GMR’s vision is to create lasting institutions and deliver value at scale through responsible, innovative infrastructure. Yet, with data fragmented across airports, energy, and transport, operational blind spots persist—impacting risk, transparency, and excellence.
SCIKIQ contextualizes and activates GMR’s enterprise data—enabling cross-asset visibility, rapid root-cause analysis, and AI-driven action. The result: accelerated response, protected revenue, and a future-ready digital core.
Captured from 26 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.
Unify operational, asset, and customer data across airports, energy, and transport—enabling real-time visibility into disruptions, asset health, and service impacts.
Unified ViewModel relationships across assets, vendors, systems, and events—tracing cascading failures from root cause to revenue impact, and surfacing hidden risks.
Connected IntelligenceAsk complex operational or commercial questions in natural language—instantly get context-rich, explainable answers grounded in real data.
Conversational InsightsAutonomously trigger remediation—reroute resources, notify vendors, or launch workflows to minimize disruption and protect revenue.
Autonomous ActionBuilt 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 and harmonize data from airports, energy plants, transport networks, and vendors for a single source of truth.
Map interconnected relationships—assets, vendors, events, compliance, and customer journeys—across the enterprise.
Conversational interface for operational, commercial, and risk queries—grounded in live data and graph context.
Trigger autonomous workflows—remediation, escalation, or optimization—based on real-time data and graph insights.
Enterprise 360 is the foundation every layer above reuses. We don't integrate systems — we integrate business concepts. GMR Group's data stays where it is; SCIKIQ connects, contextualizes and resolves it into trusted entity 360s.
200+ no-code connectors pull from every source — no rip-and-replace, no data movement.
The metadata & contextualization engine maps each field to a shared business glossary.
Entity resolution stitches records across systems into one record per real-world entity.
Lineage, quality & access control attach to every entity — so the 360 is trusted.
One trusted profile per customer — across every channel and system.
Every asset with its live health, history and failure risk.
Orders, service levels and capacity in one operational view.
Every supplier with SLA, spend and delivery risk.
Revenue, cost and exposure traceable to their operational drivers.
SCIKIQ delivers 85% faster integration and 90% lower IT cost than custom builds—no-code, AI-first, and proven at global scale.
Goes beyond dashboards—unifies, contextualizes, and activates data for autonomous action, not just reporting.
Purpose-built for complex, cross-asset infra ops—knowledge graphs, GenAI, and agentic automation out-of-the-box.
Grounds all answers in enterprise data and graph context—explainable, auditable, and actionable.
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 the SCIKIQ Copilot about any operational, customer, or commercial impact—get clear, contextual answers. 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.
Detect, trace, and resolve asset failures or service disruptions across airports, energy, and transport—minimizing downtime and SLA risk.
Instantly estimate commercial impact from operational incidents—enabling rapid mitigation and transparent reporting.
Reroute flows, notify staff, and proactively manage customer communications when delays or outages occur.
Auto-log incidents, actions, and regulatory reporting—reducing compliance violations by up to 95%.
Monitor vendor performance, trigger escalations, and ensure accountability with full lineage and audit.
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 airport, asset, and vendor systems; build live knowledge graph for incident tracing.
Deploy AI Copilot for plain-language queries; implement first autonomous remediation agents.
Extend to energy and transport BUs; launch data products for internal and partner use.
GMR achieves real-time, cross-asset visibility, rapid incident response, and AI-driven operational excellence—protecting revenue and customer experience.