Transform your GenAI ambitions into production-ready models with end-to-end data labeling services. From niche domain experts to enterprise-scale project management, Kili delivers the high-quality datasets that train the AI models breaking new ground—on time and to specification.
Contact our Team.svg)
.svg)
.svg)
Our team of data scientists and domain experts are ready to deliver high-quality datasets for your most ambitious projects.
Access experts traditional providers can't source. From Lean 4 programmers and math olympiad champions to native linguists across 40+ languages, Kili recruits, tests, and manages the niche talent your project demands.
Move beyond generic benchmarks. Kili builds evaluation datasets tailored to your specific business objectives—combining domain expertise with automated testing to measure what actually matters for your model.
Every project is orchestrated by experienced ML engineers and data scientists who understand your technical requirements. From scoping to delivery, your team gets a partner who speaks your language—not just a vendor.
Datasets delivered in your preferred format, ready for immediate pipeline integration. Full documentation and audit trails included for compliance and reproducibility.
From frontier model training to enterprise fine-tuning, Kili delivers the data that makes AI work
Build reliable evaluation frameworks with deep expertise in generative AI applications. Measure improvements objectively and chart a clear roadmap for model enhancement.
Global AI teams leverage native language professionals and in-house linguists to build instruction-following datasets that ensure models perform consistently across languages and cultures.
Enterprises accelerate specialized model development with datasets built by verified industry experts—ensuring AI understands the terminology, context, and nuance of your field.
AI teams create custom evaluation datasets with domain expertise baked in, enabling objective measurement of model improvements and competitive analysis.
Trusted by data scientists, subject matter experts, and annotation teams to build high-quality, expert-level datasets securely.
