
SCIKIQ is an AI-native Data & Intelligence Platform designed to help enterprises make their data trusted, governed, connected, and ready for AI in weeks rather than years. Recognized by Forrester, NASSCOM League of 10, YourStory Tech30, Inc42, and DataIQ, SCIKIQ supports enterprises across the USA, India, UK, and UAE.
SCIKIQ brings together Data Integration, Data Quality, Data Governance, Metadata Management, Data Lineage, Semantic Intelligence, Knowledge Graphs, Conversational Analytics, Generative AI, Data Products, and AI Agents within one unified platform.
Unlike traditional data platforms that often require extensive replatforming or migration, SCIKIQ works with an enterprise’s existing technology ecosystem. Organizations can connect SAP, Salesforce, Oracle, Snowflake, Databricks, AWS, Azure, GCP, data lakes, data warehouses, and enterprise applications through 200+ pre-built connectors, without rip-and-replace.
Contextual Intelligence at the Core
SCIKIQ goes beyond connecting data by helping AI understand the business context behind it.
Its semantic intelligence layer brings together business terminology, KPI definitions, metadata, lineage, ownership, business rules, ontologies, and relationships to create a trusted context layer for enterprise analytics and AI.
Business users can ask questions in natural language, investigate KPIs, identify root causes, and generate insights without writing SQL. Data teams gain enterprise-grade capabilities for data integration, quality, governance, lineage, metadata, and control.
AI teams gain trusted, contextual enterprise data for building Generative AI applications, copilots, and intelligent AI agents.
Why Enterprises Choose SCIKIQ
AI-ready in 3–6 weeks | 200+ connectors | 99.9% availability | No-code | Multi-cloud | No vendor lock-in | No replatforming
SCIKIQ has production deployments across industries including manufacturing, retail, aviation, logistics, BFSI, healthcare, and other data-intensive enterprises.
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Okyline is an Executable Data Design (EDD) platform for declarative data validation contracts and measurable operational data quality.
Instead of maintaining disconnected specifications, validators, tests, and quality dashboards, Okyline uses a single executable contract as the operational source of truth for validation and flow quality monitoring.
The same readable contract drives multi-format validation, deterministic execution, quality measurement, data quality gate, and historical quality analytics across APIs, events, files, LLM structured outputs, and enterprise data flows.
Community Edition provides the open specification, a free Java validation runtime, a public Claude AI assistant for contract generation, and a free online studio for executable JSON validation contracts and JSON Schema transpilation.
Enterprise Edition supports direct validation of JSONL, XML, CSV, FIXED, and EDI flows, data quality gate, and operational quality dashboards, all without databases
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Nirveda Cognition
Make Smarter, Faster & More Informed Decisions. Enterprise Document Intelligence Platform to turn data into Actionable Insights. Our versatile platform uses cognitive Machine Learning and Natural Language Processing algorithms to automatically classify, extract, enrich, and integrate relevant, timely, and accurate information from your documents. The solution is delivered as a service to lower the cost of ownership and accelerate time to value. How It Works. CLASSIFY. Ingest structured, semi-structured, or unstructured documents. Identify and classify documents based on semantic understanding of language and visual cues. Extract. Extracts words, short phrases, and sections of text from printed, handwritten, and tabular data. Detects the presence of a signature or page annotation. Easily review and make corrections to the extracted data. AI uses human corrections to learn and improve. Enrich. Customizable data verification, validation, standardization and normalization.
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