Python and R notebooks.
Cost-effective and scalable notebooks connected to your databases for easy experimentation.
Manage dependencies, schedule runs and explore version history.
Share notebooks as interactive data apps.
Templated ML & AI models to run on your databases.
A templatized gallery of interesting Jupyter notebooks for Time-Series Analytics, Financial Data Analytics, Image Recognition.
Modern SQL query editor and drag & drop visualizations.
Create a library of common re-usable queries, visualize data, and share your results.
Organize and Collaborate.
Organize SQL queries, notebooks and dashboards in collections.
Share database connections and other environment variables with your team.
Use excess cloud capacity to run workloads at fraction of costs.
We automate cloud infrastructure to ensure performance, reduce complexity and optimize costs.
We use spot instances (AWS) or Preemptible VM Instances (GCP) to run your bigger workloads.
Low code automation.
Send report on slack, post to twitter, create a github issue or use 100's of other formulas.
Integrates with all popular databases, data lakes and data warehouses.
Signals.ai integrates with your existing tech stack and is up and running in the same day, with no changes to your existing systems or processes. No implementation required.
Use our cloud offering or self host in your VPC.