Rip-and-replace
Consolidating onto one vendor's lake is a multi-year programme — and value only appears at the end of it.
Product · Data Fabric
The AI-native data fabric
The AI-native data fabric
for everything you run.
The mega-platforms want you to move all your data onto their cloud — a multi-year, engineer-heavy, lock-in bet. SCIKIQ is the data fabric that activates the data you already have, wherever it lives: vendor-neutral, no-code and business-led, with a built-in System of Intelligence that turns any question into governed answers — and autonomous action.
Vendor-neutralno migration, no lock-in
No-codebusiness-led, not engineer-only
Agentica System of Intelligence
01The shift
“Move all your data” is the wrong bet
Your data lives across clouds, warehouses, SaaS apps and on-prem systems. The single-vendor platforms answer that by making you haul everything onto their lake — years of migration, an army of engineers and lock-in you can't walk back. A data fabric takes the opposite approach: leave data where it is, and lay one intelligent, governed layer across all of it.
Engineer-only
Notebooks, SQL and pipelines put the platform out of reach of the business teams who actually ask the questions.
Single-cloud gravity
Once your data and workloads live in one ecosystem, leaving gets expensive fast. Optionality quietly disappears.
Priced for giants
Enterprise licensing and specialist teams keep a modern data foundation out of mid-market reach.
$4.55BData fabric market by 2026 (from $3.18B in 2025)
21.8%Annual market growth
AnyCloud, warehouse or on-prem — no migration
OneGoverned layer across the whole estate
02System of Intelligence
From raw data to autonomous action
Every platform is now racing to own the “system of intelligence” — the agentic layer on top of your data. SCIKIQ built it business-first and vendor-neutral: four layers that take you from what happened, to why, to just ask, to make it act.
What is happening?
Enterprise 360
Unify every source into a real-time, 360° view of the business — without moving the data first.
Why is it happening?
Knowledge Graph
Semantic relationships and active metadata reveal the context behind the numbers — the connections a table never shows.
Just ask.
AI Copilot
Query the entire estate in plain language and get trusted, governed answers — no SQL, no tickets, no waiting on a data team.
Make it act.
Agent Factory
Deploy governed AI agents that turn insight into autonomous action — monitoring, deciding and acting across your data, with guardrails and lineage.
03The difference that matters
SCIKIQ vs the single-vendor stack
Same goal — one trusted view of your data and AI. A very different bet on how you get there. The mega-platforms optimise for owning your data; SCIKIQ optimises for activating it, wherever it already lives.
Capability
SCIKIQ
Single-vendor stacksFabric / Snowflake / Databricks-style
Works across the clouds, warehouses & on-prem you already run
Partial
No data migration — activate data where it lives
No-code and business-led, not engineer-only
Partial
Semantic knowledge graph & active metadata
Partial
Governed data products & monetisation built in
Partial
Agentic action — deploy AI agents on your data
Partial
Live in weeks, not multi-year programmes
Vendor-neutral — no ecosystem lock-in
Accessible beyond the enterprise budget
Comparison reflects typical architecture and go-to-market of single-vendor lakehouse platforms; capabilities vary by product and tier.
04Inside the fabric
What sets the SCIKIQ fabric apart
A first-of-its-kind AI-driven business data platform that delivers a trusted, real-time view of data across the enterprise — agnostic to multi-vendor and multi-cloud environments. Explore what makes it different.
Complexity abstracted, decisions returned
Find, access and consume data through graphs and metadata search rather than tickets and pipelines.
Semantic knowledge graphs
Find, access, integrate, share and consume data through graphs and metadata search rather than tickets.
Active metadata management
Metadata that works for you continuously, not a catalogue that goes stale the week after it is built.
Embedded machine learning
ML built into the fabric itself — essential components of a modern data architecture, not bolted on.
No-code, drag and drop
Business teams focus on decisions and outcomes instead of wrestling with pipelines.
The four rights of information access
Enhancing data management efficiency — the right data, to the right people, at the right time, in the right form.
Find it fast
Knowledge graphs and metadata search let business users quickly find and access what they need.
Cost, optimised
No buying multiple tools with redundant, overlapping capabilities and then facing integration nightmares.
Business in control
Teams stay in control of their data assets and become part of the data strategy process.
Answers with confidence
Stakeholders get a trusted, real-time view of data across the enterprise, at speed.
Collect, augment, curate, control, consume
Every capability sits on one intelligent data fabric — catalog, workflow orchestration and security controls — with enterprise-grade reliability, scale and performance underneath.
05The architecture
200+ sources to governed consumption — on one fabric
Cloud-agnostic by design: connect any source, curate and govern it in place, and serve every consumer — BI, Data-as-a-Service, Model-as-a-Service, a Data Product Factory and an API hub — with real-time observability across the estate.
85%Faster data integration
90%Lower IT integration cost
200+Pre-built connectors, structured & unstructured
<6 moTypical implementation
06What's next
A fabric that gets more autonomous over time
The fabric is the foundation; intelligence is the compounding return. As your knowledge graph deepens, the platform does more of the work — and your teams move from running reports to shipping products and agents.
Agentic by default
Governed AI agents monitor, decide and act across your data — with full lineage and guardrails, not a black box.
Data products, not projects
Package trusted data into reusable, monetisable products — Data-as-a-Service, Model-as-a-Service and more.
Natural language everywhere
Every layer answers in plain language, so the whole business — not just engineers — can build with data.
Self-optimising
Active metadata and ML tune quality, access and performance continuously as the estate changes.
Weighing a fabric against a rip-and-replace platform?
Bring your estate — we'll map it live and show you the fabric on your own data. No pitch, no form maze.
Frequently asked questions
What is SCIKIQ Data Fabric?
Data Fabric is a unified architecture that activates data in place through Enterprise 360, a Knowledge Graph, an AI Copilot and an Agent Factory — without moving all of your data.
Does a data fabric mean moving all my data?
No. SCIKIQ treats ‘move all your data’ as the wrong bet; the fabric works across your existing sources instead of forcing a single-cloud, rip-and-replace consolidation.