Features
Multi-modal test data ingestion: time-series, Excel, documents
Automated data quality checks: outliers, test errors, bugs
Physics-informed anomaly detection
Root cause analysis with confidence-ranked causes
Structured experiment analysis and drift identification
Agentic AI co-scientists for multi-step workflows
Centralized knowledge system that compounds over time
Native connectors to test equipment and manufacturing databases
Predictive modeling for test outcomes and cut decisions
Automated workflows for recurring analyses
Dashboards and live monitoring for test data
Model-agnostic foundation model selection per task
Forward-deployed engineering support on-site
SOC 2 Type II and ISO 27001 compliance
Purpose-built for hardware workflows: test analysis, failure investigation, quality
Chrome extension for web automation
Desktop app for system-wide control
Skill builder with demonstration learning
Data extraction from multiple sources
Report generation automation
Secure data handling and privacy
Multi-step workflow automation
AI steps metering per plan
Custom agent training (Enterprise)
Single sign-on (Enterprise)
On-premise deployment option (Enterprise)
