Brillio’s Enterprise VisuaLint AI

VisuaLint AI is a GenAI-powered design validation solution that transforms visual design files into actionable, functional specifications by intelligently comparing two Figma templates. Built for product managers, QA teams, and UI/UX designers, it streamlines the often manual and error-prone process of design validation. By leveraging powerful AI and AWS-native services, VisuaLint AI ensures faster, more accurate reviews and fosters alignment across design and development workflows.

The solution integrates OpenAI models via AWS Bedrock to deliver context-aware semantic understanding of design changes. It connects directly with the Figma API, retrieves design data, and uses intelligent diffing algorithms to generate detailed human-readable reports. The architecture is built using Python-based microservices, orchestrated via AWS ECS, and exposed securely through API Gateway. Design assets and reports are stored in Amazon S3, indexed through Amazon OpenSearch, and managed with Amazon DynamoDB. Reports are served globally with low latency through Amazon CloudFront, ensuring seamless and secure access for distributed teams.

1. AI-Powered Semantic Analysis - VisuaLint AI integrates OpenAI's large language models via AWS Bedrock to go beyond visual diffing. It semantically interprets layout, content, and structural changes between Figma files, understanding the context and business impact of each change. This helps teams prioritize meaningful design changes over minor visual variations.

2. Figma API Integration - Through its native integration with the Figma API, VisuaLint AI fetches frames, components, text, and styles. It parses and normalizes these elements into structured JSON, enabling accurate version-to-version comparisons and consistency across designs.

3. Smart Diffing Logic - The tool employs intelligent diffing algorithms that analyze design hierarchies, layout positioning, and component structures. It detects inconsistencies in alignment, spacing, missing elements, or usage deviations. Detected changes are captured in a structured changelog that teams can act upon quickly.

4. Microservices Architecture - VisuaLint AI is built on a modular microservices architecture orchestrated using Amazon ECS, allowing each component—such as comparison logic, Figma integration, and reporting—to scale independently. This approach improves fault isolation, agility, and integration into CI/CD pipelines or design systems.

5. Python Orchestration - The Python backend serves as the central orchestrator, handling all API calls, data parsing, and communication across services. It ensures consistent output generation and supports customization and extensibility as teams evolve their design processes.

6. Human-Readable Reports - Final outputs are clean, contextual reports that summarize detected changes in plain language. These reports, stored in Amazon S3 and indexed using OpenSearch, can be easily accessed through CloudFront and integrated into design QA or product documentation workflows.

• Design QA: Validate that new design versions remain consistent with approved specs before development begins.

• Product Reviews: Ensure that all design changes accurately reflect product requirements and intended features.

• Regression Testing: Quickly detect any unintended UI/UX regressions introduced during updates or redesigns.

• Cross-Functional Collaboration: Strengthen collaboration between designers, engineers, and product stakeholders with shared understanding of visual changes.

• Saves Time: Automates the repetitive and tedious process of manual screen-by-screen comparison.

• Reduces Errors: Identifies subtle design inconsistencies that are often overlooked by manual reviews.

• Improves Collaboration: Enables shared visibility with intuitive, contextual reporting accessible via CloudFront.

• Built for Scale: Natively built on AWS and designed to scale with growing design systems and agile product teams.

• Secure and Performant: Uses API Gateway for secure API access, DynamoDB for stateful metadata, and S3 + CloudFront for fast global report access.

• Amazon Bedrock: Powers the core semantic intelligence using OpenAI’s foundation models.

• Amazon S3: Stores uploaded Figma design files, normalized data, and generated reports.

• Amazon OpenSearch: Indexes design diffs and reports for fast querying and retrieval.

• Amazon DynamoDB: Stores metadata, change history, and report indexing for each comparison.

• Amazon ECS (Elastic Container Service): Orchestrates Python microservices for scalable diffing, analysis, and reporting.

• Amazon API Gateway: Provides secure, scalable access to microservices and endpoints.

• Amazon CloudFront: Delivers reports and visual diff outputs globally with low latency.