategies in digital advertising. Daypart.ai appears to be an early-stage company leveraging machine learning to optimize ad delivery timing, helping advertisers reach audiences at the most contextually and behaviorally relevant moments throughout the day. This represents a focused application of AI to a historically underutilized lever in programmatic and performance advertising. Jeromy Sonne is a well-known figure in the AdTech and performance marketing space, having previously held senior roles at companies including Lunar Solar Group and other digital marketing ventures. His background spans programmatic advertising, agency operations, and marketing technology, making him a credible founder for a product targeting media buyers and performance marketers. The founding of Daypart.ai signals his intent to productize AI-driven temporal optimization as a standalone solution rather than a feature within a broader platform. The significance of this move lies in the growing recognition that when an ad is served can be as important as who it is served to. As audience targeting faces increasing constraints from privacy regulations and cookie deprecation, contextual and temporal signals are gaining renewed importance. Daypart.ai's focus on this niche positions it at the intersection of AI automation and privacy-resilient advertising strategies.

The launch of Daypart.ai under Sonne's leadership reflects a broader industry trend toward hyper-specialized AI tooling within AdTech, where founders with deep operational expertise are building point solutions to address specific inefficiencies in the media buying workflow. Dayparting as a concept is not new, but applying modern machine learning to dynamically optimize time-based delivery across channels — including CTV, programmatic display, paid social, and search — represents a meaningful evolution of the practice. Competitively, Daypart.ai would be entering a space adjacent to bid optimization platforms, budget pacing tools, and AI-driven media planning solutions offered by larger players such as The Trade Desk, Google DV360, and various DSPs with built-in dayparting controls. The differentiation would likely come from cross-channel agnosticism, granularity of AI modeling, and ease of integration for independent agencies and performance marketers. If successful, the company could attract acquisition interest from DSPs, agency holding companies, or marketing cloud providers seeking to enhance their temporal optimization capabilities. For the broader AdTech ecosystem, this founding event underscores the continued entrepreneurial activity in AI-native AdTech startups, particularly those targeting the long tail of media buyers who lack sophisticated in-house tooling. It also highlights the growing investor and founder interest in AI applications that complement rather than replace existing programmatic infrastructure.