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Why LingStack?
Our AI-powered matching tool scores contextual relevance between thousands of podcast ads and episodes in seconds.
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Instantly identify the most relevant inventory for any campaign with measurable data. Control weights like embedding similarity, CPM, and avg listen time to tune your campaign to perfection.
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All through a simple prefix.
Target at Scale
LingStack shortens the process of contextually optimizing flights from hours to seconds (or milliseconds for RTB), allowing you to find and deploy the best possible placements for your campaign at the episode level.
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Achieve the highest possible ROI & yield.
Technology Agnostic
Every element in our stack is replaceable...even the scoring model itself. No matter what new tech is on the horizon, we're ready to implement it.
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Plus, we've got plenty of next-level AI tools on our roadmap that no one else is building.
Quality Assurance
Harness the most capable machine learning and AI-powered podcast targeting system on the market: Vector to Vertical (V2V).
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Analyze contextual relevance at the most granular level possible. At scale.
Made for Major Platforms
LingStack is specifically designed for the podcast industry's biggest players.
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As an advertiser, agency, or DSP operating at massive scale, you can't afford to waste ad dollars due to oversight.
Our Vision
Right now, podcast consumption outpaces ad spend by a factor of 4.5x,
a gap of $10.5 Billion.
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Outdated systems and practices are preventing actors in the podcast advertising space from earning what they're worth.
That's why LingStack is creating technology and pipelines that are specifically designed to close the ad spend gap in the podcasting industry.
Seamless Integration
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