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Lilt (Canva): Complete Buyer's Guide

AI-powered localization platform

IDEAL FOR
Large enterprises with established localization teams requiring high-volume multilingual content production while maintaining brand consistency across global markets.
Last updated: 3 weeks ago
3 min read
60 sources

Lilt is an AI-powered localization platform that combines machine translation with human oversight to deliver scalable multilingual content for global enterprises. The platform's hybrid approach addresses the quality concerns that have historically limited AI adoption in brand-sensitive marketing content while maintaining the efficiency gains necessary for high-volume localization demands.

Market Position & Maturity

Market Standing

Lilt occupies a distinctive position in the AI localization market, combining enterprise-grade security and compliance capabilities with innovative hybrid AI-human workflows.

Company Maturity

The company's recent $25M funding round in June 2025 indicates early-stage expansion rather than established market dominance.

Growth Trajectory

Lilt's $25M funding round in June 2025 demonstrates strong investor confidence in its growth trajectory.

Industry Recognition

The platform's SOC 2/3 certification and government-tier compliance capabilities position it strategically for security-conscious enterprise deployments.

Strategic Partnerships

Lilt's enterprise client portfolio includes technology leaders like Intel, UiPath, and Lenovo, alongside consumer brands such as ASICS and Canva.

Longevity Assessment

Multi-year customer relationships indicate sustained market confidence and value delivery.

Proof of Capabilities

Customer Evidence

Canva's implementation showcases the platform's ability to handle massive scale, supporting multilingual content production for 40+ million monthly users across 100+ languages [42][45].

Quantified Outcomes

Intel's three-year deployment provides compelling evidence of sustained value delivery, achieving 40% year-over-year cost reduction for identical content volumes [52].

Case Study Analysis

UiPath processed over 3 million words of technical documentation while achieving 1.7x faster turnaround times over their three-year partnership [59].

Market Validation

Multi-year customer retention across diverse industries provides market validation evidence.

Competitive Wins

Lenovo's accuracy improvements offer independent validation of technical performance claims, documenting 15% higher accuracy compared to unadapted large language models [58].

Reference Customers

Enterprise customers include Intel, UiPath, Lenovo, Canva, and ASICS.

AI Technology

Lilt's technical foundation centers on its proprietary Contextual AI Engine, which dynamically adapts to client-specific terminology and brand voice through continuous linguist feedback [47][52].

Architecture

The platform's API-driven architecture supports over 100+ pre-built connectors including integration with major platforms like Smartling and various CMS solutions [47][51].

Primary Competitors

Primary competitors include established players like Smartling and Lokalise.

Competitive Advantages

Competitive advantages center on technical innovation through AI Agents enabling autonomous error correction, custom model development per business unit, and measurable accuracy improvements of 15% over unadapted large language models [58].

Market Positioning

Market positioning targets large enterprises requiring both scalability and quality assurance.

Win/Loss Scenarios

Win scenarios favor Lilt when enterprises require SOC 2/3 compliance, government-grade security, custom AI model development, or integration with complex marketing technology stacks.

Key Features

Lilt product features
Contextual AI Engine
Dynamically adapts to client-specific terminology and brand voice through continuous linguist feedback [47][52].
🤖
AI Agents
Enable autonomous error correction and brand compliance monitoring, reducing human review time by 3-4 hours per 10,000 words [43].
Enterprise Domains
Enables custom model creation per business unit with controlled data segregation [41][44].
🔗
Integration Architecture
Supports 100+ pre-built connectors including major platforms like Smartling and various CMS solutions [47][51].
🔒
Security and Compliance
Includes SOC 2/3 certification and government-tier compliance with IL6+ support and on-premise deployment options [50][60].

Pros & Cons

Advantages
+Hybrid AI-human workflow addresses quality concerns while maintaining efficiency gains [47][52].
+Enterprise-grade security and compliance capabilities including SOC 2/3 certification [60].
+Proven customer outcomes demonstrate measurable business impact [52][57][59].
+Technical innovation through AI Agents enabling autonomous error correction [43].
Disadvantages
-Implementation complexity requires substantial organizational capabilities [36][37][56][58].
-Enterprise focus and pricing structure may limit accessibility for mid-market organizations.
-Relatively recent market entry and limited brand recognition compared to established players.

Use Cases

🚀
Technical Documentation Localization
UiPath processed over 3 million words of technical documentation while achieving 1.7x faster turnaround times [59].
🛒
E-commerce Content Localization
ASICS achieved 70% cost reduction and 60% faster translation velocity within the first operational year [57].
🚀
Global Design Platform
Canva scaled multilingual content production for 40+ million monthly users across 100+ languages [42][45].

Integrations

SmartlingVarious CMS solutions

Pricing

Business Plan
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Includes core AI platform capabilities with standard connectors.
Enterprise Plan
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Adds human verification, API access, and custom invoicing.
Government-tier pricing
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Offers IL6+ compliance with on-premise deployment options.

How We Researched This Guide

About This Guide: This comprehensive analysis is based on extensive competitive intelligence and real-world implementation data from leading AI vendors. StayModern updates this guide quarterly to reflect market developments and vendor performance changes.

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Standardized assessment framework across 8 key dimensions for objective comparison.

  • • Technology capabilities & architecture
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Sources & References(60 sources)

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