For performance marketers moving budget into TV, MNTN is a self-serve connected TV advertising platform that lets teams plan, buy, and measure CTV campaigns with the same performance metrics and control as paid social and search.
Presence & Market Position
#119 of 146
Traditional SaaS Going Headless
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
MNTN is working to establish connected TV as a channel marketers can plan, buy, and measure with the same precision as paid social and search, positioning itself as the performance layer for streaming television. Its own material features board and sales leadership additions from consumer and platform companies, alongside integrations linking TV campaigns to CRM and email-and-SMS systems, signaling a push to connect TV spend to downstream revenue data. External conversation includes the CEO's public commentary on AI infrastructure and data center buildout, a sign of visibility beyond the core advertising category, alongside occasional mentions of the brand in broader go-to-market and partnership circles.
Funnel
Zeta
AppsFlyer
Invoca
SupermetricsCisco, Canon, Red Lobster, Morgan & Morgan, Talkspace, Gozney, National University, Birdy Grey
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Business Profile
MNTN has moved from venture backing into the public markets, completing its IPO in May 2025. The business serves growth brands, enterprise advertisers and agencies through self-serve connected TV buying and measurement. Its current commercial emphasis connects that advertising platform to marketers’ existing systems: recent announcements cover customer-data activation, app attribution and CRM integrations. QuickFrame AI adds video creation to the offering, so the company now sells tools for producing TV creative as well as buying and measuring its distribution. [IPO filing](https://www.sec.gov/Archives/edgar/data/1891027/000110465925052408/tm2413466d27_8k.htm), [company announcements](https://mountain.com/about/press-announcements/).
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
MNTN's AI investment so far centers on the campaign engine itself: automated bidding that processes behavioral signals in real time, and QuickFrame AI, which generates TV-ready video ads from a brand's website and prompts. Programmatic access exists through an API built for connecting campaign data into BI and attribution tools, documented in its help center. No MCP server, SDK, or CLI is on file yet, so external agent integration sits earlier than the platform's internal AI tooling.
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