Why LILT for Read Teaming
Language and culture-aware risk discovery
Frameworks designed to surface failure modes that are invisible in monolingual testing.
Governed specialists for high-risk evals
Selective activation of niche domain specialists, backed by continuous monitoring and calibration.
Comparable, decision-grade outputs
Signals that can be tracked over time and used as launch gates, not ad hoc findings.
HOW ITS DONE
Overview
Red teaming isn’t just “finding bad outputs.” It’s building a repeatable system to measure, reproduce, and mitigate risk over time.
LILT helps teams operationalize multilingual safety evaluation within the model and deployment pipeline—so safety testing scales with the model, not against it..
What LILT tests
Safety and alignment behaviors across languages and domains.
Cultural and normative benchmarking to catch locale-specific interpretation failures.
Multimodal safety misinterpretation detection across text, image, and audio, including cross-modal misalignment
Adversarial prompting and jailbreak patterns that vary by language and region
The Problem We Solve
Safety behavior can change by locale, even when prompts are “equivalent.”
One-time red teams don’t catch drift, new jailbreak patterns, or rubric shifts.
Generic crowd and LSP testing produces inconsistent, non-comparable outputs
Results often can’t be reused, tracked, or integrated into model workflows
How LILT delivers
Reproducible Adversarial Systems
We design anchored adversarial suites and evaluation rubrics and autoraters that can be replayed across model versions, languages, and time
Continuous QA, drift detection.
Built-in QA, inter-rater monitoring, and longitudinal risk tracking surface regressions before they reach production.
Pipeline-native integration
LILT Integrates into existing evaluation and release workflows enabling ongoing monitoring, not just spreadsheet audits and QA
Ship globally with fewer surprises.
Multilingual models don’t fail loudly. They fail differently, quietly, and by locale.
LILT gives you the infrastructure to see those failures early—and the confidence to ship globally.