ZONTAL

ZONTAL empowers life sciences to take control of their most valuable asset—data. Preserve research, protect IP, and maintain data access during M&As with secure, compliant data management. Future-proof your data with ZONTAL. #DataPreservation #LifeSciences #FAIRData #DataSecure

ZONTAL unifies flow cytometry, plate reader, MS, & imaging data into one connected system—making data easier to find, trust, and act on. Accelerate insights, collaboration, and decisions. zontal.io/discovery-biol… #DiscoveryBiology #LifeSciences #DataIntegration #DigitalLab

1 month after Lab of the Future: how do you move from data collection to predictive power? AI-ready science = connected, context-rich data (not more data). zontal.io/smarter-labs-f… #LifeSciences #ScientificData #FAIRData #DigitalLab #AIinRAndD #ZONTAL

Scientific workflows now generate hundreds of thousands of files per dataset. At that scale, completeness isn’t assumed—it must be proven. Our latest white paper outlines how to ensure dataset integrity at enterprise scale. zontal.io/high-throughpu… #ScientificData #LifeSciences

Zombie applications aren’t just legacy systems—they’re hidden risk. They drain cost, increase complexity, and lock away valuable data. Modernization starts by separating data from the application. zontal.io/zombie-applica… #DigitalLab #LifeSciences #AI #DataStrategy #TechDebt

Method transfer breaks at scale. As CDMO networks grow, one-off transfers slow release & increase risk. Wolfgang Colsman explains how USP <1224> reframes transfer as a risk-based, auditable lifecycle. Read more: zontal.io/method-transfe… #USP1224 #GxP #lifesciences #AIData

Can your team quickly access R&D data to defend IP in a legal case? Legacy ELNs make it slow, manual, and risky. ZONTAL enables fast, traceable, audit-ready records—turning IP protection from reactive to proactive. zontal.io/intellectual-p… #IPProtection #LifeSciences

R&D teams are rich in data—but poor in data readiness. Fragmentation, missing metadata, and silos slow AI before it starts. Our Expert Series breaks down how to make data AI-ready (FAIR + trusted context). Read more: zontal.io/expert-series-… #LifeSciences #FAIRData #AI

Siloed data slows science. 82% of enterprises say silos disrupt workflows, and nearly 70% of data is never analyzed. FAIR data principles help transform fragmented research data into reusable, AI-ready insight. zontal.io/why-fair-data-… #FAIRData #LabInformatics #DataIntegrity

R&D isn’t limited by lack of data — it’s limited by fragmentation. When results, metadata, and validation evidence live in different systems, teams spend time reconciling instead of advancing decisions. zontal.io/accelerating-d… #DataConvergence #FAIRData #GxP #LifeSciences

Labs are slowed by fragmented systems and disconnected data. ZONTAL unifies ELNs, LIMS, and instruments into one FAIR, AI-ready workflow—automating data capture and accelerating insights. Less manual work. Better science. Learn more: zontal.io/fragmentation-… #LifeSciences

Validation isn’t a snapshot—it’s a lifecycle. USP 1220 frames analytical procedures as an evidence trail from development → PPQ (under routine conditions) → CPV (trend, detect drift, stay in control). zontal.io/usp-managing-e… #USP1220 #AnalyticalLifecycle #MethodValidation

Many labs are still application-centric (instruments, ELNs, LIMS) — which traps data in silos and slows reuse + innovation. A data-centric integration strategy flips that: data becomes the foundation. zontal.io/whitepaper-ado… #LifeSciences #DigitalTransformation #DataIntegration

At #SLAS2026 Boston, visit ZONTAL at Booth 1635 to keep lab data traceable, interpretable, and AI-ready—across instruments & apps. Meet with us: zontal.io/contact-page/ #LabAutomation #FAIRData #ScientificData #DataIntegrity

Validation ends up in binders. CPV lives in operations. ICH Q2(R2) & Q14 push teams to embed ongoing method verification into daily science—not just inspections. In Part 3 of his series, Wolfgang Colsman breaks it down: zontal.io/analytical-met… #CPV #ICHQ2R2 #DataIntegrity

Life sciences data is long-lived, complex & reused across teams—making traceability + context essential. Discover how Data Mesh & FAIR principles simplify access, speed insights & scale collaboration. ➤ Read more: zontal.io/life-sciences/ #LifeSciences #FAIRData #DataOps

Syngenta + ZONTAL: chemists can trigger analysis in a few clicks—ZONTAL orchestrates the workflow, captures results in a vendor-neutral format, and returns context back to the ELN record. zontal.io/fragmentation-… #FAIRdata #DigitalLab #DataIntegration #LifeSciences

Big news: ZONTAL just cleared a comprehensive audit by Bayer with zero critical or major findings!✅ This milestone confirms our platform’s GxP compliance, data integrity, and readiness for regulated pharma. Details here: zontal.io/successfully-c… #LifeSciences #GxP #DataIntegrity

Siloed systems shouldn’t stall discovery. 🧬 ZONTAL unifies LIMS, ELN, and instrument data into a GxP-compliant source of truth using FAIR principles. Stop repeating experiments—start innovating. zontal.io/scalable-platf… #DataIntegrity #FAIRData #LifeSciences

Part 2 of an 8-part series: why ICH Q2(R2), Q14 & USP <1220–1226> matter before GxP. Treat analytical methods as living systems—start with the ATP, design with intent, monitor, adapt. Build lifecycle habits now to avoid rework later. zontal.io/regulatory-for… #LifeSciences

Too many LIMS, not enough clarity? ZONTAL connects multiple LIMS into one searchable data layer—standardizing workflows, preserving audit-ready traceability, and making your data analytics/AI-ready (with less IT sprawl). zontal.io/lims-consolida… #LIMS #DataIntegration #FAIRData