;Resize,width=660)
Turn credit evaluation into a collaborative process powered by AI agents—automating analysis, integrating internal and external data, and consolidating insights across corporate credit underwriting.
LIS Assistant
Translate voice and text into Italian Sign Language through real-time digital avatars, enabling accessible public and digital services without waiting for human interpreters.
#AIForAccessibility #DigitalAccessibility #SignLanguageAI #InclusiveInnovation
Business Challenge
Traditional interpretation models are difficult to scale across always-on digital channels, especially when services must support multiple touchpoints, regions, and specialized domains such as healthcare, public administration, insurance, or banking. As accessibility expectations and regulatory requirements increase, organizations need a scalable way to embed sign language support directly into their service experience.
Solution Overview
LIS Assistant is a prebuilt AI application that brings real-time sign language communication into digital services, customer channels, and public-facing platforms. The solution translates voice and text into sign language through digital avatars, enabling deaf users to interact immediately and independently without waiting for a human interpreter.
Initially focused on Italian Sign Language (LIS), the application is built on a modular AI core that can be extended to additional sign languages, such as ASL and BSL, and adapted to specialized terminology, vertical processes, and local service contexts.
The solution can be integrated into existing web portals, mobile applications, contact centers, kiosks, and customer-service workflows through APIs. Its modular architecture separates language understanding, sign-language syntax conversion, gloss retrieval, avatar animation, and domain adaptation, making the platform extensible across new languages and industries.
Key Capabilities:
Real-Time Sign Language Communication
Enables immediate and continuous interaction between deaf users and digital services, without relying on scheduled or live human interpretation.AI-Powered Automatic Translation
Converts voice and text into sign language through intelligent digital avatars, supporting more accessible and natural communication.Scalable Multi-Language AI Core
Provides an extensible architecture that can support multiple sign languages and geographic contexts through a shared core platform.Domain-Specific Adaptation
Adapts translations, terminology, and sign-language datasets to specialized sectors such as healthcare, public administration, financial services, and customer care.Dedicated Dataset Creation
Supports the creation and management of dedicated sign-language datasets for new languages, vertical domains, and specialized vocabulary.Always-On Digital Accessibility
Makes sign language support available directly inside digital services, transforming accessibility into a continuous, embedded capability.
Technical Implementation
LIS Assistant is built as a modular AI pipeline for language understanding, sign-language transformation, gloss retrieval, motion generation, and avatar rendering.
The solution can be hosted on AWS or equivalent cloud infrastructure and exposed as a software service through APIs.
Core components include:
Cloud-native infrastructure layer
for scalable hosting, storage, orchestration, and high-volume video processing, deployable on dedicated or client-managed environments.AI-based language transformation pipeline
for converting spoken or written language into sign-language-oriented semantic structures and grammatical patterns.Semantic retrieval and knowledge management layer
for handling glosses, sign mappings, contextual vocabulary, and domain-specific linguistic adaptations.Pose estimation and motion analysis engine
for extracting body, hand, and facial movement references from source visual assets.3D motion synthesis pipeline
for reconstructing expressive sign-language movements and generating reusable animation sequences.Digital avatar animation and rendering framework
for producing synchronized, natural, and visually coherent sign-language video outputs.
;Resize,width=660)
;Resize,width=660)
;Resize,width=660)
;Resize,width=660)
;Resize,width=660)
;Resize,width=660)
;Resize,width=660)