Quick Overview
Toptal designed a dashboard UI for a US startup to help human operators monitor and resolve AI image recognition errors in real time. The dashboard visualized exceptions, progress, and resolutions, improving transparency and enabling faster human-in-the-loop corrections.
Toptal (for US Startup)
Company Size
Not publicly disclosed
Revenue Range
Not publicly disclosed
Primary Challenge
Real-time monitoring and correction of AI image recognition errors
Key Metrics
\- Real-time exception tracking\- 50% faster error resolution\- Improved operator efficiency
The Problem
AI systems misclassified images and operators lacked efficient tools for review and correction
The Solution
Developed interactive dashboard for exception visualization, progress tracking, and streamlined labeling workflow
Results
\- 2x faster exception resolution\- 35% reduction in misclassifications\- Improved transparency and user experience
Details
Industry
Technology & SaaS
Departments
Sales & Lead Generation
Data & Analytics
Use Cases
No items found.
Tags
Machine Learning
Time-Saving
Cost Reduction
AI Tools Used
No items found.
Sources
https://www.toptal.com/designers/dashboard-design/dashboard-design-case-study
More Case Studies
See All
How Beyond Key Streamlined Knowledge Management with Generative AI-Powered Q&A System
Nonprofit & NGO
How a Public B2B SaaS Company Improved Support with LivePerson’s Conversational Cloud® and Generative AI
Technology & SaaS
How Los Angeles Enhanced Public Safety with AI-Enabled Surveillance Systems
Nonprofit & NGO
How Cognaize Uses AI to Automate Financial Data Extraction and Annotation with 99.9% Accuracy
Finance & Banking
How SPAR ICS Achieved 90% Inventory Prediction Accuracy and Reduced Food Waste with AI
Retail & E-commerce
How Procter & Gamble Uses Machine Learning to Forecast Demand and Optimize Inventory Management
Retail & E-commerce