LXT LLM Red Teaming and Safety Evaluation
Human-led adversarial testing of LLMs for jailbreaks, toxicity, bias and hallucination.
Offered by LXTRed teaming and evaluation
About LXT LLM Red Teaming and Safety Evaluation
LXT offers LLM red teaming and safety evaluation as a service, described as helping users test large language models for real-world risks before launch or scale. LXT was founded in 2010 and is headquartered in Canada, with presence in the United States, UK, Egypt, India, Romania, Turkey, Germany and Australia.
The service tests for bias, toxicity, hallucinations, jailbreaks, compliance failures, and inappropriate outputs based on the customer's safety goals. LXT can also run a customer's own internal red team prompts, policy test sets, or safety evaluation frameworks. LXT states that it supports AI teams in high-stakes, user-facing, or regulated contexts. Its global teams test model behavior in 1,000+ language locales to detect risks that surface only in specific regions or cultures.
Drafted from lxt.ai · not yet confirmed by LXT
What they do
LXT runs red teaming projects on large language models with trained human evaluators. Tests cover jailbreaks and prompt injection, whether the model refuses unsafe prompts, bias and fairness, toxic and harmful outputs, and hallucination, and LXT will also run a client's own red team prompts or safety frameworks. It says its teams test in 1,000+ language locales to catch risks that surface only in particular regions or cultures.
Each project runs through scoping, reviewer selection, a pilot to calibrate guidelines, full evaluation, secondary review, and delivery of anonymized results with risk tags, response traces and analyst commentary. Work runs on ISO 27001 certified platforms, with secure-facility options for high-risk evaluations.
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