Siemens Gamesa faces margin pressure and reputational risk from turbine quality issues, rising costs, and the need to deliver on sustainability and uptime. SCIKIQ unifies siloed operations, asset, and field data into actionable intelligence — enabling proactive risk mitigation, faster incident response, and data-driven growth.
Contextualize every turbine, customer, and supply chain event — and turn data into profit, compliance, and competitive edge.
Captured from 25 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.
Unifies turbine, supply chain, service, and financial data to provide real-time visibility into asset health, warranty exposure, and margin leakage across global operations.
Operational EfficiencyModels causal links between component defects, supplier lots, field incidents, and financial impact — enabling root-cause analysis and risk forecasting.
Compliance & RiskLets operations, finance, and quality leaders ask questions like 'Which turbine models are driving warranty claims?' and get grounded, explainable answers.
Competitive AdvantageAutonomously triggers supplier recalls, field service dispatch, or contract renegotiations to protect margin and reputation — with full audit trail.
ProfitabilityQuantifies and traces the impact of quality issues from specific suppliers to global warranty reserves and EBITDA — supporting board-level risk management.
Cash & Working CapitalBuilt 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.
Integrate SAP, field service, SCADA, warranty, and financial data for a unified view of asset and operational health.
Model relationships between components, suppliers, incidents, and financial outcomes to enable root-cause and risk propagation analysis.
Natural language Q&A over unified data, grounded in the knowledge graph, for explainable, role-specific insights.
Trigger autonomous workflows — from supplier notifications to field service scheduling — to close the loop and realize value.
Data remains in your core systems. SCIKIQ integrates business concepts — turbines, incidents, suppliers, contracts, and customers — across SAP, SCADA, ServiceNow, and more, creating AI-ready 360s.
200+ pre-built connectors ingest data from SAP, SCADA, ServiceNow, QA, and more — no code required.
Business concepts (turbines, suppliers, incidents, contracts) are mapped and enriched with metadata and relationships.
Entities are deduplicated and linked across systems, forming a unified business graph for root-cause and impact analysis.
Lineage, quality, and access controls ensure compliance, auditability, and trust.
All turbines, their components, incident history, and warranty status — unified for risk and performance management.
Every utility, developer, and buyer — contracts, claims, uptime, and satisfaction in one place.
Supplier quality, audit history, defect rates, and spend — for proactive risk and compliance.
Field ops, ticket backlog, parts inventory, and dispatch — for cycle time and cost control.
Margin, warranty reserves, claims, and cash conversion — for CFO and board visibility.
SCIKIQ delivers a unified, AI-ready data fabric in under 6 months — 85% faster than custom builds, with 60% lower total cost and proven wind-industry connectors.
Goes beyond reporting: SCIKIQ contextualizes data, models causality, and closes the loop with autonomous agents — not just dashboards.
Purpose-built for asset-heavy, regulated industries: pre-built wind energy 360s, knowledge graph, and compliance lineage out of the box.
Every answer is grounded in Siemens Gamesa's real data, with full lineage, explainability, and compliance — not hallucinated summaries.
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 plain-language questions about turbine risk, supplier impact, and financial exposure — all grounded in Siemens Gamesa's unified data and knowledge graph. 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 SCADA, ServiceNow, and inventory data to optimize field ops, accelerate repairs, and boost fleet uptime.
Trace warranty claims to root causes, model financial exposure, and automate supplier cost recovery.
Map supplier quality, audit trails, and incident propagation to surface risks before they hit margin or compliance.
Leverage Asset and Customer 360s to demonstrate reliability, differentiate bids, and speed time-to-market.
Ensure every supplier action, incident, and recall is fully auditable and regulatory filings are never missed.
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.
Rapidly integrate SAP, SCADA, ServiceNow, and Warranty data to build Asset and Vendor 360s.
Build the Knowledge Graph and enable root-cause and impact analysis across the business.
Deploy autonomous agents for recall, retrofit, and compliance closure — closing the loop from insight to action.
One unified, contextualized data platform powering margin, risk, and compliance gains across Siemens Gamesa's wind business.