Jacquard

Language2 architecture enforces strict, deterministic guardrails to filter for stylistic compliance before prediction, ensuring brand safety without relying on raw LLMs

Advanced neural engine that predicts performance with 66% win rate vs controls, rising to 100% when coupled with experimental design

Provides explainable performance data with measurable ROI and actionable insights into why specific language resonates with audience

Linguist team provides ongoing strategic insights into sentiment and language trends, moving from intuition-based to evidence-based creative strategy

Automates content production at scale with tracking of language accuracy, rejection rates, and predicted vs actual performance

Generate multichannel and channel-specific variants from a single strategic brief

Calibrates language to unique brand voice, style, regional nuances, and compliance standards using neuro-symbolic architecture

Turns customer data attributes into natural language contextual messages, processing combinatorial possibilities with creativity

Deliver optimized content across Email, SMS, Mobile Push, In-App, Web Push, and ChatGPT apps with narrative coherence

Replace subjective bottlenecks with data-led governance, ensuring every variant is compliant, performant and on-brand before approval

Native-quality generation and calibration across 27+ languages and dialects with performance learnings transferred between regions

Uses best-in-class experimental design to uncover highest-performing language for total audience, replacing A/B testing with mathematical certainty

Experimental design engine that maintains diversity and freshness while predicting winning message variants before sending

1:1 personalization engine that analyzes product and user profile data to generate perfect message for every user, moving beyond static segments

Predicts winning message variants before sending with built-in experimental design to prevent ad fatigue and keep performance high

Tracks language accuracy and rejection rates to give teams confidence to automate campaign production