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
Packet-Aware AI Agents for cross-document validation
Multi-Model Optimization for dynamic model selection
Deep Document Understanding for structured document maps
Contextual linking across documents in a packet
Applied business logic for rule-based analysis
Auditable and verifiable generative AI outputs
Human-in-the-loop review with task dashboards
No-code app builder for document processing workflows
Chat with documents for on-demand insights (single & multi-file)
Supports 55+ rich file formats
Handwriting recognition and multi-language recognition
Long document support (100+ pages)
Unlimited users in collaborative and personal workspaces
Enterprise-grade security with compliance controls (SSO, IP whitelisting)
Connect your own cloud storage (AWS S3, Azure, GCP, Google Drive)
