Digital Lab
Turn your siloed R&D into a data-driven powerhouse by bridging the gap between instruments and actionable insights.
Modern research shouldn't be held back by manual data exports or disconnected hardware. Digital Lab is about creating a cohesive ecosystem where every piece of equipment, regardless of its age or manufacturer, communicates with your central systems. We provide the architecture and LabOps support needed to implement FAIR data standards, eliminate "black box" assets, and ensure your lab is fully prepared for AI-driven discovery.
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PAIN POINTS
Is your research velocity stalled by disconnected instruments and messy data?
Manual data handling and "island" devices create massive bottlenecks that compromise data integrity and slow down your time to market.
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Isolated Data Silos
Critical research data remains trapped in local instrument controllers, making holistic analysis nearly impossible.
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FAIR Compliance Gaps
Non-standardized data ingestion creates "data swamps" that are unsearchable and fail to meet modern compliance standards.
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Operational Fragility
Unplanned downtime disrupts sensitive experiments, caused by reactive "break-fix" models instead of predictive monitoring.
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Legacy Integration
Proprietary protocols in older equipment fleets prevent easy scale-up to modern Cloud Data Platforms.
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Rigid Change Processes
Slow reconfiguration of the digital stack prevents teams from quickly adapting to new R&D requirements.
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OUR APPROACH
We bridge the gap between scientific hardware and digital intelligence.
Our strategy combines rigorous IT/OT architecture with hands-on LabOps. We don't just install software: we build a foundation of universal connectivity and data governance. Through condition-based maintenance and expert support, we keep your laboratory running smoothly around the clock so you can focus on the science.
Universal Connectivity & Integration
Universal Connectivity & Integration
- Vendor-neutral integration of lab instruments (HPLC, MS, Bioreactors).
- Implementation of standardized communication (MQTT, OPC UA, SiLA 2).
- Unlocking "Black Box" assets for real-time data streaming.
- Secure data bridges between Lab OT and Corporate IT.
Data Governance & FAIR Standards
Data Governance & FAIR Standards
- Designing FAIR-compliant data assets (Findable, Accessible, Interoperable, Reusable).
- Automated ingestion and normalization of raw instrument logs.
- Centralized data management for AI-ready datasets.
- Establishing clear data ownership and lifecycle protocols.
LabOps & Managed Services
LabOps & Managed Services
- 24/7 monitoring with SLA-backed response times.
- Condition-Based Maintenance (CBM) to predict and prevent asset failure.
- Streamlined Change Management for rapid digital stack updates.
- Ongoing operational support to ensure system stability.
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EXPECTED VALUES
From data chaos to AI-driven discovery.
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De-risked Roadmap
Eliminate implementation guesswork with a validated High-Level Architecture that ensures a future-proof foundation for lab automation. -
Hardware Agnosticism
Connect any device regardless of brand. Our vendor-neutral approach maximizes ROI on your existing equipment and legacy systems. -
AI-Ready Foundations
Transform raw, messy logs into FAIR-compliant datasets, establishing the reliable groundwork needed for Machine Learning and AI. -
Proactive Stability
Minimize downtime with Condition-Based Maintenance (CBM). We monitor real-time metrics to catch asset failures before they happen.