Splashlake provides a cloud-native platform for managing and integrating scientific data, enabling seamless connectivity between instruments and systems like LIMS, ELN, and ERP. The solution ensures compliance and data integrity while allowing users to access, share, and archive their data securely in human-readable formats.
Funding
Funding not disclosed
Founders
Product
Problem
Scientific organizations face challenges in managing and integrating data from diverse instruments and systems like LIMS, ELN, and ERP, leading to data silos and hindering data accessibility and reuse. Maintaining data integrity and ensuring compliance with regulatory requirements adds further complexity.
Solution
Splashlake offers a cloud-native platform designed to connect scientific instruments and systems, enabling seamless data capture, management, and integration. The platform facilitates data sharing and access across teams and with external partners, while ensuring compliance and data integrity. Splashlake supports both cloud and on-premise deployments, allowing organizations to leverage their existing infrastructure or utilize Splashlake's managed services. By embracing data and communication standards, Splashlake promotes FAIR (Findable, Accessible, Interoperable, Reusable) data practices and enables enterprise-wide data scalability.
Target Audience
Splashlake targets scientists, researchers, and data managers in organizations that require efficient management, integration, and accessibility of scientific data, including those in regulated industries needing to ensure compliance and data integrity.
Features
- Seamless instrument integration with LIMS, ELN, and ERP systems
- Secure on-premise and cloud storage for instrument files, streams, and metadata
- Web-based interface for viewing, exposing, and sharing data, including integration with Microsoft 365
- Compliant long-term archival in human-readable formats
- Support for the open AnIML format to enable data interoperability
- Vendor-neutral instrument data visualization for unified data exploration and analysis
- Automated metadata extraction and manual addition for enhanced data discoverability