Home / About

A data engineering team behind frontier AI

databurger is a training data platform for robotics, content safety and related domains. We believe data quality comes from executable standards, measurable QA and traceable processes — not from headcount.

What we do

We turn data preparation from project-based manual outsourcing into a reusable, auditable engineering capability, combining first-party collection and labeling with standardized data products.

Why we do it

The bottleneck for frontier models has shifted from algorithms to data. Most supply lacks standards, QA records and compliance statements, leaving buyers unable to judge usability.

Our principles

No fabricated customer endorsements. No unverifiable quality claims. Distribution limited to two tiers with no entry fees. Personal data is always de-identified and logged.

Milestones

From in-house collection projects to standard data products.
2026 Q1

In-house collection team formed

First robotics collection site established, with multi-camera synchronized capture and on-site QA.

2026 Q2

Labeling and QA workbench launched

Unified multi-modal tooling and QA rules, introducing honeypot sampling and multi-annotator arbitration.

2026 Q3

Dataset store and open API released

Standard datasets listed with multi-format delivery and QA reports; open API v1.0 shipped.

2026 Q4 (ongoing)

Enterprise portal and developer ecosystem

Enterprise sub-accounts and role permissions, requirement estimation, project boards, expanded SDKs and tooling.

Capabilities & compliance

Data security and compliance are entry requirements for a data business, so we build them item by item.

Data security

Encryption in transit, access control and retained operation logs; automatic de-identification of sensitive information and traceable watermarks on delivered files.

Compliance processes

Identity verification and anti-fraud, a content moderation queue, minor protection mechanisms and a data deletion request workflow.

Quality system

Skill-based admission, dynamic sampling, honeypot checks, multi-annotator arbitration and automatic batch-level QA reports.

Certifications

Security testing and penetration test records are published in the compliance centre as they complete; unfinished items are explicitly marked "in progress".

Contact us

Business

Data procurement, custom collection and labeling, dataset licensing
global@aidataburger.com

Support

API integration, delivery issues, account and settlement questions
support@aidataburger.com

Compliance & reporting

Data compliance enquiries, infringement and content reports
Compliance centre →