SCIKIQ × Siemens GamesaPitch book

Activating wind energy data for value

From turbine fleet risk tosustainable margin— with contextual AI at scale

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.

01Enterprise 360What is happening?

02Knowledge GraphWhy is it happening?

03AI CopilotTell me, in plain language

04Agent FactoryDon't just tell me — fix it

SCIKIQ × Siemens GamesaThe problem

Why now

AI isn't an algorithm problem. It's a data-readiness problem.

~70%

of enterprise data goes unused

~12%

of orgs are ready for agentic AI (despite ~80% investing)

$2.3T

of digital spend not delivering ROI

For Siemens Gamesa: 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.

SCIKIQ × Siemens GamesaWhat SCIKIQ does

The platform

Contextualizing data — don't just collect data, activate it.

SCIKIQ is an AI-first, no-code data-fabric platform that unifies siloed enterprise data into AI-ready data products — for enterprise-scale intelligence and data monetization.

Connect

200+ connectors — every source, no latency, no code.

Curate

Contextualize, model and prepare data for every team.

Control

Governed, lineage-traced, compliant by design.

Consume

Copilots, agents, data products and APIs that act.

SCIKIQ × Siemens GamesaThe architecture

From silos to autonomous execution

Four layers — each makes the next trustworthy

01

Enterprise 360 What is happening across turbines, supply chain, and service?

Integrate SAP, field service, SCADA, warranty, and financial data for a unified view of asset and operational health.

02

Knowledge Graph Why are incidents and losses occurring?

Model relationships between components, suppliers, incidents, and financial outcomes to enable root-cause and risk propagation analysis.

03

AI Copilot Explain in plain language — and recommend action.

Natural language Q&A over unified data, grounded in the knowledge graph, for explainable, role-specific insights.

04

Agent Factory Autonomously resolve and optimize.

Trigger autonomous workflows — from supplier notifications to field service scheduling — to close the loop and realize value.

SCIKIQ × Siemens GamesaEnterprise 360 — the build

Layer 1 · Enterprise 360 — the build

How we unify Siemens Gamesa's data into one business 360

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.

Systems today — siloed

SAP S/4HANA (ERP, finance, procurement)SCADA (turbine telemetry)ServiceNow (field ops)Warranty Mgmt (claims, reserves)QA System (quality, audits)CRM (Salesforce)SAP MM (inventory)Contract MgmtCompliance Portal

Unify · no data movement

Connect

200+ pre-built connectors ingest data from SAP, SCADA, ServiceNow, QA, and more — no code required.

Contextualize

Business concepts (turbines, suppliers, incidents, contracts) are mapped and enriched with metadata and relationships.

Resolve & model

Entities are deduplicated and linked across systems, forming a unified business graph for root-cause and impact analysis.

Govern

Lineage, quality, and access controls ensure compliance, auditability, and trust.

Business 360s — entities

Asset 360SAP S/4HANA, SCADA, QA System

Customer 360CRM, SAP S/4HANA, Contract Mgmt

Vendor 360SAP S/4HANA, QA System, Audit Trail

Service 360ServiceNow, SAP MM, Asset Registry

Finance 360SAP S/4HANA, Warranty Mgmt, Contract Mgmt

These 360s are linked via the Knowledge Graph to surface root causes, financial impact, and action triggers.

SCIKIQ × Siemens GamesaA day in the life

One incident, end to end

From a single signal to revenue impact — traced

Defe

5.X onshore turbines show a spike in downtime and field incidents.

Blad

SCADA flags blade bearing failures in multiple units, triggering field alerts.

Root

Analysis links failures to Supplier D's component lots with high defect rates.

Qual

QA raises non-conformance reports and requests supplier audit on Supplier D.

Warr

Warranty claims surge as customers file for compensation on affected turbines.

Fina

SAP S/4HANA shows warranty reserves rising, impacting EBITDA margin.

Onsh

Margin on onshore contracts drops as claims and repair costs escalate.

Key

Utility A flags dissatisfaction and threatens future contract renewal.

Supp

Automated workflow issues a recall for Supplier D's defective lots.

Fiel

Field ops coordinate retrofit of affected turbines to restore uptime.

