Overview

Ava is the world's most advanced proctoring model.

It’s purpose-built for AI interviews, assessments, and exams, with a core focus on detecting cheating.

The model was trained on over 30,000 expert-labeled data points—drawn from real interviews and cheating patterns—by top-tier recruiters.

What makes Ava Different?

Multimodal Awareness

Ava fuses facial cues, voice tone, screen activity, eye movement, and language patterns into one high-fidelity signal. This leads to better context and sharper detection.

Human-Calibrated Accuracy

Built on thousands of expert-reviewed cases, Ava exceeds human reviewers. It minimizes both false positives and false negatives.

Interpretability, Not Black Boxes

We built Ava with transparency in mind. You can view our model training process and results here (coming soon)

Diverse dataset

We’ve validated Ava on hundreds of demographic groups worldwide. Tests covered rural and urban users, a spectrum of accents, non‑native speakers, all age brackets, both sexes, and a wide range of subjects.

Use cases

AI Interviews

Proctoring result

35% (Likely cheated)

Our proctoring model analyzes tab switches, screen overlays, AI-detected behavior, eye/face movement, and more to generate a proctoring score. A score above 70% suggests the candidate likely did not cheat. If it's below, proceed with caution.

Professional Certification & Licensing Exams

Proctoring result

90% (Honest interview)

Our proctoring model analyzes tab switches, screen overlays, AI-detected behavior, eye/face movement, and more to generate a proctoring score. A score above 70% suggests the candidate likely did not cheat. If it's below, proceed with caution.

Other use cases may be SAT exam monitoring, university online midterms, Government & Civil Service Testing, professional upskilling programs, corporate compliance certifications and exams.