---
title: "Official Release: Yeco-PII v1.0 · The Most Powerful PII Model, Built by Us · YecoAI Blog"
description: "278M-parameter neural model for PII detection and anonymization. Native Italian, 6 European languages, average F1 0.966."
url: "https://yecoai.com/en/blog/yeco-pii-release"
locale: "en"
published: "2026-09-10"
updated: "2026-09-29"
author: "Marco Nasi"
category: "Release"
---

# Official Release: Yeco-PII v1.0 · The Most Powerful PII Model, Built by Us

278M-parameter neural model for PII detection and anonymization. Native Italian, 6 European languages, average F1 0.966.

*Marco Nasi, Founder & CEO · 10 Sep 2026 · Release*

## Official Release: Yeco-PII v1.0 · The Most Powerful PII Model, Built by Us

## What We Are Releasing

## The Numbers Speak for Themselves

## Multilingual F1 Comparison, 6 European Languages

## Language Coverage Radar

## 5.4× Smaller. Still Stronger.

## Contextual Intelligence · Unique on the Market

## Built for Production, Not Just Benchmarks

## Availability: Two Ways to Get Yeco-PII

## Enterprises, available today via API

## Everyone else, official APIs are days away

## This Is Only the Beginning

## Explore More

Today, September 10, 2026, we are officially releasing Yeco-PII v1.0, the most powerful PII detection and anonymization model on the market. Built entirely in-house, from research to training to engineering. This is not just a product launch: it is the proof that YecoAI can do A LOT.

Yeco-PII v1.0 is a neural model that detects and anonymizes personal data (PII) in business documents. It understands personal data from context, including names and surnames it has never seen during training, without regex, manual rules, or validation formulas.

We benchmarked Yeco-PII on real-world rows never seen during training, with independent third-party annotations (Ai4Privacy source). Same test for every model. The result: Yeco-PII wins on all 6 languages, with gaps of 20 to 38 F1 points.

Yeco-PII v1.0 (278M) vs. rizzo-pii (0.3B) vs. OpenAI Privacy Filter (1.5B)

F1 score coverage across Italian, English, French, German, Spanish, and Dutch

OpenAI's Privacy Filter carries 1.5 billion parameters, 5.4× ours, and requires triple the memory. The extra weight does not translate into capability on European languages. Why? Because detection is not a brute-force problem. Checksum networks (mod-97 for IBAN, Luhn for cards) only catch what a formula can validate.

Names, addresses, organizations, and dates have no checksum. There, real learning is required, and that is exactly where competitors lose 20-30 points. Yeco-PII is 100% neural: it learns from context.

Yeco-PII distinguishes a date of birth (to censor) from a regulatory reference date (to keep), and recognizes never-seen names thanks to context: "Mr.", "born in". It separates birth dates from legal dates with dedicated tags, defines censorship policies in JSON or natural language applied instantly, and covers Italian-specific entities (tax IDs, VAT numbers, cadastral data) that generic models simply do not see. None of the competing models offer this capability.

Enterprise companies can start testing Yeco-PII right now through our API, evaluating it on their own real documents before committing. When ready, the model is licensed with a one-time payment and delivered in standard HuggingFace format for direct integration into their pipeline, running on their own infrastructure, with no recurring costs.

The roadmap is already set: the official Yeco-PII APIs will be released in the coming days, opening the model to individual developers, professionals, and smaller teams. The launch is imminent: watch this space.

Yeco-PII v1.0 remains proprietary YecoAI software. Reuse, redistribution, and resale without contract are prohibited. Full technical documentation is reserved for licensed clients.

We want to be clear about what this release means. YecoAI is a small Italian company. No venture capital, no research army of thousands. And yet we built the strongest PII model on the market, measured on independent benchmarks, on real data, in 6 languages.

This release is scaled as only the beginning: the demonstration that YecoAI can do A LOT. The same methodology, compact models with rigorous evaluation and real-world focus, is already being applied to the next challenges. If a 278M-parameter model built in-house can beat a 1.5B giant, imagine what comes next.

"We didn't set out to compete. We set out to win. Yeco-PII is the proof that a focused, research-driven team can out-engineer players with 5× the resources. This is only the beginning of what YecoAI can do."

- Marco Nasi, Founder YecoAI

Official public APIs launch within days, stay tuned.

YecoAI · support@yecoai.com · Full technical documentation reserved for licensed clients.

- 278M parameters: 1.1 GB, standard HuggingFace format, integrable anywhere
- 24 protected data types: names, tax IDs, VAT numbers, IBAN, credit cards, emails, phones, birth dates, addresses, ZIP codes, provinces, organizations, amounts, document references, cadastral data, license plates, and more
- Native Italian: not a translation afterthought, the language it was born in
- Certified on 6 European languages, with particularly strong multilingual support for English
- \~3,700 characters/second on CPU: a 100-page document in about a minute, no GPU needed
- \~1 GB RAM at scale: runs on edge devices, VMs, and standard CPU instances
- Standard HuggingFace format: drops into any existing pipeline

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