Integration Backlog
Growing faster than IT can deliver. Every new instrument, every site expansion, every Contract Research Organization (CRO) partnership adds weeks to the queue — and programs can't wait.
For CDOs & CIOs
Governed Data Foundation for AI and Analytics
Your portfolio is scaling. ZONTAL provides the scientific data infrastructure that governs scientific data from ingestion through context to intelligence — so programs scale without proportional headcount.
Trusted by 6 of the 10 largest pharmaceutical companies in the world
And leading biotechs and agrochemical companies
6 of 10
Top-10 Pharma Companies
150+
Vendors
400+
Instrument Models
100+
Analytical Techniques
What Scales With You
What Portfolio-Scale Infrastructure Delivers
Merck has 30+ programs in Phase 3 (Merck Pipeline Review, 2025). Pfizer is planning ~20 pivotal starts in 2026 (JPM Healthcare Conference, Jan 2026). Every new program adds instrument integrations, data pipelines, validation requirements, and cross-functional dependencies. Here’s how governed infrastructure absorbs that growth.
Data Fragmentation
Blocking AI/ML initiatives before they start. Your data lake contains petabytes but lacks the scientific context, lineage, and governance that models need to be trustworthy.
Compliance Burden
Scaling linearly with portfolio size. Each program demands 21 CFR Part 11, Annex 11, and data integrity validation — multiplied across every site and every instrument.
Why Infrastructure, Not Applications
Applications Solve Workflows. Infrastructure Solves the Operating Model.
Each principle compounds on the last. At 10 programs, the difference is noticeable. At 30+ programs, it determines whether you scale or stall.
Integration Industrialization
Validated factories that connect instruments, systems, and sites — once built, reused everywhere. Every new integration strengthens the foundation.
Scientific Context & Lineage
Data is stored, connected, and traceable end-to-end. Full traceability from instrument to decision, with the scientific meaning preserved across programs.
Scientific Intelligence
Accelerated investigations, tech transfer, and CMC readiness — insights that no single application can deliver.
AI-Enabled Decisions
Stability intelligence, agentic workflow services, closed-loop lab automation, AI reporting, regulatory analysis, and predictive support — built on trusted, validated data.
Across Every Step
Governed External Data Exchange
When development work runs at Contract Research Organizations (CROs) and Contract Development and Manufacturing Organizations (CDMOs), data governance must extend across organizational boundaries. The same ingestion pipelines that govern internal instrument data apply identical validation, format standardization, and audit trail requirements to external partner data — without requiring partners to adopt your platform.
How do you evaluate whether your infrastructure is actually AI-ready? Apply the five-question framework →
Evidence That Matters to You
Measured Gains at Enterprise Scale
30 – 70%
Cumulative integration cost savings
0.2×
Instrument onboarding cycle time
$3 – 4M
Annual savings per department
~$50M
Enterprise-wide savings potential
Based on measured gains at enterprise pharmaceutical deployments
Want a custom analysis for your portfolio infrastructure?
Get a tailored Executive Brief with maturity scoring, headcount efficiency modeling, and reference architecture — based on the ICAD Principles.
Get the Executive Brief
Outcomes for Your Portfolio
Three Starting Points for Immediate Impact
AI Readiness
Your AI Strategy Starts with Data Infrastructure
77% of pharma labs expect to deploy AI within two years. Only 11% have the governed data foundation to make it work (Pistoia Alliance / Deloitte, 2024). As CDO or CIO, you own both sides of this gap.
01
AI on Ungoverned Data Fails Regulatory Review
AI models trained on unvalidated instrument data produce results that cannot pass GxP audit. Every AI initiative your organization pursues depends on governed scientific data infrastructure — the foundation you're building with ZONTAL.
02
Every Integration Builds AI Readiness
Each instrument connected through Integration Factories, each data point contextualized in the scientific knowledge graph, makes your portfolio more AI-ready. Integration and context investment today compounds into AI capability.
03
Supervised Autonomy, Not Black-Box AI
ZONTAL delivers supervised autonomy — AI-assisted workflows with configurable oversight, audit trails, and human-in-the-loop approval gates. The AI works on data your scientists govern and your regulators can trace.
How to Start
Start Where You Are
Read the ICAD Framework
The 16 principles that define scientific data infrastructure maturity — from integration through AI-enabled decisions. Evaluate the thinking before engaging.
Benchmark Your Organization
A 5-minute self-assessment that scores your current infrastructure maturity across Integration, Context, Intelligence, and AI. Get a personalized readiness score and recommended starting point.
Book a Portfolio Infrastructure Review
30-minute session with your team. We map your portfolio complexity to a phased deployment plan — no slides, just your systems mapped to ours.