For performance marketers and retail media leaders, Moloco is an advertising platform that uses machine learning to predict conversions, bid for app and connected-TV impressions, and match sponsored ads to shopper behavior on retailers' and marketplaces' own properties.
Presence & Market Position
Tracked · below panel floor — earned mentions are accruing toward the next scored window.
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Moloco positions itself as the machine-learning layer behind performance advertising and retail media, built to replace manual, rules-based ad buying with models that price and place ads automatically at scale. Public conversation about the brand is early rather than absent, showing up mainly as industry-event conversation among performance-marketing and media leaders working through measurement questions, like moving CTV strategy beyond simple reach toward audience precision and channel performance. It is a quieter footprint in the broader GTM conversation so far, consistent with a business whose relationships run through advertiser and publisher partnerships rather than public-facing product discourse.
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Business Profile
Moloco was founded in 2013 by machine-learning engineers who had built AI advertising systems at companies like YouTube, and built its name, short for 'Machine Learning Company,' around bringing that caliber of AI-driven advertising to businesses outside the largest platforms. Headquartered in Menlo Park with offices spanning more than a dozen cities worldwide, the company has grown to roughly 940 employees and raised more than $215M to date. It now runs two lines of business, a performance-advertising platform for app publishers and a retail-media platform for marketplaces, an expansion from mobile user-acquisition roots into commerce media.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Moloco's agent-facing surface today is its Ads API, which gives programmatic access to create, launch, and analyze advertising campaigns through token-based authentication rather than the platform UI. Underneath it, the CARA decisioning system already runs autonomously, retraining continuously and pushing model updates every two hours to price and place ads without manual intervention. Moloco has also published research tracking how AI shopping agents are starting to influence purchase discovery, pointing to where its own agent-facing build-out looks headed next.
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