KleverAI – Early Failure Prediction
KleverAI is an early failure prediction platform designed to help organizations identify potential risks and performance issues before they impact operations. The application guides users through data preparation, analysis, prediction, and deployment, transforming complex datasets into clear insights, recommendations, and actionable scenarios.
Year
2021
Company
Kuriosity Techno Labs Pvt Ltd
Category
AI/ML Data Predictions · B2B Web App
Tool
Adobe XD
Problem to Solve
Organizations often rely on historical data to react to failures after they occur, with limited visibility into potential risks ahead of time. Existing analytical tools were either too technical, fragmented, or difficult to interpret, making it challenging for teams to confidently explore data, understand failure patterns, and take preventive action early.
Focusing on designing a structured, step-by-step experience that makes advanced predictive workflows understandable and usable for business and technical users, without requiring deep expertise in data science or machine learning.
Feedback-Driven Data Correction
The data cleaning experience focuses on making errors visible and easy to act on. Issues like missing values, outliers, duplicates, or out-of-range data are surfaced directly within the table, while a side panel provides a clear summary of what went wrong and what can be done next.
Selecting “Take Action” visually connects the recommendation to the exact rows and cells being affected. This creates a clear feedback loop where users can see what’s changing, understand why the change is needed, and stay confident about the impact of each action—reducing guesswork during data processing.
