Improvado
improvado.ioPrepare connected marketing data for warehouse reports and AI analysis.
Prepare connected marketing data for warehouse reports and AI analysis.
Serialize structured data with schemas and compact binary encoding across supported programming languages.
Request market prices and company data through a developer API
Define JavaScript and TypeScript schemas that validate data and infer its types.
Insert a transform-and-routing layer between telemetry sources and observability or security destinations.
Find private companies by sector, funding stage and location
Retrieve current, forecast, and historical weather data in a single coordinate-based request.
Store and query observability telemetry in a columnar data lake with SQL and PromQL.
An unauthenticated HTTP API for querying World Bank country and development-indicator time series.
Look up bond securities and reported fixed-income trades
Request audit confirmations and review bank data with client authorization
An analytical database offered as a managed service and as a self-managed engine.
Data systems and end-to-end data work
Lyon's metropolitan data catalogue and reuse guidance
Select market datasets by instrument, interval and observation type
Collect, harmonize and monitor marketing data before it reaches reporting systems.
Explore warehouse data in workbooks and build analytical applications around it.
Connect, transform and store business data before sharing dashboards and reports.
AI review analytics and marketplace data for sellers and brands
A distributed SQL engine for real-time analytics, data warehousing, and search workloads.
Jupyter-native AI agent that writes, runs, and debugs Python in notebooks.
Analyze product funnels and retention using event data already in a warehouse.
Compare exchange activity and blockchain metrics with explicit data-access limits
AI data agent that works with your own SQL inside your editor