Focused, not sprawling
We are built around high-value expert data workflows, not a huge menu of loosely related services.
Trusted expert data for AI
Black Strap helps AI companies turn verified expert judgment into clear, structured, secure data. The next leap in AI quality will not come from more noise. It will come from deeper human judgment, better provenance, and more careful domain understanding.
Built from an Irish delivery mindset shaped by years in BPO, for teams that need human depth as much as model speed.
Verified experts with real-world judgment.
Structured into usable, evaluation-ready signal.
Delivered with security, provenance, and calm precision.
The internet taught AI facts. Human experts teach it judgment.
Why Black Strap
We are built around high-value expert data workflows, not a huge menu of loosely related services.
Identity, geography, qualification, and reviewer controls are part of the operating model from day one.
The output is structured human judgment for AI labs and high-trust teams, not generic task throughput.
The shift
AI teams now need more than scraped text and broad feedback. They need defensible judgment from people who actually understand the work.
Clearer inputs for evaluation, training, and product decisions.
Verified experts, audit-ready delivery, and stronger provenance.
Solution
Review outputs against real professional standards, not generic intuition.
Create feedback, answers, studies, and datasets where web data falls short.
Ship traceable, auditable outputs that product and safety teams can use.
AI labs offer
Understand how real professionals judge AI in live workflows.
Capture structured opinion on quality, risk, and workflow fit.
Turn expert input into practical scoring, findings, and decision-ready data.
Trust
ID, credential, and domain checks designed to prove expertise.
Encryption, least-privilege access, audit trails, and careful data handling.
Structured for GDPR readiness and high-trust, regulated workflows.
Founder edge
Black Strap is shaped by years in BPO and delivery operations. That matters because AI quality is not only a model problem. It is a workflow, trust, and execution problem too. The opportunity is to bring that rigor without becoming a broad, generic outsourcing machine.
For investors: read the investor brief.
Next step
Tell us the workflow, the trust requirement, and what success should look like. We will scope a commercially practical first engagement.