Artifact
Frontier models have become smarter than their average data labelers.
We create data that pushes machine intelligence further beyond.
"People have too inflated sense of what it means to 'ask an AI' about something. The AI are language models trained basically by imitation on data from human labelers. Instead of the mysticism of 'asking an AI', think of it more as 'asking the average data labeler' on the internet."
What We Do
Quality
- <3% defect rate vs industry's 10-40%
- Adversarial review between experts
- Full chain of custody on every artifact
Expertise
- Problems models cannot solve
- Data not found on the open web
- Correctness through consensus
Quantity
- 10 artifacts → 1,000 variants
- Quality preserved through quantity
- Human expertise, machine scale
Pricing
How It Works
Explore
We run your evals to find the capability gaps you care about.
Exploit
We specify the minimal dataset for maximum impact.
Create
Experts produce. Peers break. Consensus wins.
Repeat
Report delta on your eval. No movement, no shipment.
Defect Rate Reality
The industry says they ship 10% defects, but they don't actually know, and neither do you. We ship <3%. And we prove it.
Every batch ships with audits and reasons — no hand-waving. Every claim verified. Every number defensible.
Why This Matters
The internet is exhausted. Models degrade when trained on data below their capabilities. No data is better than bad data, good data better than no data.
We are a platform for networks of experts to come together and create the best data, together.
Background
We are a team of former industry technical project managers, auditors, and expert labelers advised by great builders. We saw quality collapse at scale. And we are building the solution.
We are currently working with AI labs and data annotation companies, with limited availability for additional engagements.
If the above speaks to you, reach out below.