Define success
Map product tasks, languages, user groups, harm areas, quality dimensions, and decision thresholds.
LLM solutions
Multilingual model evaluation
Task-grounded benchmarks and human evaluation for quality, safety, cultural fit, and language-specific failure modes.
The challenge
A single aggregate score can look healthy while a model fails the languages, intents, or risk categories that matter to your product.
We design evaluation around real product behavior and representative language communities. Automated measures are combined with calibrated human judgment where meaning and cultural context matter.
Results are segmented so product and model teams can make release, routing, data, and adaptation decisions.
How we work
Evidence first. Decisions visible. Knowledge transferred.
We adapt the depth and sequence to your product stage, language scope, and internal team.
Build the evaluation
Create representative prompts, references, rubrics, evaluator guidance, and automated checks.
Turn results into action
Analyze failure patterns, compare systems, recommend interventions, and establish release gates.
Typical outputs
What your team can use.
- Multilingual evaluation framework
- Curated task and challenge sets
- Human-evaluation protocol and calibration
- Segmented results with model recommendations
Keep exploring
Related llm solutions services.
Bring us the brief
Make multilingual model evaluation move.
Tell us what you are building, which languages matter, and where progress is blocked.
Start the conversation