NASSCOM League of 10
Top Deep-Tech Startup 2024
YourStory Tech30
Most Innovative Startup
Enterprise-Ready
GCC • India • USA

From Data Chaos to
AI-Ready Data Products In 60-90 Days

🏗️ Build from Scratch
Replace 5-10 tools with one GenAI-native platform
🔌 Bolt-On Intelligence
Add NLQ & agentic AI to what you already have
60-90 days
vs. 18 months traditional
80% less
$100K vs. $1M TCO
Zero migration
works with your stack

Traditional Data Stack vs. SCIKIQ

Time to Production
18-24 months
Total Cost
$300K-$1M
Team Size
10-15 people
GenAI Ready
No
Vendor Lock-In
Yes
Time to Production
60-90 days
Total Cost
$100K-$200K
Team Size
2-3 people
GenAI Ready
Built-in
Vendor Lock-In
Cloud-agnostic
Calculate Your Savings

Trusted By Industry Leaders

American Express
Landmark Group
Aster Hospitals
ECU Worldwide
CBI Bank
PCBB
EFS Facilities
ANDH Catering
ITQ
American Express
Landmark Group
Aster Hospitals
ECU Worldwide
CBI Bank
PCBB
EFS Facilities
ANDH Catering
ITQ
Trusted by Global Enterprises
Banking
Healthcare
Retail
Aviation
Manufacturing
Built Different

Why SCIKIQ Beats Point Solutions

Not another integration tool. Not another BI dashboard. A complete intelligence platform.

vs. Boomi/Incorta

Unified Data + Metadata + AI
Not Duct-Taped Tools

One semantic layer unifies data, metadata, business logic, and GenAI intelligence. Competitors bolt AI onto siloed systems.

1
Semantic Layer
100%
AI-Native
LLMs + Knowledge Graph in every layer
NLQ understands your business context—not just SQL
Metadata as intelligence, not documentation
Auto-lineage, impact analysis, semantic search built-in
Them: Missing Data Governance, AutoML, NLQ, metadata & more
vs. All

4-6 Weeks to Production
Not 18-Month DIY Projects

Proven 12-week methodology: Week 1-2 (pilot), Week 3-6 (expand), Week 7-12 (scale). Databricks/Fabric need 12-18 months.

18
months
→
6
weeks
200+ pre-built connectors
SAP, Salesforce, Oracle, APIs—out of the box
Zero learning curve
Business users click, not code
Them: DIY assembly, hiring data engineers, tribal knowledge
vs. Databricks/Azure

True Cloud Agnostic
Layer or Replace, Your Choice

Zero vendor lock-in. Databricks locks you to DBX format. Azure chains you to Microsoft. SCIKIQ runs anywhere—or connects to what you have.

AWS
Azure
GCP
On-Prem
Deploy on AWS, Azure, GCP, on-premises
Your infrastructure, your control, your data sovereignty
Or bolt-on to Snowflake, Databricks, BigQuery
No migration—add intelligence layer via VPC peering
Them: Proprietary formats, ecosystem lock-in, trapped data
The SCIKIQ Advantage
$200K
vs. $500K-$1M+ (Incorta/DOMO)
2-3 people
vs. 10-15 specialists needed
Ready now
vs. new AI features in 2025
CUSTOMER SUCCESS

Real Problems. Real Solutions. Real Results.

Sound familiar?
📊 CFO reports taking weeks
🔒 Business users locked out
❌ Data quality chaos
🤖 No NLQ or GenAI
💸 $5M+ in disconnected tools
SCIKIQ solved it in 60-90 days.
Here's how:

Facility Management

25+ Countries • 30+ Systems

Problem: CFO's Q3 report took 2 weeks across 4 teams. Inter-departmental data dependencies and delayed book close paralyzed decision-making.

Solution: Connected GEP, Darwinbox, JD Edwards, Talim, FMPro, Madad + 24 more systems. Finance 360, HR 360, Procurement 360 delivered in 6 weeks.

2 weeks → 2 min
Report turnaround • Real-time book close • 9,100+ attributes unified

Banking Services

210+ Banks • CECL Compliance

Problem: CECL onboarding took 16 weeks per bank. Fragmented loan data across Jack Henry, FIS, Fiserv systems. Rejecting new contracts—couldn't scale operations.

Solution: Multi-tenant fabric auto-ingests Jack Henry, FIS, Fiserv data. Maps loan histories, reconciles fields, executes CECL models in parallel.

16 weeks → 3 weeks
Onboarding time • 85% data work eliminated • 5x capacity increase

Pharmacy Retail

250+ Stores • GCC Region

Problem: Same insulin appearing as 47 different item codes. Duplicate SKUs causing stock-outs and overstocking. Manual reconciliation consuming entire category management team.

