Data Platform

SciY's Data Platform is a vendor-neutral, FAIR-compliant solution designed to capture, centralize, and preserve data across life science organizations. Built for laboratories and enterprises alike, it automates the end-to-end data lifecycle — from raw instrument data ingestion through to long-term archival — ensuring that all data assets are Findable, Accessible, Interoperable, and Reusable. The platform is purpose-built to support AI readiness, analytics pipelines, regulatory compliance, and data-driven decision-making at scale.

At its core, the Data Platform standardizes data from scientific and non-scientific applications into a common, vendor-neutral format aligned with your organization's ontology. It supports Self-Describing Data Assets (SRDA) — an efficient representation of data and descriptive information that enables full interpretation without external dependencies such as databases — making data immediately actionable across the enterprise.

Key Capabilities

• Manages the complete lifecycle of raw, processed, and analyzed data generated by laboratory systems
• API-first architecture enabling data to be pushed or pulled from any application, supporting use cases such as data mining and machine learning
• FAIR Data Platform that aligns all data to a centralized, standardized ontology
• Event-based architecture to enable data automation workflows
• Framework for delivering machine learning models to end-users across the enterprise
• Analytical Platform Hub that extracts data from ingested files and makes it available through standard SQL calls
• Framework for rapid deployment of single-source or multi-variant data visualizations

Data Ingestion and Standardization

• Collects data sets from both scientific and non-scientific applications
• Streamlines data processing and analysis through standardized data formats and interfaces
• Supports integration of instrument data and lab informatics solutions
• Enables metadata extraction and contextual metadata enrichment throughout the data lifecycle
• Converts large volumes of data into self-describing assets ready for analytics and AI pipelines

Data Preservation and Long-Term Storage

• Provides accessible, long-term archival storage with customizable retention policies
• Secure backup with reliable restoration and disaster recovery capabilities
• Organizes data for easy access and reuse, supporting research and development as well as regulatory reporting
• Promotes a culture of data-driven decision-making by structuring data for ongoing reuse across the organization

Security and Compliance

• State-of-the-art cloud environment designed with cybersecurity and data integrity in mind
• Quality system built to comply with 21 CFR Part 11 requirements
• Ensures data integrity throughout the entire data lifecycle

The Data Platform integrates with related SciY solutions including Method Digitalization and ELN Consolidation and Archiving, enabling a comprehensive digitalization strategy across the laboratory ecosystem. Its API-first, event-driven design makes it suitable for enterprise-wide deployment, supporting everything from regulatory reporting to advanced AI and machine learning initiatives.