
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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Codd AI
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Traditional BI tools and dashboards are great for reports and dashboards that focuses on reporting, but require massive IT resources to manually model or apply business context when they build reports or dashboards. Codd AI reduces the manual modeling efforts by 70% or more and provide a hallucination-free query agent to allow your most non-technical users and analysts to interact with corporate data warehouses.
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TextQL
The platform effectively consolidates business intelligence tools and semantic layers, documents data using dbt, and integrates OpenAI and language models to enhance self-service advanced analytics capabilities. With TextQL, individuals lacking technical expertise can easily engage with data by asking questions in their preferred communication platforms like Slack, Teams, or email, receiving swift and secure automated replies. Moreover, the platform utilizes natural language processing and semantic layers, such as the dbt Labs semantic layer, to provide coherent and insightful solutions. TextQL improves the workflow from inquiry to answer by smoothly transitioning to human analysts when needed, considerably optimizing the entire procedure with AI support. Our mission at TextQL revolves around empowering business teams to access the data they require in less than a minute. To fulfill this objective, we aid data teams in identifying and documenting their datasets, ensuring business teams can trust the accuracy and relevance of their reports. Ultimately, our dedication to simplifying data accessibility revolutionizes how organizations leverage their information assets, fostering a more informed decision-making process across the board. By prioritizing user experience, we aim to bridge the gap between complex data and actionable insights.
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