Integrate Every Source.
Unify Every Dataset.
SCIKIQ Data Hub unifies data across SAP, cloud apps, legacy systems, data lakes, and warehouses into one governed intelligence layer — so your teams can build trusted analytics, GenAI, copilots, and AI agents without replatforming.
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60–90Days to Deploy
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80%Cost Reduction
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Gen AIReady by Design
From Raw Data to Decisions in 4 Steps
No complex pipelines. No ripping out existing systems. Just a clean path from your scattered data to reliable intelligence.
Connect Your Sources
Point SCIKIQ at any data source — on-prem databases, cloud warehouses, SaaS tools, APIs, flat files. No-code connectors get you live in minutes, not months.
Unify & Govern Automatically
SCIKIQ maps relationships, enriches metadata, and enforces data quality rules automatically. Your data arrives structured, labelled, and trustworthy.
Access via a Single Intelligent Layer
Every team — finance, ops, sales, engineering — queries one consistent, governed dataset. Cross-departmental visibility with zero duplication.
Power AI, Dashboards & Decisions
Feed GenAI agents, ML models, and BI tools with clean, semantically rich data. Your intelligence layer is finally ready for the AI era.
Benefits of SCIKIQ Data Hub
Zero Replatforming
Integrates with your existing stack. No rip-and-replace required.
AI-Ready by Design
Structured for GenAI, ML, and analytics
Trusted & Governed
Built-in data quality, lineage, and access control
Fast Time-to-Value
Deploy in weeks, not months
Cross-Department Visibility
Real-time business 360°
Scales with You
From one use case to enterprise-wide rollout
Enterprise-Grade Integration, Out of the Box
SCIKIQ unifies all your fragmented data from Excel sheets, business apps, SQL servers, Oracle, Teradata, DB2, Snowflake, SAP, and more into one intelligent, governed layer.
Forget manual exports, broken pipelines, or siloed systems.
SCIKIQ delivers real-time, multi-cloud, multi-vendor integration that lets teams access clean, connected, contextual data instantly.
Set up integrations in minutes.
Connect on-prem and cloud sources without replication.
Bring compute to your data — not the other way around.
One hub.
All systems.
Live, trusted data for analytics, reporting, and AI.
Our customers achieve
SCIKIQ Advantage
Because the traditional data stack is outdated.
Built for Every Team, Every Problem
Whether you are running finance reconciliations or training ML models, SCIKIQ Data Hub is the layer that makes it work.
Finance & Reporting
Reconcile data across ERP, banking systems, and spreadsheets automatically. Close the books faster with a single source of truth your CFO can trust.
→ Finance TeamsOperations & Supply Chain
Get live visibility across procurement, inventory, and logistics. Spot bottlenecks before they become problems with real-time operational dashboards.
→ Operations TeamsCustomer 360
Merge CRM, support, billing, and behaviour data into a unified customer profile. Give every team a complete picture without building a data warehouse from scratch.
→ Sales & CX TeamsCompliance & Risk
Maintain full data lineage, access control logs, and audit trails across every source system. Stay audit-ready without manual effort or separate compliance tools.
→ Risk & ComplianceAI & ML Development
Feed your models clean, labelled, semantically-enriched data from day one. Eliminate the 80% of ML project time typically lost to data preparation.
→ Data Science TeamsExecutive Intelligence
Give leadership a live, cross-functional view of the business. One governance layer, zero conflicting numbers in the boardroom.
→ C-Suite & LeadershipYour Data, Ready for the AI Era
Most data platforms were built before GenAI existed. SCIKIQ was built differently. Every layer — ingestion, governance, storage, and delivery — is designed to feed AI models with the kind of clean, structured, semantically-rich data they actually need.
Ask questions in plain language. Get answers from your actual data, not hallucinations.
- Natural language queries across all connected data sources
- Automated data lineage so AI outputs are explainable and auditable
- Semantic enrichment that helps models understand business context
- Pre-built connectors to leading LLM and ML platforms
- Role-based access that keeps sensitive data out of AI prompts
The New Standard for Modern Data Foundations
Questions We Hear All the Time
If you have a question that is not here, reach out and we will get back to you fast.
Have a data or AI challenge or
use case on your mind?
We would love to think through it with you.
Talk to us →