Purpose-built for materials science research
MatBook integrates experiment tracking, materials database access, research data management, and lab automation into a single platform designed specifically for how materials scientists work.
Search, compare, and link materials properties across your research
MatBook's curated materials database covers mechanical, thermal, electrical, and optical properties across thousands of material classes — from structural alloys to advanced ceramics and polymers. Every entry is linked to primary literature so researchers can trace property values back to their source.
- Search by composition, phase, or processing route
- Compare properties across material classes side by side
- Link database entries to your own experimental records
- Export structured property datasets in standard formats
- Continuous updates from peer-reviewed literature
Structured experiment records from hypothesis to result
Design experiments with domain-specific templates that capture the variables that matter in materials science workflows — synthesis conditions, characterization parameters, sample metadata, and environmental factors. Every experiment is a searchable, linkable record connected to the samples and materials it involves.
- Templates for synthesis, characterization, and analysis workflows
- Automatic versioning when protocols are modified
- Link experiments to samples, batches, and materials database entries
- Record and track anomalies and deviations in real time
- Export experiment records for collaborative review
Connect your instruments and automate data ingestion
MatBook's open API connects directly to characterization instruments, automated synthesis platforms, and analysis software. Data from XRD, SEM, TEM, TGA, DSC, and UV-Vis systems flows into structured experiment records automatically — eliminating manual transcription and reducing the risk of data errors.
- RESTful API with SDKs for Python and MATLAB
- Pre-built connectors for common characterization instruments
- Automated metadata extraction from instrument data files
- Webhook support for real-time event notifications
- Custom integration support available for enterprise customers
Built for research-grade reliability
MatBook is engineered to meet the data integrity and availability requirements of academic and industrial research environments.
Data Security
- AES-256 encryption at rest
- TLS 1.3 in transit
- SOC 2 Type II certified
- Role-based access control
Infrastructure
- 99.9% uptime SLA
- Daily automated backups
- Multi-region data replication
- On-premise option (Enterprise)
Integrations
- RESTful API + webhooks
- Python & MATLAB SDKs
- 20+ instrument connectors
- SSO / SAML (Enterprise)
See MatBook in action
Schedule a 30-minute demo with our team. We will walk through the platform using workflows relevant to your research domain.