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What is Semarchy xDM?
Explore Semarchy’s adaptable unified data platform to enhance decision-making across your entire organization. Using xDM, you can uncover, regulate, enrich, clarify, and oversee your data effectively. Quickly produce data-driven applications through automated master data management and convert raw data into valuable insights with xDM. The user-friendly interfaces facilitate the swift development and implementation of applications that are rich in data. Automation enables the rapid creation of applications tailored to your unique needs, while the agile platform allows for the quick expansion or adaptation of data applications as requirements change. This flexibility ensures that your organization can stay ahead in a rapidly evolving business landscape.
What is SCIKIQ?
SCIKIQ: The Unified Platform for Enterprise AI & Data Products
SCIKIQ is the all-in-one AI and Data orchestration platform designed to move enterprises from fragmented data silos to production-ready AI. Recognized by Forrester as a Top 34 AI-enabled platform globally, SCIKIQ provides the "connective tissue" between complex architectures and the business teams who drive revenue.
The Problem We Solve
Most AI initiatives fail due to "data chaos"—fragmented sources, lack of governance, and high engineering overhead. SCIKIQ eliminates these barriers by bringing together everything an enterprise needs—clean data, trusted governance, semantic context, and real-time orchestration—into a single, unified platform.
Key Capabilities
Unified Data Hub: A foundational architecture that creates a "Single Version of Truth" across all departments, legacy systems (SAP, Oracle), and multi-cloud environments.
"Prompt-to-Process" AI Co-pilot: A world-class interface that transforms natural language prompts into actionable data products, real-time dashboards, and automated insights.
Intelligent Agents: Deploy autonomous agents that don’t just "chat" but execute multi-step business processes with full semantic context and orchestration.
Enterprise Governance: Built-in lineage and policy enforcement for highly regulated industries like BFSI, Telecom, and Healthcare.
Why Choose SCIKIQ?
Launch Data Products Faster: Built for business teams to turn internal data into high-margin revenue streams via a "Data Product Factory."
Reduce Data Debt: Automate 80% of the manual cleaning and integration tasks that stall AI projects.
Global Validation: Named a Top 10 Deep Tech company by NASSCOM and selected by AWS for showcase at MWC and re:Invent.
From Conversation Analytics to KPI Deep Dives
SCIKIQ is the trusted choice for visionaries architecting the world’s most formidable AI-driven companies.
Scale AI with confidence. Clean data. Trusted governance. One platform.
Integrations Supported
Amazon S3
Amazon Web Services (AWS)
Apache Kafka
Dropbox
Experian Email Verification
Google Cloud Platform
Google Maps
Hadoop
IBM Db2
Jitterbit
Integrations Supported
Amazon S3
Amazon Web Services (AWS)
Apache Kafka
Dropbox
Experian Email Verification
Google Cloud Platform
Google Maps
Hadoop
IBM Db2
Jitterbit
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Semarchy
Date Founded
2011
Company Location
United States
Company Website
www.semarchy.com
Company Facts
Organization Name
SCIKIQ
Date Founded
2023
Company Location
India
Company Website
scikiq.com
Categories and Features
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
ETL
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control
Integration
Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services
Master Data Management
Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization
Product Data Management
Bill of Material Management
Document Management
Formula Management
Product Analytics
Product Lifecycle Management
Testing Management
Version Control
Categories and Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Business Intelligence
Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics
Catalog Management
Catalog Creation
Content Library
Content Management
Cross Selling Functionality
Custom Product Attributes
Customizable Catalogs
Desktop Publishing
Pricing Management
Product Comparison
Search
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Data Mining
Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
ETL
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control
Integration
Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services
Master Data Management
Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization
PIM
Content Syndication
Data Modeling
Data Quality Control
Digital Asset Management
Documentation Management
Master Record Management
Version Control