Rourkela Steel Plant (RSP) is doubling capacity and modernizing to lead India's steel sector. Yet, siloed data and slow decision cycles threaten output, margin, and compliance.
SCIKIQ unifies RSP’s production, supply chain, and commercial data into actionable intelligence—so you see, understand, and fix issues before they hit EBITDA, cash, or compliance. Move from reactive firefighting to proactive value creation, at scale.
Captured from 21 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.
Get a real-time, unified view of production, inventory, and order fulfilment across blast furnaces, mills, and logistics—eliminating blind spots and manual reconciliations.
Operational EfficiencyTrace root causes of output shortfalls or quality deviations by mapping relationships across assets, suppliers, work orders, and compliance events.
Margin ProtectionAsk plain-language questions—'Why did BF-3 output drop last week?'—and get grounded, explainable answers with supporting data and recommended actions.
Competitive EdgeAutonomously resolve supply bottlenecks, trigger quality audits, or re-route shipments—protecting ₹120 Cr+ EBITDA and slashing cycle times.
Profitability85% faster data integration, 70% lower data-prep cost, 5x faster time-to-market for new products, and 95% fewer compliance violations—proven at global scale.
Growth & ComplianceBuilt 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 production, supply chain, quality, and commercial data for a single source of truth.
Model and trace relationships across assets, processes, suppliers, and compliance events.
Conversational, explainable answers to business questions—grounded in RSP’s real data.
Autonomous agents execute corrective or value-creating actions—direct to SAP, MES, or vendor portals.
Data remains in SAP, MES, LIMS, and portals—SCIKIQ integrates business concepts (assets, orders, vendors, batches) across systems for a live, contextual 360.
200+ pre-built connectors ingest data from SAP, MES, LIMS, and vendor portals—no code required.
Business entities (assets, orders, vendors, batches) are tagged and harmonized across systems.
Resolve duplicates, map relationships, and build a unified knowledge graph for root-cause and impact analysis.
Lineage, quality, and access controls are enforced for compliance and audit readiness.
Unified view of all production assets—status, yield, downtime, and maintenance history.
Live inventory positions, buffer stocks, and stockout risks across warehouses.
Order pipeline, fulfilment status, delays, and customer impact in one place.
End-to-end vendor performance, SLA compliance, and escalation history.
Defect rates, audit trails, and compliance events for every batch.
High-value customers, order status, penalties, and satisfaction signals.
85% faster integration and 60% lower TCO—no need to custom-build connectors, models, or agents. SCIKIQ’s data-fabric is proven in complex, asset-heavy industries.
Go beyond dashboards—SCIKIQ unifies, contextualizes, and acts on data. Not just reporting, but root-cause analysis and autonomous remediation.
Purpose-built for manufacturing: real entity 360s (Asset, Order, Vendor, Quality), knowledge graph, and closed-loop agents—out of the box.
Grounded, explainable answers—no hallucinations. SCIKIQ’s Copilot is tied to RSP’s real data, with full lineage, security, and compliance.
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 on production, supply chain, or compliance. Get grounded, explainable 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.
Unify real-time asset data from MES and SAP to monitor, diagnose, and resolve output dips and downtime.
Map vendor performance, SLA breaches, and supply events—triggering proactive interventions before production is hit.
Track order pipeline, fulfilment, and customer impact—automatically notify at-risk customers and adjust commitments.
Detect rising defect rates, trace root causes, and trigger QA audits—protecting margin and compliance.
Quantify the EBITDA impact of operational events, and close the loop with autonomous agents—protecting profitability.
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 SAP, MES, and LIMS for a unified Asset and Order 360.
Model relationships, enable root-cause tracing, and deploy AI Copilot for business Q&A.
Deploy autonomous agents for supply, quality, and customer interventions.
In 90 days, RSP moves from siloed reporting to autonomous, value-creating operations—protecting EBITDA, cash, and compliance.