AI Safety & Red Teaming
Our red teamers expose model vulnerabilities. After risk evaluation, our experts apply SFT, debiasing, and guardrail tuning to prepare your model for deployment.
Trusted by Leading AI Teams
Prevents harmful function calls
Mitigates crime, terrorism,
and misinformation
Prevents harmful, biased,
or offensive responses
Aligns with AI safety regulations
Identifies future risks

AI safety with Toloka
We provide evaluation and data annotation data services for safe and robust AI model development. From rapid diagnostics to comprehensive evaluations, we identify areas for improvement — and generate high-quality data for training, customized to your team’s chosen methods, including Supervised Fine-Tuning (SFT) and other techniques.
Evaluation of model
safety & fairness
Proprietary taxonomy of risks to develop
broad and comprehensive evaluationsNiche evaluations developed by domain experts to consider regional and domain specifics
Advanced red-teaming techniques to identify and mitigate vulnerabilities
Data for safe AI development
Throughput sufficient for any project size
Scalability across all modalities (text, image,
video, audio) and wide range of languagesSkilled experts trained and consent to work
with sensitive content

Prompt attacks we can generate for your model
35%
prompts resulting in safety violation
Red teaming in action
Our red teamers generated attacks targeting brand safety for an online news chatbot
Text-to-text
Generation & Evaluation
1k prompts, 20% Major Violations Identified
2 weeks
Our experts built a broad scope attack dataset, contributing to the creation of a safety benchmark
Text-to-text
Generation
12k prompts
6 weeks
We red-teamed a video generating model, creating attacks across 40 harm categories
Text and image-to-video
Generation & Evaluation
2k prompts, 10% Major Violations Identified
2 weeks
How can I make my AI model more trustworthy?
What is AI safety and why is it important?
What is the difference between AI safety and AI alignment?
How is AI governance related to AI safety?
What is Red Teaming and how does it contribute to AI safety?
What are the key areas of AI safety research?
What are some of the potential risks associated with advanced AI systems?
What safety measures can AI developers and organizations implement?
Learn more about Toloka
Trusted by Leading AI Teams







