Powering frontier AI with human expertise.
Proffeta pairs practicing domain experts with AI research teams, turning hard professional judgment calls into the calibration data models can't get anywhere else.
Our approach to expert judgment and data quality
We turn expert judgement, context and real-world experience into the high-quality data advanced AI needs to improve.
Good judgment needs the right conditions.
An expert working alone, without context or feedback, produces weaker signal than the same expert working inside a system built for it.
Four things we build into every project.
-
Context persists.
Experts understand the model, the domain and why the work matters before making a judgement.
-
Feedback closes the loop.
People see how their previous work performed and use that signal to improve the next cycle.
-
Teams sharpen judgement.
Small, persistent groups surface disagreement, review difficult decisions and build shared standards.
-
Real work creates new signal.
The strongest signal emerges from how experts solve real problems in their field.
Put your judgement to work.
-
01
Work with context.
Understand the model, the goal and the domain before making a judgement.
-
02
Review hard calls together.
Compare perspectives, surface disagreement and help define what a better answer looks like.
-
03
Improve with every cycle.
Use feedback and accumulated project experience to produce stronger signal over time.
You know your field. Help AI understand it.
Bring your experience to the Proffeta contributor network.
Apply as an expert