Retr

Retrofit actions resolve the defect, avoiding further downtime and claims.

Comp

Audit trails confirm compliance closure and regulatory reporting completed.

SCIKIQ × Siemens GamesaThe control tower

The outcome

One live, trusted view — for the people who run Siemens Gamesa

Fleet Uptime

96.3%

-1.2%

Warranty Claims (YTD)

€412M

+€63M

EBITDA Margin

7.8%

-2.1%

Service Response Time

36 hrs

+8 hrs

Cash Conversion Cycle

92 days

+11 days

Compliance Incidents

2

+2

Surge in warranty claims from 5.X onshore turbines due to component defects traced to Supplier D.

SCIKIQ × Siemens GamesaWhy SCIKIQ

Credibility

Proven — not a science project

Track record

Among the top augmented-BI platforms (Forrester)
NASSCOM Top-10 Deep-Tech Startup (India)
Featured at MWC Barcelona & AWS re:Invent for GenAI
World's first GenAI fare-rule engine for an international airline
Powers a global logistics & supply-chain leader
200+ pre-built connectors · India · USA · UAE

Why not the alternatives

vs. building it yourself

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.

vs. point tools / BI dashboards

Goes beyond reporting: SCIKIQ contextualizes data, models causality, and closes the loop with autonomous agents — not just dashboards.

vs. generic data fabric / lake

Purpose-built for asset-heavy, regulated industries: pre-built wind energy 360s, knowledge graph, and compliance lineage out of the box.

vs. raw LLMs/chatbots

Every answer is grounded in Siemens Gamesa's real data, with full lineage, explainability, and compliance — not hallucinated summaries.

SCIKIQ × Siemens GamesaUse cases

Across the business

Where it pays off, across the business

COO, Service

Reduce downtime and incident backlog across the onshore fleet

Unify SCADA, ServiceNow, and inventory data to optimize field ops, accelerate repairs, and boost fleet uptime.

Asset 360, Service 360

1234

CFO, Finance

Contain warranty reserve growth and protect EBITDA margin

Trace warranty claims to root causes, model financial exposure, and automate supplier cost recovery.

Finance 360, Vendor 360

1234

Head of Quality

Proactively manage supplier risk and compliance

Map supplier quality, audit trails, and incident propagation to surface risks before they hit margin or compliance.

Vendor 360

1234

Head of Offshore

Accelerate new turbine launches and contract wins

Leverage Asset and Customer 360s to demonstrate reliability, differentiate bids, and speed time-to-market.

Asset 360, Customer 360

1234

Chief Compliance Officer

Automate audit trails and regulatory reporting

Ensure every supplier action, incident, and recall is fully auditable and regulatory filings are never missed.

Vendor 360, Service 360

1234

SCIKIQ × Siemens GamesaThe ambition

The SCIKIQ Data Activation Pyramid

From data chaos to autonomous wind business

Agent FactoryAutonomous execution

AI CopilotSemantic Q&A, grounded in business context

Knowledge GraphRelationships, causality, explainability

Enterprise 360Unified, AI-ready business data

SCIKIQ × Siemens Gamesa90-day pilot

The path forward

Prove it in 90 days — then scale

Phase 1 · 30 daysConnect & unify

Ingest turbine, incident, and supplier data
Map business concepts and relationships
Initial dashboards for fleet health and supplier risk

Phase 2 · 60 daysContextualize & reason

Model defect propagation and warranty exposure
Enable AI Copilot Q&A for operations and finance
Pilot incident trace and margin impact scenarios

Phase 3 · 30 daysActivate & automate

Configure Supplier Recall and Field Retrofit agents
Automate compliance and audit workflows
Measure margin, uptime, and compliance gains

SCIKIQ × Siemens GamesaThe ask

Next steps

Where to start

Move the needle on warranty risk, margin, and compliance in 90 days.

1Run a 360° data readiness assessment across SAP, SCADA, and ServiceNow

2Pilot the Knowledge Graph and Copilot on the 5.X warranty scenario

3Activate Supplier Recall and Compliance agents for rapid value

sales@scikiq.com · Let’s protect margin, accelerate incident closure, and build Siemens Gamesa’s data-driven edge — starting now.