Data Infrastructure: The Hidden Power Behind AI Labs | Cenevo

In the race to modernize lab operations, automation and AI often steal the spotlight. But behind every smart algorithm and robotic arm lies the true enabler of transformation: data.

Without clean, connected, and contextualized data - aligned with FAIR (Findable, Accessible, Interoperable, Reusable) principles - even the most advanced technologies fall short. That’s why at Cenevo, we’re doubling down on data infrastructure - building a foundation that powers connected, intelligent, and future-ready laboratories. 

Data at the Core of Digital Lab Transformation

Our recent white paper, The Future of Digital Lab Operations, reinforces this point. It reveals that data overload and management is the number one challenge facing labs today, cited by 54% of survey respondents. Despite the promise of AI and automation, many labs are still struggling with fragmented systems, siloed datasets, and manual workflows. The result? Valuable scientific insights remain locked away, limiting innovation and reproducibility.

Cenevo’s Lab Data Management Strategy 

At Cenevo, we’re actively addressing these challenges through three strategic pillars designed to support connected lab ecosystems across Labguru and Mosaic platforms: 

• Centralized Data Lake - We’re developing a robust data lake to unify operational data across platforms, instruments, and workflows. This isn’t just about storage; it’s about contextualization. By consolidating complex relational data from Labguru and Mosaic, we transform raw information into actionable insights, enabling advanced analytics, predictive modeling, and AI-driven decision-making.
  
  
• Operational Data Metrics - We’ve introduced a new layer of operational intelligence - real-time metrics that provide visibility into lab performance, bottlenecks, and resource utilization. These metrics will help teams make faster, more informed decisions and continuously improve lab efficiency. 
  
  
• Modern REST APIs - To ensure seamless integration with other systems, we continue to expand our extensive REST API suite. These APIs allow labs to connect Mosaic and Labguru with other key data systems - breaking down data silos and enabling true interoperability. 

FAIR Data: The foundation of AI Driven Labs 

The white paper also highlights the growing importance of FAIR data principles  - Findability, Accessibility, Interoperability, and Reusability. These principles are becoming the gold standard for data management in life sciences, and for good reason. Without FAIR data, AI algorithms struggle to deliver reliable insights, and scientific reproducibility suffers. 

At Cenevo, we embed FAIR principles into our architecture and ongoing developments. From metadata tagging, built-in authentication, immutable IDs to cross-system identifiers, we’re making sure that data isn’t just collected — it’s usable, traceable, and trustworthy. 

Audit Trails: Ensuring Compliance and Confidence 

In sample management, audit trails aren’t optional; they’re essential. As AI-driven workflows become more flexible, maintaining a clear, immutable record of data provenance becomes even more critical. Our platform ensures that every change to a sample is logged and traceable, supporting compliance and building confidence in digital workflows. 

Building the Data Backbone for the Lab of the Future

The white paper makes it clear: labs that fail to modernize their data infrastructure risk falling behind. But those that embrace data as a strategic asset—supported by FAIR principles, robust audit trails, and interoperable systems—will be well-positioned to lead the next wave of innovation. 

At Cenevo, we’re not just building tools. We’re building the data backbone for the modern lab, empowering organizations to transform operations, accelerate discovery, and make smarter, data-driven decisions.

Ready to modernize your lab’s data infrastructure?

Book a Demo to see how Labguru and Mosaic can help your lab become more connected, automated, and AI-powered.