LILT vs Localazy

LILT is an enterprise translation and localization platform from San Francisco, founded in 2015 by Spence Green and John DeNero, NLP researchers from Stanford and Berkeley. It began with adaptive machine translation that learns from each linguist edit and has since become an agentic AI platform that routes content through AI models and, where needed, human subject-matter experts. Customers include Canva, Intel, Lenovo and US defence agencies.

The platform is split into modules: Translate for projects, Assist for AI agents that automate review and workflows, Verify for accuracy checks, Connect for integrations and an MCP server that brings LILT translation into ChatGPT, Claude and Gemini. It connects to more than 100 systems such as Contentful, AEM, Salesforce and Zendesk, and can run LILT's own models or a customer's LLM. Certifications cover SOC 2 Type II, ISO 9001 and ISO 17100, with private, on-prem and air-gapped deployment. Business, Enterprise and Government plans are all quote-based.

LILT fits large companies and public bodies that translate high volumes of product, support and marketing content and need quality guarantees or strict data control. It has no self-serve plan or public pricing, so it is overkill for small sites. Smartling is a broader translation management system with a vendor marketplace, Phrase offers self-serve TMS tiers, and DeepL is the cheap option for raw machine translation without human review.

LILT raised a Series D in mid-2025. Buying tip: ask how human review is priced versus platform fees, since MCP usage is quoted separately.

Localazy is a localization management platform from a Czech company, built mainly for developers and small product teams who want to translate apps and websites without a heavy process. Its distinctive feature is ShareTM, a shared translation memory pooled across projects, which can automatically pre-fill common strings such as button labels and system messages in many languages.

Teams upload source files through the CLI, API or integrations, and Localazy supports common formats for Android, iOS, Flutter, JSON-based web frameworks, gettext and more. Translations can come from ShareTM, machine translation engines such as DeepL and Google, in-house contributors, community volunteers or Localazy's own professional translation service, with review workflows, glossaries and screenshots for context. Plans are tiered by the number of source keys and features, starting with a free plan for small projects and moving to paid plans for growing products.

Localazy suits indie developers, startups and open-source maintainers that want affordable localization with minimal setup. It has fewer enterprise controls and integrations than Lokalise, Phrase or Crowdin, which serve large localization teams with complex workflows, and Tolgee and Weblate are open-source alternatives for teams that prefer self-hosting. For a small app expanding into a few markets, the shared memory and machine pre-translation can noticeably reduce translation cost and effort.