FrontierPersuade

Backed byAccel

The Data Lab for the Subjective.

2B+ people global reach. 50,000+ channels. Run experiments across audiences and languages through Quander’s existing distribution network.

Models submit writing or assets through our endpoints. We distribute the content organically with diverse profiles, measure how people respond, and return clicks, click-through rate and engagement signals, alongside read time and conversions where tracking is configured.

Example publisher placements 10,000+

Bloomberg
The New York Times
The Atlantic
Salon
IFLScience
BabyCenter

Example learning environments

#SUBJECTIVE AREALEARNING OBJECTIVEReal Human Reward Signals
01

Headlines

WRITING

What earns attention?

Conversions · Read time · CTR
02

Long-form writing

WRITING

What keeps people reading?

CTR · Read time · Engagement
03

Fiction Stories and Plots

WRITING

What gets people to share it?

Shares · Read time · Reading completion
04

Image aesthetics

VISUAL

What resonates visually?

Conversions · Read time · CTR
05

Creative combinations

MULTIMODAL

What moves people to act?

Engagement · Completion · Conversions
06

Three.JS Motion Video

CODE

What videos are “good”?

Watch time · Completion rate · Conversions
THE PROBLEM

We turn subjective areas into quantitative data

We give models a way to learn in areas where quality is hard to quantify without interaction, by turning millions of real-world human responses into measurable feedback.

From writing to image aesthetics to anything subjective, our endpoints are built for learning: connecting model outputs to quantitative responses from millions of humans that teams can use in evaluation and reinforcement learning.