Evaluation & labeling

Eyes to find the boundaries of your medicalhealthchemistrybiology model.

Our team previously delivered projects for 

360° evaluation of your AI models with high precision.

Gain deep insights into your model's performance, uncover hidden biases, and enhance decision-making with rigorous evaluation.

1.
Dataset Validation & Bias Detection
Identify hidden biases in training data.
2.
Custom Metrics
Track model's flaws and misbehavior with custom metrics tailored for you.
3.
Three-Level Benchmarking
We go beyond general accuracy, diving into subcategories and root causes.
4.
Full-Cycle RLHF with Doctors
Engage top medical specialists to review your model's outputs against a custom rubric.

High-quality data labeling.

Access expert-labeled, AI pre-labeled, and synthetic data with customizable workflows tailored to your use case. Fast.