Detect Anomalies.
Understand Why.
Act Instantly.
PULSE is an AI platform that detects data anomalies, explains them with contextual intelligence, and automates the response workflow.
Detect
AI-powered detection that catches variances, structural changes, and missing data that traditional rules miss.
Explain
Contextual intelligence that researches and explains why anomalies occurred - market factors, external events, or internal issues.
Act
Automated workflows that route issues to the right team, draft tickets, and generate summaries - all with full context.
See the Intelligence Pipeline
Watch how PULSE processes data through detection, triage, context search, and action generation
Structural change detected in dataset hierarchy
Significant deviation from baseline pattern
External factor identified as root cause
Core Capabilities
A complete platform for intelligent data quality management
Multi-Pattern Detection
Detects variances, missing data, structural changes, and hierarchy anomalies using configurable rules and AI models.
Intelligent Triage
Automatically categorizes anomalies as data issues (requiring action) or contextual changes (requiring explanation).
Contextual Search
Hypothesis-driven search that looks for relevant external factors - market events, competitor activity, seasonal patterns.
Workflow Automation
Auto-generates tickets with full context, routes to appropriate teams, and drafts communications for stakeholders.
Configurable Rules
Define detection rules in plain English. Set thresholds, patterns, and actions without writing code.
Continuous Learning
System learns from user feedback and corrections. Patterns become rules. Accuracy improves over time.
How It Works
A linear pipeline that processes data through intelligent stages
Data Ingestion
Upload or connect your data sources. PULSE 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, PULSE 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.
Use Cases
PULSE 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 See PULSE in Action?
Explore the interactive demo to see how PULSE detects, explains, and acts on data anomalies.