LILT vs Localize

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.

Localize is a translation management platform from Localize Corporation, a San Francisco company backed by Techstars. Instead of exporting strings into files, you add its JavaScript library to a website or web app; Localize detects text automatically, including dynamic content rendered by React and other frameworks, routes it through translation and review, and publishes it back in real time.

Translations start with an AI first pass from large language models, and human reviewers then edit in context on the actual page. Teams get glossaries, translation memory, approval workflows, role-based permissions, audit logs and multilingual SEO settings. Integrations cover WordPress, Webflow, Drupal, Contentful, Zendesk help centers and ReadMe docs, plus libraries for React, Python and Django. Pricing is no longer published: plans are quoted on content volume, pageviews, languages and workflow needs, after a 14-day free trial without a card.

Localize fits SaaS companies localizing a marketing site, logged-in web app and help center together without asking engineers to maintain resource files. It is less suited to native mobile apps managed through string files. Weglot is simpler and publicly priced for marketing sites, Lokalise is stronger for developer file-based workflows, and Smartling targets large enterprises with managed translation services.

Buying tip: because prices are quoted, collect monthly pageviews, target languages and estimated word count before the sales call, and ask how AI translation volume and human review are billed.