Solution: AI-powered MDM auto-matches item masters across suppliers, pack sizes, dosages. One golden record across all 250+ pharmacies.

73% → 97%
Stock accuracy • 98.5% match accuracy • 60 hrs manual work eliminated

Retail Conglomerate

30+ Brands • Azure + Databricks + Unity Catalog

Problem: 300+ Power BI reports, but insights locked behind technical teams. Simple query requiring SQL expertise taking weeks. Critical pricing errors undetected for months.

Solution: Knowledge layer on existing Azure + Databricks stack. LLMs generate business metadata, link to Unity Catalog. NLQ across 8 personas, 30 brands.

3-6 weeks → <1 min
Data to insight • 250+ reports automated • 1,200+ users self-serve

International Airlines

Fare Rule Automation • LLM-Powered

Problem: GDS systems using regex parsers with 12%+ error rates. Misinterpreted fare rules causing penalties. Refund processing taking hours, manual interpretation bottleneck.

Solution: World's first GenAI-powered fare rule engine. LLM replaces regex for intelligent natural language interpretation of complex fare rules across all GDS platforms.

82% → 99.8%
Accuracy improvement • Hours → Seconds processing • Industry-first AI solution
SOLUTIONS BY SEGMENT

Two Paths. One Destination.

Choose the solution that matches your data maturity

Segment 1


Emerging Data Leaders

WHO YOU ARE
  • Mid-sized companies with little to no data infrastructure
  • Data scattered across Excel, departmental silos, legacy tools
  • Leadership needs firm-wide 360° visibility to make decisions
  • Ready to move from data-blind to data-driven

SCIKIQ Solution

Data Hub – Business 360°
Seamless Integration
Connect all data sources instantly
Intuitive Dashboards
No-code business intelligence
NLQ & Analytics
Ask questions in plain English
KEY BENEFITS
60-90 days
to ROI
$100K–$200K
total investment
2-3 people
vs. 10-15 specialists
Start Your Data Journey

Infrastructure Requirements

Application Components

Web Layer: UI & Portal (8x32 pod)
API Layer: REST Services (8x32 pod)
Scheduler: Job Management (8x32 pod)
Load Balancer: Traffic Distribution (8x32 pod)
Minimum: 4 pods × 8vCPU × 32GB RAM

Database & Storage

MySQL DB: Metadata & Config (8x32 pod)
Router: Query Routing (8x32 pod)
Storage: Object Storage / NAS
Analytics DB: Hyperscalar DB (16x64 pod)
Total Pods: 6 pods (4 app + 2 data)

Cloud SKU Equivalents

AWS
8x32 pods: c5.2xlarge
16x64 pod: r5.4xlarge
Storage: S3 + EBS
Azure
8x32 pods: Standard_D8s_v3
16x64 pod: Standard_E16s_v3
Storage: Blob + Premium SSD
GCP
8x32 pods: n1-standard-8
16x64 pod: n1-highmem-16
Storage: Cloud Storage + PD

Network & VPC Setup

VPC/VNet: Dedicated virtual network
Subnets: Public (LB) + Private (App/DB)
VPC Peering: For existing data sources
Security Groups: Firewall rules
NAT Gateway: Outbound connectivity
VPN/ExpressRoute: On-prem connectivity
Flexible Deployment
Deploy on On-Premise • AWS • Azure • GCP • Hybrid Cloud
Segment 2


The Optimizers

WHO YOU ARE
  • Already invested $5M+ in Snowflake, Databricks, Azure
  • Have data infrastructure but low business user adoption
  • Need an intelligence layer for democratization
  • Want to maximize ROI on existing investments

SCIKIQ Solution

Bolt-On Intelligence Layer
Governance Automation
Metadata discovery, cataloging, lineage & data stewardship
GenAI Studio
Natural language insights
AutoML Studio
No-code ML models
Data Product Factory
Productize data assets
KEY BENEFITS
Zero
data migration
30-45 days
deployment
Cloud-agnostic
semantic layer
Layer Intelligence on Your Stack

Infrastructure Requirements (Bolt-On Layer)

Intelligence Layer Components

Web Layer: GenAI Studio UI (8x32 pod)
API Layer: NLQ & Governance APIs (8x32 pod)
Scheduler: AutoML & Orchestration (8x32 pod)
Minimum: 3 pods × 8vCPU × 32GB RAM

Metadata & Storage

Metadata DB: Policies & Lineage (8x32 pod)
Analytics DB: Uses your existing Snowflake/Databricks
Storage: Minimal - connects to your cloud storage
Total Pods: 4 pods (3 app + 1 metadata)

Connects to Your Existing Platform

Snowflake
Direct connector
Databricks
JDBC/ODBC
Azure Fabric
Native APIs
BigQuery
Standard SQL

