Syngenta’s leadership in crop protection and seeds is built on science, innovation, and global reach—but data fragmentation and slow insight-to-execution cycles threaten margin, compliance, and competitive edge.
SCIKIQ unifies Syngenta’s enterprise, R&D, and field data into actionable intelligence—accelerating product launches, optimizing supply chains, and ensuring regulatory compliance at global scale.
Captured from 27 sources across strategy, leadership, lines of business, competition, geographies, capabilities and recent signals — and used to ground everything below.
The maturity curve runs from visibility, to explanation, to natural-language reasoning, to action — and each step depends on the one before it.
Gain a unified, real-time view of R&D, manufacturing, supply chain, and commercial performance. Break down silos across Seeds, Crop Protection, and Adama to spot risk and opportunity early.
Operational EfficiencyModel relationships between field trials, product batches, regulatory events, and customer outcomes. Trace cause and effect from lab to field to market, supporting root-cause analysis and compliance.
Compliance & RiskAsk complex questions—'Which product lines are at risk from new EU regulations?'—and get grounded, explainable answers that integrate data from SAP, LIMS, CRM, and field sensors.
Competitive AdvantageAutonomously trigger supply chain adjustments, regulatory filings, or customer notifications—closing the loop and protecting EBITDA, margin, and compliance without human lag.
Profitability & ComplianceAccelerate time-to-market for new seeds and crop protection products by 5x, and unlock new revenue streams through data-driven services for growers and partners.
GrowthBuilt bottom-up, because trust compounds upward: agents are only as safe as the copilot's grounding, the copilot only as reliable as the graph, the graph only as complete as the 360° model beneath it.
Unify Syngenta’s R&D, manufacturing, supply chain, and commercial data into a single, contextual business view.
Model the relationships between products, trials, regulations, and customers to power root-cause analysis and compliance.
Conversational interface for business, R&D, and compliance teams to query and interpret data in context.
Autonomous agents that execute corrective or value-creating actions across Syngenta’s systems.
Data stays in place—SCIKIQ integrates Syngenta’s core business concepts across SAP, LIMS, CRM, and RegOps, not just the systems. Each 360 is built for action, not just reporting.
200+ pre-built connectors ingest data from SAP, LIMS, CRM, and field sensors in real time.
Auto-resolve entities and map business context—linking batches, trials, compliance, and orders.
Model relationships in a unified knowledge graph—trace cause and effect from R&D to market.
Enforce lineage, data quality, and compliance—ensuring auditability and trust for every action.
Track every batch from manufacturing through compliance, inventory, and market release.
Unified view of distributors, growers, and orders—linking pipeline to fulfillment and risk.
End-to-end traceability of compliance actions, submissions, and audit trails.
Real-time inventory, DSI, and logistics status—anticipate build-ups and stockouts.
Link revenue recognition, working capital, and margin to operational events.
SCIKIQ delivers an 85% faster integration and 70% lower data-prep cost than custom builds—proven in complex, regulated industries. Syngenta’s teams get a unified, actionable data foundation in weeks, not years.
BI dashboards only report; SCIKIQ contextualizes and activates data, connecting root cause to autonomous action—closing the loop on compliance, supply chain, and commercial execution.
SCIKIQ models Syngenta’s real business entities (batches, trials, regulations, customers) in a knowledge graph—enabling traceability, compliance, and agentic automation beyond what a data lake or fabric alone can deliver.
Generic LLMs hallucinate; SCIKIQ’s Copilot is grounded in Syngenta’s own data, with explainable answers, full lineage, and the ability to trigger real business actions—trusted by boards and regulators.
When the four layers are in place, leadership sees a single live view — every number traceable to its source, every alert to its root cause.
Entities and their typed relationships as one connected, physics-driven graph. Drag nodes, scroll to zoom, click to inspect — or trace the live scenario from root cause to business outcome.
Ask complex, cross-silo questions and get clear, grounded answers—instantly. Language models supply the fluency; the graph supplies the truth.
Every agent draws on the same graph and semantic layer — then closes the loop with a real transaction in the source system.
“Can we trust it?” — answered by design, not by promise.
Every leader sees themselves — each use case builds on a business 360 and the four pillars it needs: 1 Enterprise 360 · 2 Knowledge Graph · 3 AI Copilot · 4 Agent Factory.
Unify regulatory, trial, and batch data to proactively surface and resolve compliance risks—protecting market access and margin.
Link SAP, inventory, and CRM data to dynamically reallocate inventory, prevent stockouts, and reduce DSI—freeing up $100M+ in working capital.
Integrate LIMS, SAP, and RegOps to automate cross-functional handoffs, compressing launch cycles and unlocking $120M in new product revenue.
Trace the impact of operational events on commercial pipeline and revenue, enabling proactive interventions and margin protection.
Link inventory, compliance, and revenue recognition for real-time visibility—unlocking cash and improving EBITDA.
Built once, the context layer becomes shared infrastructure — so each new AI initiative starts from enterprise context, not a blank integration backlog.
We would prove the context layer in three focused sprints — earning the right to scale with evidence, not slideware.
Connect core SAP, LIMS, and CRM systems and build the first Product Batch 360.
Model relationships, enable root-cause trace, and launch the AI Copilot for compliance and commercial teams.
Roll out autonomous agents for compliance remediation, inventory optimization, and product launch acceleration.
Syngenta achieves a unified, actionable data foundation—reducing regulatory risk, accelerating launches, and protecting $100M+ in revenue within 90 days.