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Contextual, policy-based harmful content detection

Just like a human, our models can tell difference between image of dried mushrooms with the caption “making risotto tonight” and that same image captioned “let me take you on a trip tonight”. Unitary's detection models consider all signals together (caption, audio, and OCR) to analyse visual content in the context it appears.
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Offerings

Standard

Our leading off-the-shelf solution, delivering significant increases in accuracy, by taking into account tone, context, and setting.

  • Detect NSFW content, violence, substances, hate speech and more
  • Context-aware: understands tone, context and setting
  • Multimodal: takes all signals into account

Premium

Our most accurate solution, custom-fit to your detailed trust and safety guidelines.

  • Custom tuning that learns and implements your specific policy
  • Context-aware: understands tone, context and setting
  • Multimodal: takes all signals into account

Open source: Detoxify

Our mission at Unitary is to create a safer internet for everyone. We created Detoxify with this in mind.

An open source Python library that identifies comments containing toxic language across six languages.

I hate you
Compute
Computation time on cpu: cached
0.951
toxic
0.138
insult
0.039
threat
0.024
obscene
0.021
identity_hate
0.008
severe_toxic

Transform the economics of manual Trust and Safety tasks

Discover how Unitary's team of AI agents and human experts deliver precise moderation at a fraction of the cost—book your product demo today.