Detect Anomalies.
Understand Why.
Act Instantly.
A-Eye is an AI platform that detects data anomalies, explains them with contextual intelligence, and automates the response workflow.
Core Capabilities
A complete platform for intelligent data quality management
Anomaly Detection
Z-score analysis identifies statistical outliers. Configurable thresholds per client, product, or geography catch variances that manual review might miss.
Intelligent Triage
AI classifies each anomaly as a data issue requiring action or a contextual change requiring explanation. No more guessing.
Context Attribution
Built-in retail calendar, known events, and AI-powered web search automatically explain why variances occurred — Black Friday, promotions, market shifts.
Visual QC
AI-powered analysis of PowerPoint and PDF slides. Validates data accuracy, formatting consistency, and brand compliance on every slide.
Workflow Automation
Auto-generates Jira tickets with full context, drafts stakeholder emails, and routes issues to appropriate teams automatically.
Trend Analytics
Year-over-year trend visualization with built-in event normalization. Understand if a spike is an anomaly or expected seasonal behavior.
How It Works
A linear pipeline that processes data through intelligent stages
Data Ingestion
Upload or connect your data sources. A-Eye parses structured data from Excel, CSV, databases, or APIs.
Anomaly Detection
AI and rule-based detection scans for variances, missing data, structural changes, and pattern deviations.
Intelligent Triage
Each anomaly is categorized: data issues route to resolution teams, contextual changes get explanation workflows.
Context Search
For contextual anomalies, A-Eye searches configured sources using hypothesis-driven queries to find explanations.
Action Generation
Tickets are auto-drafted with full context. Summaries and communications are generated for stakeholders.
See A-Eye in Action
Real examples of how the intelligence pipeline detects and explains data anomalies
Maggi Recall Pipeline
See how A-Eye automatically detected the Maggi product recall event and traced its impact through the data pipeline, identifying affected metrics and generating contextual explanations.
A-Eye in Action
Experience A-Eye through four powerful, interconnected modules
Admin Configuration
Set thresholds, rules, and known events. Configure context search templates, data QC thresholds, visual QC rules, and manage holidays and promotional events.
Configure SettingsData Pipeline
Automated anomaly detection and triage. Watch data flow through intelligent agents that detect, classify, and act on issues in real-time.
Run PipelineVisual QC
AI-powered validation of every slide in your reports. Upload PowerPoint or PDF files and get instant analysis of data accuracy, formatting, and brand compliance.
Analyze ReportsData Analytics
Trend visualization with built-in event normalization. Compare retailers, detect anomalies, and understand variances in context of known events like Black Friday.
Explore TrendsUse Cases
A-Eye adapts to various data quality challenges across industries
Data Quality Monitoring
Continuous monitoring of data pipelines with intelligent anomaly detection and automated alerting.
Report Validation
Automated validation of periodic reports against baselines with variance explanation.
Market Intelligence
Detect changes in market data with contextual search for external factors and trends.
Ready to Experience A-Eye?
See how A-Eye detects anomalies, explains them with context, and automates your workflow.
Experience A-Eye