Digital Lab
Turn your siloed R&D into a data-driven powerhouse by bridging the gap between instruments and actionable insights.
Science stops where data silos begin. We architect the digital layer of your laboratory, integrating diverse instruments - from legacy assets to modern sensors - into a single, secure network. By replacing manual transcription with automated data pipelines, we ensure your scientific assets are FAIR, compliant, and instantly ready 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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Data Trapped in Machines
Valuable information that never leaves the instrument it was created on.
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"Dark Data" Swamps
Collecting mountains of results that are impossible to search, share, or use.
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Fragile Infrastructure
Unreliable systems that cause lab work to grind to a halt when the network fails.
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The "Black Box" Barrier
Proprietary equipment that makes it difficult to access your own raw data.
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Digital Rigidity
Software and systems that are too stiff to adapt to your evolving research needs.
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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.
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 scattered instruments to unified scientific intelligence.
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De-risked Architecture
A solid digital blueprint that grows with your company without breaking. -
Hardware Independence
The freedom to choose the best tools for your lab, knowing we can connect them. -
Al-Ready Foundations
Clean, structured data that is ready to power your machine learning models from day one. -
Digital Resilience
Reliable systems designed for maximum uptime, so your research never stops.