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ScreenGeni.us provides enterprise-grade AI discovery infrastructure for media and commerce platforms. We embed taste intelligence, semantic search, archive discovery, and conversational modalities into publishers, streamers, broadcasters, audio platforms, cultural institutions, ecommerce, and more so audiences can discover the right catalog result in under two seconds. We also have a standalone product for publishers called T-Vroom (a streaming guide).
We size the market three ways, all from Grand View Research, because each answers a different question.
The vertical: AI in media and entertainment is $43.1B in 2026, rising to $159.3B by 2033. That is the total spend by the publishers, streamers, music and audio platforms we sell to on AI across production, distribution and audience.
The product category: recommendation engines are $9.3B in 2026 and $33.2B by 2030. This is the budget line we actually replace or extend, since every media and commerce company already pays for search and recommendations that match keywords and past clicks rather than taste and intent.
The delivery model: AI-as-a-service is $31.1B in 2026 and $256.8B by 2033. ScreenGeni.us is sold this way, as a licensed platform with metered usage rather than a custom build, so this is the frame buyers use to budget for us.
Our serviceable market is the overlap: media and commerce companies with large catalogs or archives, a discovery problem their current stack cannot solve, and a willingness to pay $40-120K a year for a platform license after a $20-30K pilot. We enter through media, where our relationships and proof points are strongest, and expand into adtech rails, commerce and cultural institutions only as those rings are earned, not assumed.
Taste is the new search. The universal navigation layer for human curiosity.
Enterprise-grade discovery infrastructure for media and commerce.
Internal discovery for publishers and media across large datasets.
Elastic, LLM, semantic, keyword, and other discovery for companies to turn archives into products.
Ability for conversational search to discover what customer is in the mood for.
An AI-powered streaming guide – v2 in process.
Taste intelligence to explore and learn about MoMA's art collection of 100,000 works.
Demo for the CEO and CTO.
Newsroom-facing agent that helps a small staff find what they have already covered.
Learns a user's taste fast by contrast, sharp on day one before any behavior history. Find what you're in the mood for in <2s.
Hosted API for audience-facing search and recommendations over a platform's own archive or catalog.
AI streaming guide for questions like “something like Slow Horses but American, on a service I already pay for.”
Matches on meaning across audio, text, structure and vibe, not keywords.
Refines in natural language and images and re-ranks without restarting the query.
Two-time founder; ex-Google, Moody's, CBS and CNN; Emmy-nominated science and technology correspondent and author. Owns vision, customer relationships and GTM. Full-time today and after close.
Ex-Moody's, Bank of America and Parser. About 15 years of AI/ML across enterprise with a quant background. Owns the metadata, retrieval and multimodal stack. 20 hrs/week today, moving full-time in Q4 2026.
Request access to the full data room to review financials, documents and due diligence materials.