Semantik:
Quick insights for the cloud age
Transform how your organisation interacts with cloud data. Semantik is a groundbreaking platform that applies visual semantic layering to break down data silos, turning complex multi-system data warehouses into intuitive visual maps. By automatically connecting and contextualising data across your cloud environment, Semantik eliminates technical barriers and reveals hidden relationships that traditional analysis misses. Whether you're dealing with scattered data sources, complex technical implementations, or limited analytical tools, our platform makes enterprise-wide insights accessible to everyone on your team.
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The Data Access Dilemma
Data Silos
Critical business data remains trapped in disparate systems - from legacy Oracle databases to modern cloud services like AWS and Azure. Teams waste 60% of their time just locating and connecting these fragmented data sources.
Technical Barriers
Data teams struggle with complex query languages, varying API specifications, and inconsistent data formats. Even experienced analysts need weeks to master each new data source's unique technical requirements.
Limited Insights
Current tools only show surface-level metrics, missing crucial data relationships. Organizations can't see how customer behavior connects to supply chain efficiency or how product usage impacts revenue patterns.
Semantik: A Unified Data Language
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Visual Semantics
Semantik allows modelling data - from metrics and dimensions to complex star schemas rapidly and visually, unlocking modern data warehosuing or lakehouse platforms like BigQuery, Snowflake or Databricks for data or business analysts.
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Unified Data Model
Our platform connects and standardizes data from cloud warehouses, allows visual modelling, semi-automated AI labelleing as well as an intuitive semantic sreach.
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Interactive Exploration
Users can click through data lineage paths, drill down into field-level metadata, and discover connections between datasets through an intuitive point-and-click interface.
Key Product Features
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Intuitive Interface
Semantik's intuitive drag-and-drop interface lets users build sophisticated visual data models in minutes. Create entity relationships, define hierarchies, and map data flows by simply dragging elements onto the canvas. The visual editor supports custom field mapping, data transformation rules, filtering, deploying views to BigQuery and visualising the semantic layer.
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Real-time Collaboration
Teams can collaborate in real-time with shared workspaces, live commenting, and version control. Multiple users can simultaneously edit models, leave contextual feedback, and track changes. Built-in approval workflows ensure data models maintain consistency across teams.
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Automated Data Discovery
Semantik's engine automatically identifies table relationships, data lineage, and field correlations across your data sources (join/no join). It suggests relevant connections between tables, detects data quality issues, and provides smart recommendations for optimizing your data model structure.
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Visualisation and reporting
Following the deployment of views Semantik allows data caching as well as data visualisation via quick Streamlit data apps or via Google Sheets connectivity.
Semantik in action
From raw BigQuery tables to actionable insights and data app in 7 mins.
How Semantik Works
Connect Data Sources
Connect to your preferred data sources - Semantik seamlessly integrates with BigQuery and Snowflake and Databricks are on the roadmap.
Intelligent Analysis
Our intelligent engine uses machine learning to detect relationships, data hierarchies, and common business dimensions, automatically creating a comprehensive data model that reflects your organization's structure.
Semantic Layer Generation
The platform generates an interactive semantic layer with customizable entity diagrams, relationship maps, and metadata documentation, making complex data structures instantly understandable and useful.
Business Exploration
Business users can explore data connections through an intuitive interface, identify trends through automated pattern recognition, and create shareable dashboards with drill-down capabilities for deeper analysis via Streamlit.
Benefits for Data Teams
Reduced Complexity
Semantik cuts data preparation time by up to 60% by automating relationship mapping and standardizing data access across multiple warehouses. Teams spend less time on ETL processes and more time generating valuable insights.
Enhanced Collaboration
With Semantik's visual semantic layer, data teams can easily share and explain complex data models to business stakeholders. Built-in documentation and version control ensure everyone works from the same verified data definitions.
Faster Insights
Data teams can discover patterns and relationships 3x faster using Semantik's automated data discovery. The visual exploration tools help analysts quickly validate hypotheses and create actionable dashboards for business users.
Pricing
Subscription-Based Pricing
Three flexible tiers starting from $xxx/month for startups to $xxx/month for enterprises, with custom pricing for large deployments. Each plan includes core analytics features with premium add-ons available.
Per-User Licensing
Transparent pricing at $xx per user monthly, with volume discounts starting at 50+ users. Includes dedicated support, training, and quarterly business reviews for enterprise customers.
Cloud Deployment
A trues SaaS built on Google Cloud infrastructure, offering 99.999% uptime SLA, automatic scaling, and regional data residency options. Reduces customer TCO by 40% compared to on-premise solutions.
Private Semantik
We provide you with the expertise to deploy Semnatik on your local Kubernetes engine or in a Docker container in the infrastructure of your choice. Contact us for more.
The Team Behind Semantik
Semantik is built by a diverse team of data scientists, cloud architects, and enterprise software veterans with over 50 years of combined experience in making complex data systems accessible. Our engineering leaders previously built data platforms at companies like Google, Snowflake, Databricks and others, while our product team brings deep expertise in enterprise UX design and API development. This unique blend of technical depth and user-centric thinking drives us to create solutions that transform how businesses interact with their data – making powerful insights available to everyone, not just technical specialists.
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