Ox helps people make high-quality judgments faster and more reliably

Why use Ox?

Traditional assessment processes suffer from inefficiencies, bias, and noise.

AI can help improve how people make judgments but adoption faces numerous barriers.

  • Making judgments is a complex process that usually take place inside people's heads or in unstructured formats.

  • Subjectivity and disagreement are typical — there is often no clear right answer.

  • The lack of transparency and inattention to outcomes makes it hard to identify good judgments and learn from faulty ones.

  • Human judgment is important. People don't want to surrender control over decisions to black box AI.

Ox’s structured approach to judgments is one that has been embraced by decision scientists, behavioral economists, and intelligence professionals as the best way to combat bias and noise, make more accurate predictions, and integrate technology into judgment-making processes.

Ox helps users
fight bias and noise

Noise, or unwanted variability in professional judgments, has been found to have detrimental affects across many fields, including medicine, law, hiring, and intelligence analysis.

Ox frameworks help simplify complex judgments, making the processes behind them transparent, transferable, and easily trainable.

Ox takes the headache out of collaborative decision-making—identifying points of agreement and disagreement to remove back-and-forth and streamline the path to a decision.

Ox builds confidence in decisions by documenting their contributing factors, identifying gaps, and limiting the impact of bias and noise.

Ox proactively identifies opportunities to make better judgments and makes smart suggestions aimed at improving analytical and decision-making processes.