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
AI meeting preparation with deep research and battle cards (Evan)
CRM auto-updates via plain English commands (Atlas, coming soon)
Account monitoring with stakeholder and org change alerts (Nico, coming soon)
LinkedIn network analysis for warm lead generation (Iris, coming soon)
Lookalike customer discovery (Nova, coming soon)
Custom AI workers tailored to specific workflows
Secure isolated environment, no data training
Integration with CRM, email, calendar, call recorders
Slack and email notifications for AI worker outputs
Org chart mapping and stakeholder identification
Pipeline analytics and field updates
Record cleaning and standardization
Multi-agent system for task planning and execution (Z1 Engine)
Schema-level accuracy for enterprise workflows
