LILT vs Phrase

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.

Phrase is an enterprise localization platform formed when Memsource, a Czech translation management company, acquired the German software localization tool Phrase in 2021 and adopted its name. The Phrase Localization Platform covers both sides of localization: software strings for apps and websites, and documents, marketing content and other files that pass through translators and language service providers.

Phrase Strings manages keys for web and mobile apps with Git, CLI and API integrations, in-context editing and over-the-air updates for mobile. Phrase TMS handles document workflows with translation memory, termbases, machine translation, quality checks and vendor management. Phrase Language AI routes content to the most suitable machine translation engine and uses AI for quality estimation, and Orchestrator automates multi-step workflows. Integrations connect CMSs, code repositories, design tools and support platforms. Pricing is set per product and edition, with self-serve tiers for smaller teams and custom enterprise agreements.

Phrase fits companies localizing several products into many languages with a mix of internal reviewers, freelancers and agencies, where governance and automation matter. It is expensive and complex for a startup translating one app into a handful of languages. Lokalise and Crowdin are friendlier for product teams focused on software strings, Tolgee and Localazy are budget options with developer-friendly workflows, and Smartling and XTM compete at the enterprise end.