Lilt

LILT’s Supervised Fine-Tuning (SFT) offering is a data-production service for teams training AI models across multiple languages and domains. It is aimed at enterprise buyers who need reliable instruction-following, domain grounding, and safety data without losing localization quality.

According to its product page, LILT co-designs and operates SFT programs rather than acting as a self-serve model builder. Getting started appears to be sales-led: the page directs you to contact an expert or contact sales, and it emphasizes research-designed workflows, qualified workforces, and ongoing QA processes.

This is best understood as an enterprise data and localization service, not a general-purpose AI agent or chatbot. The strongest signal in the content is quality control: LILT highlights task design, multilingual normalization, calibration, agreement tracking, and drift detection to keep labels consistent over time.

A few details are unclear from the page, including exact pricing, supported model providers, and whether the system can be self-hosted. The page mentions identity and compliance controls, but it does not specify certifications or technical deployment options beyond a sales-led enterprise workflow. If you want a tool that autonomously completes multi-step agent tasks, this is probably not the right fit.