Scientific Context & Lineage
Raw data is table stakes. Scientific context — who produced what, from what, and what happened to it — is where infrastructure becomes strategy.
The context engine builds, maintains, and governs the context graph across four domains — portfolio, materials, analytical, and infrastructure — from programs and products through samples, methods, and instruments to sites. Every relationship authored makes the next one faster.
Your Context Infrastructure, Ready
Connected workspaces, long-term data preservation, and governed scientific workflows — turning raw instrument output into traceable, intelligence-ready context. Proven at six of the top ten pharmaceutical companies.
Digital Lab
Connected scientific workspace. Real-time data sharing, collaboration, and instrument-to-scientist connectivity — the place where context is created as science happens.
- Real-time data sharing across teams
- Instrument-to-scientist live connectivity
- Collaborative experiment management
- Governed data capture at the source
Your lab is already digital. Here is what it enables next.
Legacy Consolidation
ELN preservation and LIMS harmonization with governed metadata. Content extraction from proprietary systems, compliance-ready archival formats, and legal search. IP protection for both legacy and active data.
- ELN and LIMS content extraction and migration
- Compliance-ready archival formats
- Full-text legal and IP search
- Audit-ready metadata preservation
Your IP is protected. Here is how it compounds over time.
Operations Hub
Approval gates, scheduling, compliance workflows, and audit trails. The operational governance infrastructure that keeps science moving within regulatory bounds.
- Multi-stage approval workflows
- Scheduling and resource allocation
- 21 CFR Part 11 audit trails
- Compliance status dashboards
Your governance runs. Every approval is traceable.
Methods Hub
Analytical SOPs, method parameters, qualification status, and transfer tracking. The governed methods registry that follows methods across sites and programs.
- Method parameter version control
- Qualification and validation status
- Cross-site method transfer tracking
- SOP linkage and compliance
Your methods are versioned and traceable. Transfers are governed.
Chemistry Hub
Chemical structures, compound identifiers, material properties, and reaction data. The governed chemical knowledge infrastructure across your portfolio.
- Structure search and registration
- Compound identifier governance
- Material property management
- Reaction data tracking
Your chemical knowledge is governed. Every structure is searchable.
Image Hub
High-content screening, microscopy, and scientific image management with spatial metadata. Governed image data at scale for visual analytics.
- High-content screening workflows
- Microscopy image management
- Spatial metadata capture
- Image series version control
Your images carry context. Every pixel has provenance.
From Products to Scientific Context
The capabilities below are what these products enable when connected. Every Hub module, every Digital Lab workspace, every governed dataset feeds into these context capabilities — and into the AI-ready scientific context graph that Analyze (Scientific Intelligence) and Decide (AI-Enabled Decisions) build on. Without governed scientific context, AI models see raw numbers without meaning. With it, they see experiments, relationships, and lineage.
Sample Genealogy
Who produced what, from what, and what happened to it. Traceable lineage from raw material through formulation, manufacturing, stability, to filing. Not inferred from timestamps or folder names — authored, versioned, governed.
- Full material-to-filing traceability
- Authored and versioned relationships
- Cross-program genealogy views
- Parent-child batch tracking
Scientific Context Builder
Master data curation, relationship authoring, and context templates. A new IgG1 program gets a templated context structure — the template pre-populates, reality fills in. Every relationship authored makes the next program faster to set up.
- Context templates per modality
- Relationship authoring interface
- Master data curation workflows
- Program-level context scaffolding
Lineage Governance Dashboard
Completeness scoring per program, product, and batch. Orphan detection. Conflict resolution queue. Coverage grows with every integration — from initial onboarding through full governance. The compound curve — visible in your own governance data.
- Per-program completeness scoring
- Orphan entity detection
- Conflict resolution work queue
- Governance trend reporting
Cross-System Reconciliation
LIMS says BAT-0000328, ERP says B328-TF6024, ELN says "March batch 3." The context engine surfaces conflicts, the scientist confirms, and the relationship is governed from that point forward.
- Multi-system identifier matching
- Name normalization rules engine
- Scientist-in-the-loop confirmation
- Governed resolution audit trail
How Contextualize Feeds Analyze
Without context, Analyze is analytics on unnamed data. With context, it becomes stability intelligence across named programs, CMC readiness across traced batches, and portfolio views across governed lineage.
Context is what separates AI-ready data from raw data. An AI model trained on governed scientific context produces trustworthy results. An AI model trained on uncontextualized instrument output does not.
Scientific Context & Lineage
Governed relationships, sample genealogy, and cross-system reconciliation
Scientific Intelligence
Accelerated investigations and tech transfer
Every relationship identified in Contextualize makes Analyze intelligence richer. Every method tracked makes cross-program analysis more powerful. Every governed identifier makes reconciliation automatic instead of manual.
Your ZONTAL Journey
Contextualize establishes the CONTEXTUAL stage. Your data has scientific meaning — governed relationships, traceable lineage, and reconciled identifiers. The foundation for intelligence.
Connected
Instruments integrated, data flowing, metadata enriched
Contextual
Scientific context graph, governed lineage, reconciled identifiers
Intelligent
Accelerated investigations and tech transfer
Autonomous
Portfolio intelligence, AI decisions, supervised automation
Each Principle Compounds on the One Before
Context gives raw data meaning. Without governed lineage, the intelligence above produces noise. Without integration below, there is nothing to contextualize.
Integration Industrialization
Governed factories that compound with every build
Scientific Context & Lineage
Governed context graph and sample genealogy
Scientific Intelligence
Accelerated investigations and tech transfer
AI-Enabled Decisions
Agentic workflows & configurable automation
“The data that I’m working with — I know has much higher integrity.”
Ready to Unlock the Context in Your Data?
See how governed context turns raw instrument output into traceable, searchable scientific knowledge — ready for cross-program intelligence from day one.