4.6 out of 5 stars
(14 Ratings)
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, UK 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, Healthcare and others
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5.0 out of 5 stars
(2 Ratings)
Okyline is an Executable Data Design (EDD) platform that transforms validation contracts into executable operational assets for enterprise data quality.
Instead of multiplying specifications, custom validators, monitoring scripts, tests, and reporting layers, Okyline relies on a single readable contract shared across validation, quality control, and operational monitoring activities.
The contract itself becomes executable and directly drives deterministic validation, advanced business invariant verification, multi-format processing, data quality gates, operational metrics, and historical quality analytics.
Okyline validates APIs, enterprise events, files, streaming payloads, LLM structured outputs, and distributed data flows while continuously producing measurable quality indicators, completeness statistics, validation traces, and error propagation insights.
Because contracts are created from annotated sample data, validation rules remain immediately understandable for developers, architects, QA teams, integration specialists, and business analysts.
The Community Edition includes the public specification, a free Java validation runtime, a Claude AI assistant for contract generation, JSON Schema transpilation support, and a free online studio for executable JSON contracts.
The Enterprise Edition extends the same contract-centric model to native validation of JSON, JSONL, XML, CSV, FIXED, and EDI flows, combined with operational quality dashboards, data quality gates, and long-term quality tracking capabilities, all without requiring databases, warehouses, or centralized infrastructure.
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EZConvertBI
EZConvertBI is a cutting-edge solution designed to facilitate the migration of business intelligence assets, utilizing artificial intelligence to simplify the complex process of transferring dashboards, reports, datasets, and analytics from legacy BI systems such as Tableau, Qlik, and Power BI to modern cloud-based platforms like Amazon QuickSight, Looker, and Power BI. By implementing this solution, organizations can significantly accelerate the migration of their BI resources, achieving speed improvements of up to 90% while also realizing considerable cost efficiencies, all without compromising the integrity of visual designs, business logic, SQL queries, extracts, and calculations throughout the transition. The solution incorporates an Analyzer module that connects with current BI systems or uploaded files to assess complexity, identify duplicate or outdated dashboards, and generate extensive diagnostic reports that outline the migration scope, estimated costs, and potential implications. Furthermore, its automated conversion engine adeptly maps and transforms dashboards, datasets, and queries to fit the target environment, ensuring that both functionality and the accuracy of visuals and underlying logic are preserved. This revolutionary method not only streamlines the migration journey but also enables businesses to fully leverage their data capabilities within a contemporary analytics framework. As organizations increasingly seek to optimize their data utilization, solutions like EZConvertBI play a pivotal role in modernizing their BI infrastructure effectively.
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BIChart
BIChart serves as an all-encompassing enterprise software solution designed to aid businesses in the migration, modernization, and enhancement of their business intelligence systems, particularly in the transition from Tableau to Microsoft Fabric and Power BI.
By automating numerous tasks, the platform simplifies the technical elements associated with converting Tableau content into Power BI. BIChart meticulously analyzes Tableau workbooks, published data sources, calculations, parameters, filters, relationships, visuals, and semantic logic, generating Power BI project files and semantic models specifically tailored for implementation within a Microsoft Fabric framework. This feature allows organizations to preserve their current business logic while significantly reducing the manual redevelopment typically required during a business intelligence migration.
Beyond its core migration capabilities, BIChart also provides powerful tools for environment-level assessment and migration planning. Organizations can perform an exhaustive scan of their Tableau ecosystem to create a detailed inventory of workbooks, projects, data sources, usage patterns, metadata, dependencies, and Tableau Prep flows, ensuring a holistic understanding of their existing assets prior to the transition. By utilizing these valuable insights, businesses can effectively optimize their migration strategies and enhance their new business intelligence environment, ultimately leading to greater operational efficiency and improved decision-making processes. Moreover, this comprehensive approach not only facilitates a smoother transition but also positions organizations for future growth in their data analytics capabilities.
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