This year marked an important milestone for Cenevo. For the first time, Labguru and Mosaic customers came together under a single brand for our 2025 Product Advisory Councils. Held in Cambridge (UK), Basel, and San Francisco, these meetings created a shared forum for discussing laboratory digitization, workflow optimization, and the growing influence of AI across research environments.
At their core, the councils aim to strengthen relationships with our customers, guide the direction of our products, encourage peer-to-peer learning and help shape the future of the connected lab. As scientific organizations face increasing operational complexity, diverse modalities, and pressure to accelerate discovery, it has never been more important to bring our communities together.
Uniting Labguru and Mosaic Communities
Bringing Labguru and Mosaic users into one conversation proved valuable for both sides. Although each platform supports different aspects of the scientific process, customers were clear about how closely sample management, informatics and workflow orchestration are linked in modern research environments. Both Labguru and Mosaic play central roles in this landscape. Customers repeatedly highlighted how integration and collaboration across the ecosystem will drive long-term success.
Across all three locations organizations described the need for stronger cross-platform orchestration. Many indicated that they are looking forward to the integrations between Labguru and Mosaic, which will enable more seamless communication between our ELN and sample management functionalities. These integrations will help teams communicate efficiently, adapt to evolving processes, and scale with growing pipelines. This type of connectivity is essential for building AI-ready environments and ensuring that the full Cenevo ecosystem can accelerate discovery and delivery.
Exploring Industry Challenges
One roundtable focused on the operational challenges facing research organizations today. A key trend is the shift toward multiple modalities. Many customers who once managed only small molecules now work with biologics or other complex modalities. This places new demands on Mosaic sample management processes and increases the importance of Labguru’s ability to structure, track and guide scientific workflows.
Our survey earlier in the year highlighted automation of manual workflows as a persistent obstacle, a theme echoed again at the PAC. Some labs have made significant progress toward full digitization, while 35% still rely heavily on manual processes*. These gaps affect scheduling, data quality, and overall operational resilience.
AI was another point of debate. Several organizations are investing in AI training and licences, even though adoption within sample management and workflow execution is still emerging. Regional differences were noticeable. San Francisco attendees were more open to adopting AI quickly, while Basel participants focused more on compliance and risk considerations.
Inter-organizational collaboration also surfaced as a pain point. Many attendees either work with CROs or are CROs themselves, and they highlighted need for greater standardization in areas such as data transfer formats and container types. Enhancements in these areas would further support Mosaic and Labguru users in maintaining consistency across partners.
AI, the Connected Lab, and the Next Frontier
The AI and Connected Lab roundtables invited customers to explore what the future could look like. Many were enthusiastic about Agentic AI, some examples being predictive ordering, automated shipping restriction handling, and reducing repetitive administrative tasks. Some attendees outlined aspirational use cases, including AI agents that transfer requests from project management tools into Mosaic or the use of image analysis to support RNA workflows.
Customers were also excited about the proposed Cenevo Data Lake and the insights that advanced dashboards could unlock. Larger enterprises already use tools such as Snowflake, KNIME, and Spotfire. They were keen to see deeper integration between these analytics platforms and Mosaic, enabling more unified data strategies.
Discussions also touched on the tools that will shape scientific environments over the next decade. Autonomous Mobile Robots were a recurring topic. While not yet widely deployed, several attendees expect them to become standard in research facilities, possibly evolving into humanoid systems capable of more complex tasks.
The Invest Challenge: Shaping Cenevo’s Roadmap
The Invest Challenge was the most engaging session in every location. This collaborative exercise allowed customers to vote on the areas where they want Cenevo to focus R&D investment across Mosaic and Labguru.
The results were clear and consistent. “Scheduling and Workflows” topped the list in Cambridge and Basel. San Francisco placed the strongest emphasis on “Specialized AI Agents”, with workflow efficiency a close second.
Other priorities included mobile functionality, AI-powered automations, stronger data acquisition from instruments, and improved chain of custody tracking. A notable trend emerged: leadership teams tended to vote for more AI initiatives, while operational users prioritized improvements that would immediately simplify daily work.
We plan to follow up with focus groups to understand these priorities in greater depth and translate them into actionable roadmap items.
Product Demos and Customer Feedback
Live demonstrations of Mosaic and Labguru innovations gave customers a firsthand look at how the two platforms are evolving together. Many attendees welcomed the growing presence of AI across both products and were particularly interested in how upcoming features will improve decision making and workflow orchestration.
Integration Between Mosaic and Labguru
Mosaic and Labguru integration continues to be a major focus area for many organizations. Several attendees expressed interest in linking substances across tiered assays to ensure downstream readiness. Others highlighted the need for seamless cross-system search capabilities and orchestration for multi-step processes.
Customers consistently praised the quality and comprehensiveness of the Mosaic and Labguru APIs. These APIs give scientific teams the flexibility to design workflows and automations that reflect their unique processes, while still benefiting from the structure and governance that the Cenevo ecosystem provides.
Preparing for the Future of the AI-Driven Lab
A clear message ran through every council. Laboratories want tools that are connected, flexible, and capable of evolving with their science. Digitization gaps still exist, particularly in manual request handling and CRO/CDMO collaboration. Biological workflows introduce additional complexity that requires stronger environmental monitoring, solvent handling, and process control.
In the short term, customers want workflow flexibility, user experience improvements, and enhanced mobile features across both Mosaic and Labguru. Medium-term goals include deeper cross-platform integration and more standardized interactions with CROs. The long-term vision is firmly rooted in AI, predictive data ecosystems and intelligent lab automation.
Continuing the Conversation
The 2025 Product Advisory Councils offered invaluable insight into the priorities and pressures shaping modern scientific organizations. We will be working closely with lead customers who expressed interest in contributing to future developments.
As Cenevo continues to build the future of the connected, AI-driven lab, these conversations will guide how Mosaic and Labguru evolve to support the next generation of scientific discovery.
We hope to see you joining the conversation at our 2026 councils. Until then, contact our team today to discover how Cenevo's integrated ecosystem can accelerate your research workflows.
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