---
title: "Data Collection and Assurance Platform | YPAI"
url: https://ypai.ai/platform/
description: "Every modality on one platform. A session is specified, captured, measured, annotated, bound to its rights, signed, delivered and verified in your browser."
source: "src/copy/routes (route /platform/)"
---

# We built the system behind the data.

> Every modality on one platform. A session is specified, captured, measured, annotated, bound to its rights, signed, delivered and verified in your browser.

Every modality on one platform. Every accepted asset carries the evidence that proves why it passed.

- [Scope a collection programme →](https://ypai.ai/contact-us/)
- **Source qualification**: VERIFIED
- **Collection conditions**: CONTROLLED
- **Technical requirements**: 6 / 6 PROVEN
- **Consent and agreements**: VALID
- **Automated quality control**: PASSED
- **Annotation and review**: SIGNED
- **Permitted use**: CONFIRMED
- **Dataset lineage**: COMPLETE
- **Delivery integrity**: VERIFIED
- **Withdrawal path**: ACTIVE

## Specification

## Capture

## Quality

## Annotation

## Agreements and rights

## Record

## Dataset and delivery

## Feedback

## Every modality

## Your requirement, as a control on the floor.

The brief becomes a set of controls. They run on the participant's device before a take starts and again on every upload. Pick a requirement and the floor shows where it is measured.

## One collection mesh. Every modality, measured at capture.

The measured noise floor is 9.4 dB above the project limit. Move away from the ventilation source and repeat the five-second room test.

## Measured four ways. Each stands alone.

a reviewer sees the reading, the threshold and the evidence

Four banks read every upload. Each keeps its own reading and its own digest. A failing control stays visible beside a passing one.

### Deterministic

- Schema, sample rate, effective bits, frame rate, checksums, required streams, timestamps.

### Statistical

- Coverage of the programme against its target, and agreement between annotators.

### Learned

- The transcript and the detector in this tab; the scene read by a model on the EU profile.

### Cross-modal

- Speech against mouth motion, LiDAR against camera, timestamps against the manifest clock.

## Labelled by people. Checked by models. Both on the record.

Boxes, tracks, masks, cuboids, transcripts, entities and preferences, made in YPAI's own review console with model-assisted first passes. The model's reading is marker A, the annotator's is marker B, and the disagreement between them is the instrument. Two of the readers run in your browser.

asset · project instructions · relevant evidence (4) · pseudonymous reference

full identity · home address · contact details · unrelated demographics · other projects

Two annotators decided. You are the third.

## Consent where it was given. Rights where they are used.

Twelve agreements and four statements are bound to the session at capture, on the contributor's own device. Every later use is a question put to those rights, answered with a decision and a reason, and any statement can be withdrawn with its impact traced.

Signed on the contributor's own device

the statements are hashed at signing · the hashes travel with the asset

Earlier model influence outlives the source file. Retraining, dataset reconstruction, rollback and unlearning are separate actions, each recorded on its own.

## One record. Every decision on it.

Everything the five stations above did to a-013 is on one signed record: the readings, the labels, the agreements, the decisions you made on this page. Change any of them and the digest changes with it.

Attested: collection, QC, annotation and review are signed. VDA-4 requires device attestation, which this specimen lacks.

## Constraints in, a lockfile out. Verified where it lands.

A dataset is a query over records. Change a constraint and the field re-lays; the lockfile pins what was included and why. The delivery carries a verifier your own team runs on its own machines.

## A measured miss becomes the next brief.

Collect 300 frames of people seen from rooftop and first-floor viewpoints at dusk; accept a frame when the person is fully inside it and a held box exists.

## The modality changes. The controls governing acceptance hold.

the same nine stations · specification, capture, quality, annotation, agreements, record, delivery, feedback

- When performance depends on specific cohorts, environments, behaviours, languages or failure cases.
- When acoustic conditions, speaker profile, language, accent, recording chain and transcript quality must meet defined criteria.
- When genuine, manipulated and generated media must be collected or evaluated under controlled conditions with traceable provenance.
- When multiple sensors, timestamps, human actions, environments and task outcomes must remain aligned.
- When sourcing, qualification, privacy, rights and delivery requirements differ across languages and jurisdictions.
- When your team needs to know whether an asset is technically useful and whether it may be used for the intended purpose.

## High-specification AI data, controlled and verified from source to delivery.

- [Scope a collection programme](https://ypai.ai/contact-us/)
- [Scope a pilot →](https://ypai.ai/pilots/)

Built by YPAI. GDPR-native. Verified asset by asset.
