
SCIKIQ is one of the most innovative AI-native Data & Intelligence platforms for enterprises, built to make enterprise data AI-ready in weeks, not years.
Recognized by Forrester among leading AI-augmented data platforms, NASSCOM League of 10, YourStory Tech30, Inc42 and DataIQ, SCIKIQ is trusted by leading global enterprises across the USA, India, and UAE.
SCIKIQ brings Data Integration, Data Quality, Data Governance, Metadata Management, Data Lineage, Semantic Intelligence, Knowledge Graphs, Conversational Analytics, Generative AI, Data Products and AI Agents together in one unified platform. Unlike traditional data platforms that require enterprises to move or rebuild their technology stack, SCIKIQ works with what you already have. Connect SAP, Salesforce, Oracle, Snowflake, Databricks, AWS, Azure, GCP, data lakes, warehouses and enterprise applications through 200+ pre-built connectors, with no rip-and-replace.
What makes SCIKIQ different is Contextual Intelligence.
SCIKIQ doesn't just connect data; it helps AI understand its business meaning. Its semantic layer combines business terms, KPI definitions, metadata, lineage, ownership, rules, ontologies and relationships to create a trusted foundation for enterprise AI. Business users can talk to their data in natural language, investigate KPIs, discover root causes and generate insights without SQL. Data teams gain enterprise-grade governance, quality, lineage and control. AI teams get trusted, contextual data for building GenAI applications and intelligent AI agents.
Why enterprises choose SCIKIQ
AI-ready in 3–6 weeks | 167+ connectors | 99.9% availability | Multi-cloud | No-code | No vendor lock-in | No replatforming
Proven production deployments across Manufacturing retail, airlines, logistics, BFSI
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Concord Horizon is an AI native contract platform built from a complete rewrite of Concord’s technology, applying ten years of experience to a modern architecture for faster and more accurate contract work.
The redesigned interface offers light and dark mode, collapsible navigation, full screen focus, custom columns, advanced filtering, and consistent tables across modules.
AI Copilot supports natural language questions, contract summaries, key point extraction, and fast portfolio insights, while AI Search adds lexical and semantic search with improved performance and multi actions on results.
MCP brings contract intelligence into AI tools like ChatGPT and Claude for summaries, tables, or automated monitoring. Concord applies a strict zero data retention policy with AI partners and never uses customer data to train AI models .
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JSON
JSON, which stands for JavaScript Object Notation, serves as a compact format for data exchange. Its simplicity makes it accessible for human comprehension and straightforward for machines to interpret and create. Derived from a portion of the JavaScript Programming Language Standard ECMA-262 3rd Edition from December 1999, JSON is a text-based format that remains entirely independent of any specific programming language while employing familiar conventions found in C-family languages such as C, C++, C#, Java, JavaScript, Perl, and Python. This versatility positions JSON as an exceptional choice for data interchange.
The structure of JSON is founded on two primary components:
1. A set of name/value pairs, which can be represented in different programming languages as objects, records, structs, dictionaries, hash tables, keyed lists, or associative arrays.
2. An ordered sequence of values, typically manifested in most languages as arrays, vectors, lists, or sequences.
These fundamental structures are universally recognized, and nearly all contemporary programming languages incorporate them in some capacity, further enhancing the utility and appeal of JSON as a data format.
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Red Hat Process Automation Manager
Create cloud-native applications designed to streamline business decisions and processes. Red Hat® Process Automation Manager serves as a robust platform for crafting containerized microservices and applications aimed at automating these business functions. It encompasses various technologies, including business process management (BPM), business rules management (BRM), as well as business resource optimization and complex event processing (CEP). Additionally, it features a user experience platform that facilitates the development of interactive user interfaces for process and decision services with minimal coding efforts. This platform equips business users with essential tools for modeling flows and policies, utilizing Business Process Model and Notation (BPMN) models, Decision Model and Notation (DMN) models, and specialized rule languages tailored to specific domains. With a focus on cloud development, users can seamlessly deploy their finished models as containerized microservices on Red Hat OpenShift. Furthermore, it leverages the full power of Drools, a widely recognized open-source rules engine, ensuring flexible and effective automation solutions. Overall, this approach enhances operational efficiency and fosters innovation across various business sectors.
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