Cloud SKU Equivalents (Lightweight Deployment)

AWS
8x32 pods: c5.2xlarge (3 pods)
Metadata DB: RDS MySQL (db.r5.large)
Storage: S3 (minimal)
Azure
8x32 pods: Standard_D8s_v3 (3 pods)
Metadata DB: Azure SQL (S2)
Storage: Blob Storage (minimal)
GCP
8x32 pods: n1-standard-8 (3 pods)
Metadata DB: Cloud SQL (db-n1-standard-2)
Storage: Cloud Storage (minimal)

Network & VPC Setup

VPC/VNet: Same or separate from data platform
VPC Peering: Required to your Snowflake/Databricks VPC
Private Link/Endpoint: For secure connectivity
Security Groups: Allow traffic from SCIKIQ pods
Network ACLs: Whitelist SCIKIQ subnet ranges
DNS Resolution: Private DNS zones for endpoints
Critical: VPC peering or PrivateLink must be configured between SCIKIQ and your existing data platform for secure, low-latency connectivity.
Minimal Infrastructure Overhead
~$2K-$4K/mo
Cloud infrastructure costs
Zero migration
Use existing data platform
30-45 days
Deployment time

Two-Layer Architecture

AI Layer (AI-Ready) built on Foundation Layer (Data-Ready)

LAYER 2: AI-READY LAYER

AI-Ready: 4 Add-On SKUs

Data Product Factory

Automated Data Assembly

Self-service data products for business users. Document analysis, chatbots, virtual assistants—all automated.

Data Governance

Metadata Discovery • Data Stewardship • Lineage

Automated metadata discovery, data stewardship workflows, differentiated data lineage tracking. Quality management & compliance built-in. 95% reduction in violations.

AutoML Studio

Automate ML Workflows

Automated model selection, data prep, feature engineering. One-click deployment from experiments to production.

GenAI Studio

Chat-Based Data Intelligence

Interact with complex datasets using natural language. Smart profiling, data semantics & contextual understanding.

AI-Ready Layer: Advanced AI capabilities—GenAI, AutoML, Data Products & Governance—turning data into intelligent actions.

Built on top of
LAYER 1: FOUNDATION DATA LAYER

Data-Ready: 4C Framework

CONNECT
200+ Connectors
CONTROL
Govern & Secure
CURATE
Transform & Prep
CONSUME
Insights & APIs

Foundation Layer: Unified data ingestion, governance, transformation & delivery—making your data ready for AI.

Complete Platform = AI-Ready Layer (4 SKUs) built on Foundation Data Layer (4C)

WHY SCIKIQ

Built Different. Built for Enterprise AI.

Not another point solution—a complete data intelligence platform

Capability SCIKIQ Boomi DOMO Incorta Databricks Azure Fabric
AI-First Architecture
Built for AI/ML
Integration only
BI dashboards
Analytics focus
DBX only
Azure only
Time to Production
8-12 weeks
6-12 months
3-6 months
4-6 months
4-8 months
6-9 months
Multi-Cloud Support
AWS, Azure, GCP
Yes
Yes
Yes
DBX locked
Azure only
Natural Language Query
Built-in
Not included
Basic search
Limited
Yes
Limited
Business User Ready
No-code
Technical only
Drag & drop
Training needed
Setup needed
Power BI needed

SCIKIQ Advantage: 60-90 days to ROI vs. 18+ months • Cloud-agnostic vs. vendor lock-in • Complete platform vs. point solutions

Every day without unified data costs you $10K-$50K in lost productivity

Calculate Your ROI with SCIKIQ

See your exact savings in 60 seconds

Your Current Situation

Your Savings with SCIKIQ

Annual Cost Savings
$512K
Save 80% on TCO
Current Annual Spend: $640K
SCIKIQ Annual Cost: $128K
Time to Market: 10x faster
8 tools → 1 platform
Team: 8 → 3
12 months → 2-3 months

What You Get in Your Free Demo:

TCO savings calculator — see exact $$ saved
Custom implementation roadmap — 60-90 day plan
Live demo with YOUR data — not generic slides
ROI projection report — take to your CFO
Get Free Data Stack Audit ($5K Value) Watch Demo Video
Trusted By
Fortune 500 Facilities Management • 200+ Regional Banks • Leading Pharmacy Chains • Top Retail Conglomerates
60-90 Days
to ROI
Zero Migration
No disruption
Enterprise-Ready
Battle-tested
GET STARTED

Ready to Transform Your Data Stack?

Response in under 4 hours

Talk to Sales

Business hours response guaranteed
Your information is secure and confidential

Contact Info

Email Sales info@scikiq.com
Book a Demo Schedule on Calendly

Investor Relations

For partnership, investment, or strategic inquiries:
investors@scikiq.com