Portfolio Decisions in Hours, Not Weeks
Go/no-go decisions at portfolio scale rely on assembling data from dozens of disconnected systems — a process that takes days or weeks of manual data gathering. ZONTAL delivers role-based portfolio intelligence with real-time cross-program visibility, so decisions are based on current data rather than tribal knowledge.
Portfolio Decisions Are Flying Blind
Portfolio-level go/no-go decisions require assembling intelligence from every active program — but today, that intelligence lives in disconnected dashboards, spreadsheets, and individual scientists' heads. The result: decisions based on stale data, duplicated effort, and invisible cross-program risks.
Tribal Knowledge Decisions
Portfolio-level go/no-go decisions depend on information that lives in individual scientists' heads, scattered email threads, and ad-hoc presentations. By the time data is assembled, the decision window may have passed or conditions may have changed.
No Cross-Program Visibility
Each program team tracks their own metrics in isolated dashboards, spreadsheets, and status decks. Cross-program patterns — like formulation insights that apply across IgG1 products or degradation trends spanning multiple programs — remain invisible.
Role-Specific Intelligence Gaps
CDOs need portfolio risk views, Lab Directors need capacity utilization, CMC Leads need readiness gaps, and Regulatory needs submission pipeline status. Each stakeholder manually reconstructs their own view of the same underlying data.
From Siloed Tracking to Portfolio Intelligence
ZONTAL transforms disconnected program dashboards into a unified portfolio intelligence infrastructure. Cross-program patterns surface automatically, role-based views deliver tailored intelligence, and AI-assisted decision briefs compress decision cycles from weeks to hours.
Portfolio Dashboard
All programs visible in a single view with health status badges (In Progress, Complete, At Risk). Drill from portfolio overview to individual program details with one click.
Cross-Program Intelligence
Automatic detection of patterns spanning multiple programs: His pH 6.0 optimal in 3/3 IgG1s, PS-20 degradation flagged across 3 programs, formulation patterns, stability comparisons.
Role-Based Views
Tailored intelligence for each stakeholder: CDO (risk signals, investment priorities), Lab Director (throughput, capacity, utilization), CMC Lead (readiness gaps, filing timelines), Regulatory (submission pipeline, cross-reference completeness).
Decision Briefs
AI-assisted generation of executive briefs with key risks, recommendations, and supporting evidence — all sourced from governed, current data in the platform.
Three Principles Compounding to Accelerate Decisions
Portfolio Decision Speed compounds from three principles working together. Each principle adds capability that the next principle builds on — from connected context to cross-program intelligence to AI-enabled decision support.
Cross-program intelligence depends on governed, contextualized data across
every connected system.
Evaluate readiness with the
five-question framework →
Scientific Context & Lineage
Digital Lab and Platform Modules build the scientific context graph — ontology mapping, cross-system identity reconciliation, and full lineage from instrument through result to insight. Cross-program entity reconciliation connects shared methods, reference standards, and formulation components wherever they appear across the portfolio.
- Ontology mapping across all data domains
- Cross-system identity reconciliation
- Full lineage graph: instrument → method → sample → result
- Portfolio-level context graph connecting shared methods and reference standards
Scientific Intelligence
Cross-program analytics surfaces trends, anomalies, and predictive signals that manual review misses — proven AI capabilities running on governed, validated scientific data. Cross-program pattern detection, readiness scoring, and risk assessment surface insights invisible in siloed programs and power the portfolio dashboard.
- Cross-program trend detection and comparison
- Anomaly detection and signal identification
- Predictive modeling on governed data
- CMC readiness scoring and portfolio health computation
AI-Enabled Decisions
AI-assisted workflows consume governed data, scientific context, and intelligence to generate actionable outputs — with configurable oversight from full autonomy to human-in-the-loop approval gates. AI-assisted executive decision briefs, risk prioritization, and resource allocation recommendations turn weeks of manual assembly into on-demand decision support.
- Guided workflow orchestration
- Configurable oversight — from approval gates to full autonomy
- Role-based views and reporting
- AI-assisted executive decision briefs with resource allocation recommendations
Trusted by 6 of the 10 largest pharmaceutical companies in the world
And leading biotechs and agrochemical companies
Build the Foundation for Portfolio Intelligence
Cross-program intelligence and role-based portfolio views require governed, contextualized data across every program. Start building the data foundation today.