Milo
Milo is a secure AI data analyst that helps teams query, analyze, and understand their data using natural language. Instead of building complex dashboards or writing SQL, users can simply ask questions and receive instant answers, charts, and insights.
The platform connects directly to company data sources and transforms raw data into clear analysis within seconds. Milo is designed for business teams, analysts, and product managers who need quick access to insights without relying on manual reporting or traditional business intelligence tools.
Security and data governance are core to Milo’s architecture. The platform is built for enterprise environments and includes strict access controls to ensure sensitive company data remains protected.
By simplifying how teams interact with data, Milo enables organizations to move faster, reduce dependency on manual reporting workflows, and make better decisions with real-time, AI-driven analysis.
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Databricks Data Intelligence Platform
The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. The winners in every industry will be data and AI companies. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals. Databricks combines generative AI with the unification benefits of a lakehouse to power a Data Intelligence Engine that understands the unique semantics of your data. This allows the Databricks Platform to automatically optimize performance and manage infrastructure in ways unique to your business. The Data Intelligence Engine understands your organization’s language, so search and discovery of new data is as easy as asking a question like you would to a coworker.
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Dataplex Universal Catalog
Dataplex Universal Catalog is Google Cloud’s intelligent governance platform for data and AI artifacts. It centralizes discovery, management, and monitoring across data lakes, warehouses, and databases, giving teams unified access to trusted data. With Vertex AI integration, users can instantly find datasets, models, features, and related assets in one search experience. It supports semantic search, data lineage, quality checks, and profiling to improve trust and compliance. Integrated with BigQuery and BigLake, it enables end-to-end governance for both proprietary and open lakehouse environments. Dataplex Universal Catalog helps organizations democratize data access, enforce governance, and accelerate analytics and AI initiatives.
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IOMETE
IOMETE is a self-hosted data lakehouse platform built on Apache Iceberg, Apache Spark, and Kubernetes. Run it on-premises or in your private cloud — your infrastructure, your data, your control.
Built for enterprises in regulated industries, IOMETE eliminates third-party ICT risk at the data layer by architecture — not by contract. No SaaS dependencies. No data leaving your perimeter. Compliance with GDPR, DORA, and NIS2 is structural, not contractual.
Included in one platform:
- Data Lakehouse(s)
- Data Catalog
- SQL Editor
- Apache Spark Jobs
- ML Notebooks
- Orchestration Engine
- Spark Connect
Key capabilities: Apache Iceberg-native storage, Kubernetes-native deployment (K8s + OpenShift), row/column/tag-based access control, Data Mesh support, air-gapped and zero-trust compatible.
Transparent pricing — CPU-based, no per-query fees, no billing surprises.
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