Profila
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Why now, and the Large Meaning Model.
Why now
Signal collapse. Every quarter strips the signal AI learns from.
Agentic arrival. Agents transact for customers in 18–24 months. No consented rail exists.
LLMs hit the ceiling. Public text is finite. The next model needs consented signal.
Profila arrived. Twenty years of research converged. The market is ready.
The reveal
Born from billions of signals. Matched with content. Trained with a human click. Trained on consent — not scraped from the web.
LLMs have the answers.
The LMM understands the question. The need. The desire. The intent. The meaning.
The LMM in four dimensions
1 · What it is. A foundation model trained on declared intent — intent → response → outcome triples.
2 · What it does. Predicts what a customer wants, why, and what they’ll choose. With consent attached.
3 · Why defensible. The training data exists only inside Profila. Reproducing it means rebuilding the rail.
4 · Why Series A. AdTech prices the seed. The LMM prices the Series A — infrastructure economics.
The economics
Customers create the signal. Brands deliver value. Both train the model. Contributors share the profits.
Direct
Brands → connected customers. CPC, CPA, qualified-lead fees.
Programmatic
Agencies, DSPs, SSPs via OpenRTB 3.0. Outcome pricing.
Agentic
Brand AI agents bid on intent directly. No incumbent rails.
Subscription
Brands subscribe to deepening consented data. CRM/CDP/loyalty.