Tech

AI is optimizing against guesswork. Hypha provides ground truth.

The AI marketing wave is built on optimization: generative creative, agentic buyers, predictive audiences. But the attention economy still runs on platform-reported impressions, demographic estimates, and survey recall. Hypha closes that gap.

The old audience data stack was built for one TV in one room.
But the 90s are over.

Legacy media measurement was designed for one household, one living room, one television, and a family watching together. That world disappeared, but the measurement infrastructure failed to adapt.

Modern household with multiple screens showing various streaming services and social media
Living RoomDad streaming Sunday Night Football on the Samsung Frame OLED.
MobileTeenager scrolling TikTok on her iPhone 15.
GamingChild playing Roblox on an Amazon Fire HD Kids tablet.
UpstairsMom streaming Netflix on her iPad Air.

Hypha observes reality directly.

An end-to-end system for measuring human attention at the person level.

STEP 01

Recruit

Representative, consented, incentivized households matched to America's geographic, demographic, and device makeup.

STEP 02

Capture

Off-the-shelf capture devices running Hypha's patented identification methods observe what appears across screens and devices in the household.

STEP 03

Identify

Proprietary AI identifies content, ads, brands, viewers, context, and attention events.

STEP 04

License

Structured attention data is delivered to customers through enterprise data products and APIs.

Not modeled.Not inferred.Not survey recall.Not platform self-reporting.Observed.

This cannot be copied with software alone.

Most companies can buy data. Some can build models. A few can recruit research households. Hypha is different because the barriers compound.

01 · LEGAL

Patented collection architecture

Three issued U.S. patents cover core methods for content identification, ad and brand detection, and household attribution.

02 · ACCESS

Deployed in consented households

Hypha captures screen-level reality directly from real homes using off-the-shelf devices running proprietary software. The moat is access to thousands of consented, incentivized households, not the hardware.

03 · TEMPORAL

Six years of longitudinal training data

Human attention cannot be scraped after the fact. Every household-month compounds the dataset. A new entrant starting today is already years behind.

04 · COMMERCIAL

Enterprise validation

NBCUniversal and Comscore are not theoretical customers. They are proof that major media measurement buyers are already moving toward Hypha's architecture.

IP protection

Patent No. 10,932,002Trigger-based content identification across household screens and devices.
Patent No. 11,570,513Machine learning-based ad, logo, and brand detection.
Patent No. 12,238,372Person-level household media consumption attribution across devices.

Who needs ground truth?

Hypha provides the missing signal for the AI companies building the next generation of marketing and media tools.

AI creative optimization (like Pencil, Omneky)AI media buying (like Haus, Prescient)E-commerce personalization (like Fermat)Recommendation systemsVideo model trainingBehavior predictionAttribution modelingEntertainment strategy