Smartling

Every business eventually learns through negative experience how machine translation at a basic level results in errors undermining customer trust. It’s with that principle that Smartling’s architecture was founded: neural machine translation combined with flexible human review workflows to ensure high-stakes content makes it to an editor, while lower-risk content runs entirely automatically. AutoSelect is used by Smartling to push each piece of content to whatever engine it identifies as most likely to do a job well for a particular language pair and content type, resulting in greater overall quality than locking down to one engine across the board. An AI Hub allows teams managing localisation and translation to centrally determine what AI models can be used to translate particular types of content and includes workflow-level quality gates. Compliance is another strong point. Smartling boasts SOC 2 Type II, HIPAA, HITRUST, PCI DSS Level 1, and ISO 27001 compliance, which is a critical advantage for large businesses in the finance and health industries. The one clear drawback to Smartling’s platform noted in G2 reviews is price: it’s an enterprise-level price structure, and AI translation services will rapidly become costly once they reach significant volume. While Smartling says some clients see 25% more in terms of translation efficiency based on published case studies, the initial required investment is significant. Nevertheless, Smartling stands out as a premier choice for enterprises seeking speed and trustworthiness alongside their global operations.

• Category: Translation
• Pricing: Paid
• Rating: 4.4 / 5 (0 reviews)
• Platforms: Web

Key features

• AI AutoSelect — Automatically routes each string to the best-performing translation engine for that specific language pair and content type rather than using one engine for everything
• Configurable human review workflows — Route high-stakes content through human editors while lower-risk content runs fully automated based on content category and risk threshold
• AI Hub — Central control panel for managing which AI models are applied to which content categories with quality gates and approval workflows
• 600 plus integrations — Connectors to content management systems marketing platforms ecommerce tools and developer environments for automated content ingestion
• Website proxy — Smartling GlobalLink translates and serves your website in multiple languages without requiring development work on the original site
• Translation memory — Stores every approved translation and automatically applies it to identical or similar content to reduce cost and improve consistency
• Enterprise compliance — SOC 2 Type II HIPAA HITRUST PCI DSS Level 1 and ISO 27001 certifications for regulated industries
• Managed translation services — Access to a network of professional human translators for content that requires expert linguistic review beyond machine translation

Pros & Cons

Pros

• AI AutoSelect routing to the best engine per content type and language pair produces better aggregate quality than single-engine alternatives
• Configurable human-in-the-loop workflows mean high-stakes content gets editor review while automated content runs at scale without manual overhead
• Enterprise compliance certifications including HIPAA and PCI DSS make it viable for healthcare financial and other regulated industries
• Published case studies show 25 percent or more reduction in translation time for enterprise customers using AI Human Translation workflows
• G2 score of 4.4 from 677 reviews with higher overall satisfaction ratings than most comparable enterprise localization platforms

Cons

• Enterprise pricing typically running $2000 to $10000 plus per month puts it well outside the reach of small and mid-size teams
• Some G2 reviewers note AI translation usage costs can climb quickly at high volume making budget forecasting difficult without careful usage tracking
• Significant setup and configuration required before workflows are running which means a longer time to value than simpler self-serve tools like Lokalise
• Advanced features like AI Hub and AutoSelect require technical and localization expertise to configure optimally which adds implementation friction

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