An entire data team. One download.

1. Step 01

   01

   Ask

   Start from a business question, such as monthly revenue by region, or name the pipeline you need. Emolysis finds the sources that can answer it: the tables in the platform you connect, sampled to your machine.

   ›/dashboard "monthly revenue by region"

2. Step 02

   02

   Confirm the definition

   You confirm what the metric means: its measures, grain and joins. The agents send your request, with the schema details they need, to the AI model provider you choose.

   ›semantic model · confirmed by you

3. Step 03

   03

   Build and test

   Emolysis fills the template for your platform and runs its golden tests on DuckDB on your machine. A failing test sends it back to the template, not to production.

   ›template.test · 6 of 6 match

4. Step 04

   04

   Dashboard, then deploy

   You see the dashboard on your machine first. A green run deploys as your platform's native unit, such as a Databricks Asset Bundle, and publishes the dashboard when you ask for one.

   ›pipeline.deploy · bundle to dev

• Ingest (batch)
• Incremental append
• CDC merge
• SCD Type 2
• Snapshot
• Backfill
• Late-arriving
• Dedupe / conform
• Aggregation / gold
• Reverse ETL

USD, excluding tax · every plan accepts your own model key · allowances are set before paid plans open

1. 01

   What is Emolysis?

   Emolysis is the agentic lakehouse for data engineering and analytics, made by Bandpey GmbH. Direct a team of agents from your laptop to investigate business questions, develop dashboards, and build and test pipelines for your data platform. Databricks comes first, with Snowflake and Microsoft Fabric planned. Instead of writing each pipeline from scratch, it picks one of ten known pipeline shapes, fills a template written for your platform, and proves the result with golden tests on DuckDB on your machine.

2. 02

   What does local-first mean for Emolysis?

   It means the development loop runs on your machine. Emolysis pulls a small sample of your data into DuckDB, fills templates and runs golden tests locally, so iterating does not spend warehouse compute. Production still runs on your platform, under your account. It does not mean that nothing leaves your machine: to write code, the agent sends prompts to the AI model provider you choose. With a paid plan's model usage, those prompts pass through Emolysis's metering service, which is designed not to store or log their content. Dashboards leave your machine when you publish them, and only then.

3. 03

   Does my data leave my machine?

   Some of it can. To write code, the agent sends prompts to the AI model provider you choose, and a prompt can include table and column names, schemas and sample values from your data. With a paid plan's model usage, prompts pass through Emolysis's metering service, which is designed not to store or log them. A dashboard leaves your machine when you publish it, and only then. Your platform credentials stay in your machine's credential store, and samples you pull are stored in the project on your machine.

4. 04

   Which platforms does Emolysis support?

   Databricks is first and in development. Snowflake and Microsoft Fabric are planned; none of the three has run on a real account yet. PostgreSQL, MySQL and SQLite are in development as sources, and SQL Server is planned as a source. DuckDB is the local engine on your machine for development and golden tests; it is not a production target.

5. 05

   Is Emolysis free?

   There is a Free plan. It is bring your own key: you add a key from the model provider you choose, pay that provider for what you use, and pay Emolysis nothing. Like every plan, it is an Emolysis account. Paid plans add more platforms, the full template library, sharing and the planned GitHub App, and Pro, Max and Team include model usage. Nothing can be bought or downloaded yet.

6. 06

   Is there a release date for Emolysis?

   There is no release date yet. Emolysis is in private development, and the Databricks loop comes first: connect a workspace, ask a business question, and get a tested gold pipeline plus a shared dashboard. We announce availability on the news page.